Journal of the Royal Statistical Society Series A

1988 - 2022

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Volume 185, issue S2, 2022

Big data meets survey science pp. S167-S169

Don Jang and Ana Lucía Córdova Cazar

Intercensal updating using structure‐preserving methods and satellite imagery pp. S170-S196

Till Koebe, Alejandra Arias‐Salazar, Natalia Rojas‐Perilla and Timo Schmid

Neural forecasting of the Italian sovereign bond market with economic news pp. S197-S224

Sergio Consoli, Luca Tiozzo Pezzoli and Elisa Tosetti

Non‐participation in smartphone data collection using research apps pp. S225-S245

Florian Keusch, Sebastian Bähr, Georg‐Christoph Haas, Frauke Kreuter, Mark Trappmann and Stephanie Eckman

Understanding political news media consumption with digital trace data and natural language processing pp. S246-S269

Ruben L. Bach, Christoph Kern, Denis Bonnay and Luc Kalaora

Estimating the number of persons with HIV in jails via web scraping and record linkage pp. S270-S287

Bonnie E. Shook‐Sa, Michael G. Hudgens, Andrew L. Kavee and David L. Rosen

Seismonomics: Listening to the heartbeat of the economy pp. S288-S309

Luca Tiozzo Pezzoli and Elisa Tosetti

Analysing establishment survey non‐response using administrative data and machine learning pp. S310-S342

Benjamin Küfner, Joseph W. Sakshaug and Stefan Zins

Is Facebook's advertising data accurate enough for use in social science research? Insights from a cross‐national online survey pp. S343-S363

André Grow, Daniela Perrotta, Emanuele Del Fava, Jorge Cimentada, Francesco Rampazzo, Sofia Gil‐Clavel, Emilio Zagheni, René D. Flores, Ilana Ventura and Ingmar Weber

Evaluation of consent to link Twitter data to survey data pp. S364-S386

Zeina Mneimneh

Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour pp. S387-S407

Henning Silber, Johannes Breuer, Christoph Beuthner, Tobias Gummer, Florian Keusch, Pascal Siegers, Sebastian Stier and Bernd Weiß

When survey science met web tracking: Presenting an error framework for metered data pp. S408-S436

Oriol J. Bosch and Melanie Revilla

Pictures instead of survey questions: An experimental investigation of the feasibility of using pictures in a housing survey pp. S437-S460

Goran Ilic, Peter Lugtig, Barry Schouten, Maarten Streefkerk, Joris Mulder, Pradeep Kumar and Seyit Höcük

A diagnostic framework for the Bradley–Terry model pp. S461-S484

Weichen Wu, Nynke Niezink and Brian Junker

Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants pp. S485-S514

Daniel Gladwell, Gurleen Popli and Aki Tsuchiya

Fertility, economic incentives and individual heterogeneity: Register data‐based evidence from France and Germany pp. S515-S546

Cäcilia Lipowski, Ralf Wilke and Bertrand Koebel

COVID‐19 clinical footprint to infer about mortality pp. S547-S572

Carlos E. Rodríguez and Ramsés H. Mena

When the ends do not justify the means: Learning who is predicted to have harmful indirect effects pp. S573-S589

Kara E. Rudolph and Iván Díaz

Expectile regression for multi‐category outcomes with application to small area estimation of labour force participation pp. S590-S619

James Dawber, Nicola Salvati, Enrico Fabrizi and Nikos Tzavidis

A probabilistic formalisation of contextual bias: From forensic analysis to systemic bias in the criminal justice system pp. S620-S643

Maria Cuellar, Jacqueline Mauro and Amanda Luby

Bayesian spatio‐temporal modeling for the inpatient hospital costs of alcohol‐related disorders pp. S644-S667

Zhen Yu, Keming Yu, Wolfgang Härdle, Xueliang Zhang, Kai Wang and Maozai Tian

A semi‐parametric approach to model‐based sensitivity analysis in observational studies pp. S668-S691

Bo Zhang and Eric J. Tchetgen Tchetgen

Multivariate mixture model for small area estimation of poverty indicators pp. S724-S755

Agne Bikauskaite, Isabel Molina and Domingo Morales

Sampling design and analysis pp. S756-S756

June Elijah Simakani

Innovative methods for rare disease drug development pp. S757-S757

Min‐Hua Jen

Probability, Choice and Reason pp. S758-S758

Simon French

Review of ‘Object Oriented Data Analysis’ pp. S759-S760

Arthur Pewsey

Handbook of multiple comparisons pp. S759-S759

Amit K. Chowdhry

Random circulant matrices pp. S761-S762

Richard H. Glendinning

Replication and evidence factors in observational studies pp. S762-S763

Li‐Pang Chen

Protecting your privacy in a data‐driven world pp. S763-S764

Stefan Stein

Bayesian Modeling and Computation in Python Learning pp. S764-S765

Stanley E. Lazic

R for health data science pp. S765-S766

Michael Greenacre

Introduction to High‐Dimensional Statistics pp. S767-S767

Li‐Pang Chen

Project‐based R companion to introductory statistics pp. S768-S768

Colin McNicholl

Martingale methods in statistics pp. S769-S769

Li‐Pang Chen

Supervised Machine learning for text analysis in R pp. S770-S770

James Todd

Linear regression models: Applications in R pp. S771-S771

Md. Moyazzem Hossain

Security risk models for cyber insurance pp. S772-S772

Morteza Aalabaf‐Sabaghi

Subjective well‐being and social media pp. S773-S773

Dawn Holmes

Machine learning for knowledge discovery with R, Methodologies for Modeling, Inference and Prediction pp. S774-S774

Amit K. Chowdhry

Handbook of survival analysis pp. S775-S775

Morteza Aalabaf‐Sabaghi

Probability, statistics, and data: a fresh approach using R pp. S776-S777

Shalabh

Handbook of regression analysis with applications in R (second edition) pp. S777-S778

Anoop Chaturvedi

Artificial intelligence and causal inference pp. S778-S779

Stanley E. Lazic

Rank‐based methods for shrinkage and selection: With application to machine learning pp. S779-S780

Shalabh

Volume 185, issue S1, 2022

Introduction pp. S3-S4

Peter J. Diggle and Sylvia Richardson

Are epidemic growth rates more informative than reproduction numbers? pp. S5-S15

Kris V. Parag, Robin N. Thompson and Christl A. Donnelly

On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations and relationships with other ecological measures pp. S16-S27

Nicholas P. Jewell and Joseph A. Lewnard

Predicting epidemics and the impact of interventions in heterogeneous settings: Standard SEIR models are too pessimistic pp. S28-S35

Luc E. Coffeng and Sake J. de Vlas

Justin Lessler and C. Jessica E. Metcalf’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 Transmission: 9 June 2021 pp. S36-S38

Justin Lessler and C. Jessica E. Metcalf

Philip D. O’Neill’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on Covid‐19 Transmission: 9 June 2021 pp. S39-S40

Philip D. O’Neill

John Kingman’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 Transmission: 9 June 2021 pp. S41-S43

John Kingman

John Dagpunar's discussion contribution to papers in Session 1 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S44-S46

John Dagpunar

Peter J. Diggle’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S47-S48

Peter J. Diggle

Lorenzo Pellis’ Discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S49-S50

Lorenzo Pellis

Sylvia Richardson’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S51-S52

Sylvia Richardson

Steven Riley’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S53-S54

Steven Riley

Authors’ reply to the discussion of ‘Are epidemic growth rates more informative than reproduction numbers?’ by Parag et al. in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S55-S60

Kris V. Parag, Robin N. Thompson and Christl A. Donnelly

Authors’ reply to the discussion of ‘On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations, and relationships with other ecological measures’ by Jewell & Lewnard in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S61-S62

Nicholas P. Jewell and Joseph A. Lewnard

Authors’ reply to the discussion of ‘Predicting epidemics and the impact of interventions in heterogeneous settings: standard SEIR models are too pessimistic’ by Coffeng & de Vlas in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021 pp. S63-S64

Luc E. Coffeng and Sake J. de Vlas

Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities pp. S65-S85

Yee Whye Teh, Bryn Elesedy, Bobby He, Michael Hutchinson, Sheheryar Zaidi, Avishkar Bhoopchand, Ulrich Paquet, Nenad Tomasev, Jonathan Read and Peter J. Diggle

A COVID‐19 model for local authorities of the United Kingdom pp. S86-S95

Swapnil Mishra, James A. Scott, Daniel J. Laydon, Harrison Zhu, Neil M. Ferguson, Samir Bhatt, Seth Flaxman and Axel Gandy

Gavin J. Gibson's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021 pp. S96-S98

Gavin J. Gibson

Guy Nason's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021 pp. S99-S102

Guy Nason

Sebastian Funk, Sam Abbott and Johannes Bracher's discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021 pp. S103-S104

Sebastian Funk, Sam Abbott and Johannes Bracher

Christopher Jewell's discussion contribution to papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 pp. S105-S106

Christopher Jewell

Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 pp. S107-S109

Yee Whye Teh, Bryn Elesedy, Bobby He, Michael Hutchinson, Sheheryar Zaidi, Avishkar Bhoopchand, Ulrich Paquet, Ne‐nad Tomasev, Jonathan Read and Peter J. Diggle

Authors' reply to the discussion of ‘A COVID‐19 Model for Local Authorities of the United Kingdom’ by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 pp. S110-S111

Swapnil Mishra, James A. Scott, Daniel J. Laydon, Harrison Zhu, Neil M. Ferguson, Samir Bhatt, Seth Flaxman and Axel Gandy

Estimation of reproduction numbers in real time: Conceptual and statistical challenges pp. S112-S130

Lorenzo Pellis, Paul J. Birrell, Joshua Blake, Christopher E. Overton, Francesca Scarabel, Helena B. Stage, Ellen Brooks‐Pollock, Leon Danon, Ian Hall, Thomas A. House, Matt J. Keeling, Jonathan M. Read, Consortium Juniper and Daniela De Angelis

Assessing the effect of school closures on the spread of COVID‐19 in Zurich pp. S131-S142

Maria Bekker‐Nielsen Dunbar, Felix Hofmann, Leonhard Held and the SUSPend modelling Consortium

Adam Kucharski's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021 pp. S143-S144

Adam Kucharski

Gianpaolo Scalia Tomba's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021 pp. S145-S146

Gianpaolo Scalia Tomba

Peter J. Diggle's discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021 pp. S147-S147

Peter J. Diggle

Steven Riley's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 pp. S148-S149

Steven Riley

Jasmina Panovska‐Griffiths' discussion contribution to papers in Session 3 of the Royal Statistical Society's special topic meeting on COVID‐19 transmission: 11 June 2021 pp. S150-S151

Jasmina Panovska‐Griffiths

Ian Reynold's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 pp. S152-S152

Ian Reynolds

Authors' reply to the discussion of ‘Estimation of reproduction numbers in real time: conceptual and statistical challenges’ by Pellis et al. in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021 pp. S153-S157

Lorenzo Pellis, Paul J. Birrell, Joshua Blake, Ian Hall, Thomas A. House, Christopher E. Overton, Francesca Scarabel, Helena B. Stage and Daniela De Angelis

Session 3 of the RSS Special Topic Meeting on Covid‐19 Transmission: Replies to the discussion pp. S158-S164

Maria Bekker‐Nielsen Dunbar, Felix Hofmann and Leonhard Held

Volume 185, issue 4, 2022

Statistics in times of increasing uncertainty pp. 1471-1496

Sylvia Richardson

Proposal of the vote of thanks for ‘Statistics in times of increasing uncertainty’, Sylvia Richardson's Presidential Address pp. 1497-1498

Deborah Ashby

Discussion of Presidential address: Statistics in times of increasing uncertainty by Sylvia Richardson pp. 1499-1500

David Spiegelhalter

Preface to the Special Issue in memory of Fred Smith and Chris Skinner pp. 1501-1503

Paul A. Smith and Peter W. F. Smith

Post‐strata based on sample quantiles pp. 1504-1521

Wayne A. Fuller

Analysis of clustered survey data based on two‐stage informative sampling and associated two‐level models pp. 1522-1540

Jae Kwang Kim, J.N.K. Rao and Yonghyun Kwon

Secure big data collection and processing: Framework, means and opportunities pp. 1541-1559

Li‐Chun Zhang and Gustav Haraldsen

Estimating monthly labour force figures during the COVID‐19 pandemic in the Netherlands pp. 1560-1583

Jan van den Brakel, Martijn Souren and Sabine Krieg

Weighting, informativeness and causal inference, with an application to rainfall enhancement pp. 1584-1612

Ray Chambers, Setareh Ranjbar, Nicola Salvati and Barbara Pacini

Using saturated count models for user‐friendly synthesis of large confidential administrative databases pp. 1613-1643

James Jackson, Robin Mitra, Brian Francis and Iain Dove

Measuring risk of re‐identification in microdata: State‐of‐the art and new directions pp. 1644-1662

Natalie Shlomo and Chris Skinner

Fitting multivariate multilevel models under informative sampling pp. 1663-1678

Pedro Luis do N. Silva and Fernando Antônio da S. Moura

Estimating regional income indicators under transformations and access to limited population auxiliary information pp. 1679-1706

Nora Würz, Timo Schmid and Nikos Tzavidis

Single‐month unemployment rate estimates for the Brazilian Labour Force Survey using state‐space models pp. 1707-1732

Caio Gonçalves, Luna Hidalgo, Denise Silva and Jan van den Brakel

Sample design for analysis using high‐influence probability sampling pp. 1733-1756

Robert G. Clark and David G. Steel

Time series modelling of repeated survey data for estimation of finite population parameters pp. 1757-1777

Danny Pfeffermann

Quantifying the economic response to COVID‐19 mitigations and death rates via forecasting purchasing managers' indices using generalised network autoregressive models with exogenous variables pp. 1778-1792

Guy P. Nason and James L. Wei

Small data, big time—A retrospect of the first weeks of COVID‐19 pp. 1793-1814

Qingyuan Zhao

Proposer of the vote of thanks and contribution to the Discussion of ‘Statistical Aspects of the Covid‐19 Pandemic’ pp. 1815-1816

Ruth Studley

Seconder of the vote of thanks and contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1817-1819

Sheila M. Bird

Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1819-1821

Tao Wang

Xiaoping Shi, Yue Zhang and Yucheng Dong's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1821-1822

Xiaoping Shi, Yue Zhang and Yucheng Dong

Christine P. Chai's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1823-1824

Christine P. Chai

Anna L. Choi and Tze Leung Lai's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1824-1825

Anna L. Choi

Alex R. Cook, Kwok Pui Choi and Weng Kee Wong's contribution to the ‘First Discussion Meeting on Statistical Aspects of the COVID‐19 Pandemic’ pp. 1826-1827

Alex R. Cook, Kwok Pui Choi and Weng Kee Wong

Peter J. Diggle's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1827-1828

Peter J. Diggle

Alessio Farcomeni and Marco Geraci's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1829-1830

Alessio Farcomeni and Marco Geraci

Shuyi Ge, Oliver Linton and Shaoran Li's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1831-1832

Shuyi Ge, Oliver Linton and Shaoran Li

Kingsuk Jana, Lagnajita Basu and Kaushik Jana's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1832-1833

Kingsuk Jana, Lagnajita Basu and Kaushik Jana

Kuldeep Kumar's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1833-1834

Kuldeep Kumar

Kuldeep Kumar's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1834-1835

Kuldeep Kumar

Shaoran Li, Oliver Linton and Shuyi Ge's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1836-1837

Shaoran Li, Oliver Linton and Shuyi Ge

Jorge Mateu's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1838-1839

Jorge Mateu

Jorge Mateu's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1839-1840

Jorge Mateu

Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1840-1841

Garib Nath Singh

Wei Zhong, Chuang Wan and Changliang Zou's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1841-1843

Wei Zhong, Chuang Wan and Changliang Zou

Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1844-1846

Guy P. Nason and James L. Wei

Zhao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1846-1848

Qingyuan Zhao

Jiang, Zhao and Shao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’ pp. 1849-1854

Feiyu Jiang, Zifeng Zhao and Xiaofeng Shao

Bayesian analysis of social influence pp. 1855-1881

Johan Koskinen and Galina Daraganova

Adjusting misclassification using a second classifier with an external validation sample pp. 1882-1902

Jonas F. Schenkel and Li‐Chun Zhang

Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling pp. 1903-1930

Chenyin Gao, Katherine Jenny Thompson, Jae Kwang Kim and Shu Yang

Using randomized rounding of linear programs to obtain unweighted natural strata that balance many covariates pp. 1931-1951

Katherine Brumberg, Dylan S. Small and Paul R. Rosenbaum

Don't cross the line: Bounding the causal effect of hypergamy violation on domestic violence in India pp. 1952-1978

Punarjit Roychowdhury and Gaurav Dhamija

Temporal and spatial Taylor's law: Application to Japanese subnational mortality rates pp. 1979-2006

Yang Yang, Han Lin Shang and Joel E. Cohen

Modelling time to maximum competency in medical student progress tests pp. 2007-2034

Daniel McNeish, Denis Dumas, Dario Torre and Neil Rice

Credit line exposure at default modelling using Bayesian mixed effect quantile regression pp. 2035-2072

Jennifer Betz, Maximilian Nagl and Daniel Rösch

Poverty and inequality mapping based on a unit‐level log‐normal mixture model pp. 2073-2096

Aldo Gardini, Enrico Fabrizi and Carlo Trivisano

A Bayesian hierarchical model with integrated covariate selection and misclassification matrices to estimate neonatal and child causes of death pp. 2097-2120

Amy R. Mulick, Shefali Oza, David Prieto‐Merino, Francisco Villavicencio, Simon Cousens and Jamie Perin

Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data pp. 2121-2155

Jacqueline D. Seufert, Andre Python, Christoph Weisser, Elías Cisneros, Krisztina Kis‐Katos and Thomas Kneib

Optimising precision and power by machine learning in randomised trials with ordinal and time‐to‐event outcomes with an application to COVID‐19 pp. 2156-2178

Nicholas Williams, Michael Rosenblum and Iván Díaz

Assessing epidemic curves for evidence of superspreading pp. 2179-2202

Joe Meagher and Nial Friel

Sparse temporal disaggregation pp. 2203-2233

Luke Mosley, Idris A. Eckley and Alex Gibberd

A Bayesian multivariate hierarchical growth curve model to examine cumulative socio‐economic (dis)advantage among childless adults and parents pp. 2234-2276

Florianne C. J. Verkroost

Bill McLennan (1942–2022) pp. 2282-2284

Dennis Trewin

A W (Freda) Kemp (1930–2022) pp. 2284-2285

Richard Cormack

Pierre Dagnelie (1933–2022) pp. 2285-2286

Geert Molenberghs

Iain David Currie (1946–2022) pp. 2287-2288

Paul Eilers and Maria Durbàn

Barry Anthony John Quirke (1941–2022) pp. 2288-2289

Tony Haws

Ole Eiler Barndorff‐Nielsen, 1935‐2022 pp. 2289-2291

Steffen Lauritzen and Michael Sørensen

Norman Richard Draper (1931—2022) pp. 2292-2294

Dennis K. J. Lin

Sir David Cox: 1924–2022 pp. 2295-2306

Anthony C. Davison, Valerie S. Isham and Nancy M. Reid

Estimation of the combined effects of ageing and seasonality on mortality risk: An application to Spain pp. 2307-2309

Jose M. Pavía and Josep Lledó

Volume 185, issue 3, 2022

A celebration of Harvey Goldstein’s lifetime contributions: Foreword pp. 747-748

James R. Carpenter

A celebration of Harvey Goldstein’s lifetime contributions: Harvey Goldstein and his time at the Institute of Child Health pp. 748-752

T. J. Cole

A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on multilevel modelling methods and applications pp. 753-758

William J. Browne

A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics pp. 758-762

George Leckie

A celebration of Harvey Goldstein’s lifetime contributions: A journey in data linkage with Harvey Goldstein pp. 763-767

Katie Harron

The future of online data collection in social surveys: Challenges, developments and applications pp. 768-772

Olga Maslovskaya, Bella Struminskaya and Gabriele Durrant

From German Internet Panel to Mannheim Corona Study: Adaptable probability‐based online panel infrastructures during the pandemic pp. 773-797

Carina Cornesse, Ulrich Krieger, Marie‐Lou Sohnius, Marina Fikel, Sabine Friedel, Tobias Rettig, Alexander Wenz, Sebastian Juhl, Roni Lehrer, Katja Möhring, Elias Naumann, Maximiliane Reifenscheid and Annelies G. Blom

Transitioning a panel survey from in‐person to predominantly web data collection: Results and lessons learned pp. 798-821

Paul P. Biemer, Kathleen Mullan Harris, Brian J. Burke, Dan Liao and Carolyn Tucker Halpern

The impact of using the Web in a mixed‐mode follow‐up of a longitudinal birth cohort study: Evidence from the National Child Development Study pp. 822-850

Alissa Goodman, Matt Brown, Richard J. Silverwood, Joseph W. Sakshaug, Lisa Calderwood, Joel Williams and George B. Ploubidis

Representativeness in six waves of CROss‐National Online Survey (CRONOS) panel pp. 851-871

Olga Maslovskaya and Peter Lugtig

Innovating the collection of open‐ended answers: The linguistic and content characteristics of written and oral answers to political attitude questions pp. 872-890

Konstantin Gavras, Jan Karem Höhne, Annelies G. Blom and Harald Schoen

Introducing Web in a mixed‐mode establishment survey: Effects on nonresponse pp. 891-915

Patrick Gleiser, Joseph W. Sakshaug, Marieke Volkert, Peter Ellguth, Susanne Kohaut and Iris Möller

Using a responsive survey design to innovate self‐administered mixed‐mode surveys pp. 916-932

Tobias Gummer, Pablo Christmann, Sascha Verhoeven and Christof Wolf

Switching from telephone to web‐first mixed‐mode data collection: Results from the Transition into Adulthood Supplement to the US Panel Study of Income Dynamics pp. 933-954

Narayan Sastry and Katherine A. McGonagle

A new experiment on the use of images to answer web survey questions pp. 955-980

Oriol J. Bosch, Melanie Revilla, Danish Daniel Qureshi and Jan Karem Höhne

Do previous survey experience and participating due to an incentive affect response quality? Evidence from the CRONOS panel pp. 981-1003

Hannah Schwarz, Melanie Revilla and Bella Struminskaya

Density‐based clustering of social networks pp. 1004-1029

Giovanna Menardi and Domenico De Stefano

Dynamic modelling of mortality via mixtures of skewed distribution functions pp. 1030-1048

Emanuele Aliverti, Stefano Mazzuco and Bruno Scarpa

A multidimensional pairwise comparison model for heterogeneous perceptions with an application to modelling the perceived truthfulness of public statements on COVID‐19 pp. 1049-1073

Qiushi Yu and Kevin M. Quinn

Transnational machine learning with screens for flagging bid‐rigging cartels pp. 1074-1114

Martin Huber, David Imhof and Rieko Ishii

Estimating individual treatment effects using non‐parametric regression models: A review pp. 1115-1149

Alberto Caron, Gianluca Baio and Ioanna Manolopoulou

Multivariate hierarchical analysis of car crashes data considering a spatial network lattice pp. 1150-1177

Andrea Gilardi, Jorge Mateu, Riccardo Borgoni and Robin Lovelace

COVID‐19 severity: A new approach to quantifying global cases and deaths pp. 1178-1215

Daniel Millimet and Christopher Parmeter

Regression discontinuity designs for time‐to‐event outcomes: An approach using accelerated failure time models pp. 1216-1246

Mariam O. Adeleke, Gianluca Baio and Aidan G. O'Keeffe

A modelling strategy to estimate conditional probabilities of African origins: The collapse of the Oyo Empire and the transatlantic slave trade, 1817–1836 pp. 1247-1270

Ashton Wiens, Henry B. Lovejoy, Zachary Mullen and Eric A. Vance

Accounting for spatial confounding in epidemiological studies with individual‐level exposures: An exposure‐penalized spline approach pp. 1271-1293

Jennifer F. Bobb, Maricela F. Cruz, Stephen J. Mooney, Adam Drewnowski, David Arterburn and Andrea J. Cook

The Helsinki bike‐sharing system—Insights gained from a spatiotemporal functional model pp. 1294-1318

Andreas Piter, Philipp Otto and Hamza Alkhatib

The effect of epidemic outbreak on healthcare usage: Lessons from the 2015 Middle East respiratory syndrome outbreak in South Korea pp. 1319-1343

Jinhwan Park, Duk Bin Jun and Sungho Park

Life‐course perspective on personality traits and fertility with sequence analysis pp. 1344-1369

Letizia Mencarini, Raffaella Piccarreta and Marco Le Moglie

Does stop and search reduce crime? Evidence from street‐level data and a surge in operations following a high‐profile crime pp. 1370-1397

Nils Braakmann

An one‐factor copula mixed model for joint meta‐analysis of multiple diagnostic tests pp. 1398-1423

Aristidis K. Nikoloulopoulos

Nonlinear modal regression for dependent data with application for predicting COVID‐19 pp. 1424-1453

Aman Ullah, Tao Wang and Weixin Yao

G. Barrie Wetherill (1932–2022) pp. 1454-1455

Shirley Coleman

Niels Keiding (1944–2022) pp. 1456-1457

Per Kragh Andersen

Statistical issues in drug development pp. 1459-1459

Amit K. Chowdhry

Statistical learning for big dependent data pp. 1460-1460

María Dolores Ugarte

Practical statistics for nursing and health care pp. 1461-1461

Md. Moyazzem Hossain

Speaking against number: Heidegger, language and the politics of calculation pp. 1462-1462

Dawn Holmes

Statistical thinking from scratch: A primer for scientists pp. 1463-1463

Peter Cahusac

Explanatory model analysis: Explore, explain, and examine predictive models pp. 1464-1464

Simon French

Correction of Billé and Rogna (2021) pp. 1465-1468

Anna Gloria Billé and Marco Rogna

Volume 185, issue 2, 2022

A decision support system for addressing food security in the United Kingdom pp. 447-470

Martine J. Barons, Thais C. O. Fonseca, Andy Davis and Jim Q. Smith

Estimation of the combined effects of ageing and seasonality on mortality risk: An application to Spain pp. 471-497

Jose M. Pavía and Josep Lledó

Quantifying domestic violence in times of crisis: An internet search activity‐based measure for the COVID‐19 pandemic pp. 498-518

Dan Anderberg, Helmut Rainer and Fabian Siuda

Pairwise comparisons as a scale development tool for composite measures pp. 519-542

Ginevra Floridi and Benjamin E. Lauderdale

Asymptotic theory of principal component analysis for time series data with cautionary comments pp. 543-565

Xinyu Zhang and Howell Tong

Comparing the real‐world performance of exponential‐family random graph models and latent order logistic models for social network analysis pp. 566-587

Duncan A. Clark and Mark S. Handcock

Closer than they appear: A Bayesian perspective on individual‐level heterogeneity in risk assessment pp. 588-614

Kristian Lum, David B. Dunson and James Johndrow

A dynamic choice model to estimate the user cost of crowding with large‐scale transit data pp. 615-639

Prateek Bansal, Daniel Hörcher and Daniel J. Graham

On the reliability of multiple systems estimation for the quantification of modern slavery pp. 640-676

Olivier Binette and Rebecca C. Steorts

A unique bond: Twin bereavement and lifespan associations of identical and fraternal twins pp. 677-698

Gerard J. van den Berg and Bettina Drepper

Power law in COVID‐19 cases in China pp. 699-719

Behzod B. Ahundjanov, Sherzod Akhundjanov and Botir B. Okhunjanov

Philip M. North 1949–2021 pp. 720-721

Byron J. T. Morgan

Derek Richard Robinson 1947–2021 pp. 722-723

Charles M. Goldie

Analytic Methods in Sports – Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other pp. 724-724

Stan Yip

Signal Detection for Medical Scientists: Likelihood Ratio Based Test‐Based Methodology pp. 725-726

Anoop Chaturvedi

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R pp. 726-727

Emily Eyles

Applied univariate, bivariate, and multivariate statistics: Understanding statistics for social and natural scientists, with applications in SPSS and R pp. 727-728

Md. Moyazzem Hossain

Book review of Applied Meta‐Analysis with R and Stata pp. 728-729

Amit K. Chowdhry

Bayesian analysis of infectious diseases: COVID‐19 and beyond pp. 729-730

Li‐Pang Chen

Statistical and econometric methods for transportation data analysis pp. 731-731

Paul Hewson

Analyzing spatial models of choice and judgment pp. 732-733

Anoop Chaturvedi

Introduction to data science: Data analysis and prediction algorithms with R pp. 733-734

Li‐Pang Chen

Monitoring the health of populations by tracking disease outbreaks: Saving Humanity from the Next Plague pp. 734-735

Catherine L. Saunders

Modern data science with R pp. 735-736

Shalabh

Univariate, bivariate and multivariate statistics using R: Quantitative tools for data analysis and data science pp. 736-737

Shalabh

Meta‐analysis methods for health and experimental studies pp. 737-738

A.K. Md. Ehsanes Saleh

The uncounted pp. 739-739

Thomas King

Review of ‘A Computational Approach to Statistical Learning’ pp. 740-741

Mark P. Little

Cure models: Methods, applications and implementation pp. 741-742

Ash Bullement

Theory of ridge regression estimation with applications pp. 742-743

Shalabh

Statistical regression modeling with R pp. 743-744

Md. Moyazzem Hossain

Volume 185, issue 1, 2022

The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis pp. 3-36

Anna Gloria Billé and Marco Rogna

Pre‐apprenticeship training for young people: Estimating the marginal and average treatment effects pp. 37-60

Richard Dorsett and Lucy Stokes

Analysing cause‐specific mortality trends using compositional functional data analysis pp. 61-83

Marco Stefanucci and Stefano Mazzuco

An ensemble method for early prediction of dengue outbreak pp. 84-101

Soudeep Deb and Sougata Deb

Improved retention analysis in freemium role‐playing games by jointly modelling players’ motivation, progression and churn pp. 102-133

Bikram Karmakar, Peng Liu, Gourab Mukherjee, Hai Che and Shantanu Dutta

Estimating stochastic survey response errors using the multitrait‐multierror model pp. 134-155

Alexandru Cernat and Daniel L. Oberski

Multiple system estimation using covariates having missing values and measurement error: Estimating the size of the Māori population in New Zealand pp. 156-177

Peter G. M. van der Heijden, Maarten Cruyff, Paul A. Smith, Christine Bycroft, Patrick Graham and Nathaniel Matheson‐Dunning

Econometric modelling of carbon dioxide emissions and concentrations, ambient temperatures and ocean deoxygenation pp. 178-201

Alok Bhargava

A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales pp. 202-218

Andre Python, Andreas Bender, Marta Blangiardo, Janine B. Illian, Ying Lin, Baoli Liu, Tim C.D. Lucas, Siwei Tan, Yingying Wen, Davit Svanidze and Jianwei Yin

A new approach to the gender pay gap decomposition by economic activity pp. 219-245

María José Lombardía, Esther López‐Vizcaíno and Cristina Rueda

A hidden Markov space–time model for mapping the dynamics of global access to food pp. 246-266

Francesco Bartolucci and Alessio Farcomeni

Testing for calibration discrepancy of reported likelihood ratios in forensic science pp. 267-301

Jan Hannig and Hari Iyer

Assessing hail risk for property insurers with a dependent marked point process pp. 302-328

Peng Shi, Glenn M. Fung and Daniel Dickinson

Trustworthiness of statistical inference pp. 329-347

David J. Hand

Using maximum simulated likelihood methods to overcome left censoring: Dynamic event history models of heart attack risk in New Zealand pp. 348-376

Sanghyeok Lee and Tue Gørgens

Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising pp. 377-399

Matthew Blackwell and Anton Strezhnev

On the interplay of regional mobility, social connectedness and the spread of COVID‐19 in Germany pp. 400-424

Cornelius Fritz and Göran Kauermann

Medical Risk Prediction Models: With Ties to Machine Learning pp. 425-425

Stanley E. Lazic

Statistical Rethinking: A Bayesian Course with Examples in R and Stan pp. 426-427

Nathan Green

Review of statistics and the evaluation of evidence for forensic scientists pp. 428-429

David Banks

Evidence‐based statistics: An introduction to the evidential approach—from likelihood principle to statistical practice pp. 430-430

Zoltan Dienes

Measuring abundance pp. 431-431

Kuldeep Kumar

Statistical Analysis of Financial Data: with Examples In R pp. 432-433

Massimiliano Caporin

Peter Whittle, 1927–2021 pp. 434-437

Frank Kelly

Richard Parry‐Jones 1951‐2021 pp. 438-440

Tim Davis

John Michael (Mike) Haslam 1947–2021 pp. 441-442

Peter Capell

Corrigendum: Generalizing evidence from randomized trials using inverse probability of sampling weights pp. 443-444

Ashley L. Buchanan and Michael G. Hudgens