Journal of the Royal Statistical Society Series A

1988 - 2022

Current editor(s): A. Chevalier and L. Sharples

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Volume 184, issue 4, 2021

Data science for society: Challenges, developments and applications pp. 1159-1160

Pia Hardelid, Peter Christen, Elizabeth Williamson, Katie Harron and Bianca L. De Stavola

Enhancing (publications on) data quality: Deeper data minding and fuller data confession pp. 1161-1175

Xiao‐Li Meng

Functional ANOVA modelling of pedestrian counts on streets in three European cities pp. 1176-1198

David Bolin, Vilhelm Verendel, Meta Berghauser Pont, Ioanna Stavroulaki, Oscar Ivarsson and Erik Håkansson

Personalised need of care in an ageing society: The making of a prediction tool based on register data pp. 1199-1219

Marvin N. Wright, Sasmita Kusumastuti, Laust H. Mortensen, Rudi G. J. Westendorp and Thomas A. Gerds

Spatio‐temporal mixed membership models for criminal activity pp. 1220-1244

Seppo Virtanen and Mark Girolami

Using text mining to track outbreak trends in global surveillance of emerging diseases: ProMED‐mail pp. 1245-1259

Jingxian You, Paul Expert and Céire Costelloe

Estimation of the prevalence of chronic kidney disease in people with diabetes by combining information from multiple routine data collections pp. 1260-1282

Angelika Geroldinger, Milan Hronsky, Florian Endel, Gottfried Endel, Rainer Oberbauer and Georg Heinze

Filtering the intensity of public concern from social media count data with jumps pp. 1283-1302

Matteo Iacopini and Carlo Santagiustina

A computationally efficient, high‐dimensional multiple changepoint procedure with application to global terrorism incidence pp. 1303-1325

S. O. Tickle, I. A. Eckley and P. Fearnhead

Machine learning approaches to identify thresholds in a heat‐health warning system context pp. 1326-1346

Pierre Masselot, Fateh Chebana, Céline Campagna, Éric Lavigne, Taha B.M.J. Ouarda and Pierre Gosselin

Modified Poisson regression analysis of grouped and right‐censored counts pp. 1347-1367

Qiang Fu, Tian‐Yi Zhou and Xin Guo

Two‐phase sampling designs for data validation in settings with covariate measurement error and continuous outcome pp. 1368-1389

Gustavo Amorim, Ran Tao, Sarah Lotspeich, Pamela A. Shaw, Thomas Lumley and Bryan E. Shepherd

Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition pp. 1390-1413

Tugba Akkaya Hocagil, Richard J. Cook, Sandra W. Jacobson, Joseph L. Jacobson and Louise M. Ryan

Clustering longitudinal life‐course sequences using mixtures of exponential‐distance models pp. 1414-1451

Keefe Murphy, T. Brendan Murphy, Raffaella Piccarreta and I. Claire Gormley

Using linked consumer registers to estimate residential moves in the United Kingdom pp. 1452-1474

Justin T. van Dijk, Guy Lansley and Paul A. Longley

Analysis of longitudinal advice‐seeking networks following implementation of high stakes testing pp. 1475-1500

Samrachana Adhikari, Tracy Sweet and Brian Junker

Domain prediction with grouped income data pp. 1501-1523

Paul Walter, Marcus Groß, Timo Schmid and Nikos Tzavidis

Covariate selection for generalizing experimental results: Application to a large‐scale development program in Uganda pp. 1524-1548

Naoki Egami and Erin Hartman

Social and material vulnerability in the face of seismic hazard: An analysis of the Italian case pp. 1549-1577

Oleksandr Didkovskyi, Giovanni Azzone, Alessandra Menafoglio and Piercesare Secchi

Partially pooled propensity score models for average treatment effect estimation with multilevel data pp. 1578-1598

Youjin Lee, Trang Q. Nguyen and Elizabeth A. Stuart

Roger David Elston (1928–2021) pp. 1599-1600

Eric Page and David A. Elston

William Gilmore Stevenson (1943–2021) pp. 1600-1601

John Mallon, Vivienne Stevenson and Gilbert MacKenzie

Kenneth (Ken) Ronald Walter Brewer (1931–2021) pp. 1602-1604

Stephen Horn, Raymond Chambers and William Gross

David Wishart (1943–2020) pp. 1604-1605

Sarah Barker and Shirley Coleman

Lars Lyberg, (1944–2021) pp. 1606-1607

Dennis Trewin

A Computational Approach to Statistical Learning pp. 1608-1608

Stanley E. Lazic

Bayesian cost‐effectiveness analysis of medical treatments pp. 1608-1609

Min‐Hua Jen

Probability Companion for Engineering and Computer Science pp. 1609-1610

Sebastian Dietz

Advanced Statistics with Applications in R pp. 1610-1611

Adrian Gepp

Statistics for Data Science and Policy Analysis pp. 1612-1612

Md Moyazzem Hossain

R Markdown Cookbook pp. 1613-1613

Shalabh

Volume 184, issue 3, 2021

Removing the influence of group variables in high‐dimensional predictive modelling pp. 791-811

Emanuele Aliverti, Kristian Lum, James E. Johndrow and David B. Dunson

Pension eligibility rules and the local causal effect of retirement on cognitive functioning pp. 812-841

Eduardo Fé

Modelling non‐linear age‐period‐cohort effects and covariates, with an application to English obesity 2001–2014 pp. 842-867

Zoë Fannon, Christiaan Monden and Bent Nielsen

The design of replication studies pp. 868-886

Larry V. Hedges and Jacob M. Schauer

A simple framework to identify optimal cost‐effective risk thresholds for a single screen: Comparison to Decision Curve Analysis pp. 887-903

Hormuzd A. Katki and Ionut Bebu

When zero may not be zero: A cautionary note on the use of inter‐rater reliability in evaluating grant peer review pp. 904-919

Elena A. Erosheva, Patrícia Martinková and Carole J. Lee

A comparison of prior elicitation aggregation using the classical method and SHELF pp. 920-940

Cameron J. Williams, Kevin J. Wilson and Nina Wilson

Combining non‐probability and probability survey samples through mass imputation pp. 941-963

Jae Kwang Kim, Seho Park, Yilin Chen and Changbao Wu

Inequality measurement with grouped data: Parametric and non‐parametric methods pp. 964-984

Vanesa Jorda, José María Sarabia and Markus Jäntti

Multilevel time series modelling of mobility trends in the Netherlands for small domains pp. 985-1007

Harm Jan Boonstra, Jan van den Brakel and Sumonkanti Das

Linearization and variance estimation of the Bonferroni inequality index pp. 1008-1029

Ziqing Dong, Yves Tillé, Giovanni M. Giorgi and Alessio Guandalini

Estimation of causal effects with small data in the presence of trapdoor variables pp. 1030-1051

Jouni Helske, Santtu Tikka and Juha Karvanen

The effects of question, respondent and interviewer characteristics on two types of item nonresponse pp. 1052-1069

Henning Silber, Joss Roßmann, Tobias Gummer, Stefan Zins and Kai Willem Weyandt

Long‐term spatial modelling for characteristics of extreme heat events pp. 1070-1092

Erin M. Schliep, Alan E. Gelfand, Jesús Abaurrea, Jesús Asín, María A. Beamonte and Ana C. Cebrián

Generating Poisson‐distributed differentially private synthetic data pp. 1093-1108

Harrison Quick

Predicting individual effects in fixed effects panel probit models pp. 1109-1145

Johannes Kunz, Kevin Staub and Rainer Winkelmann

John Haigh 1941–2021 pp. 1146-1148

Charles M. Goldie

Michael Hills (7 June 1934–7 January 2021) pp. 1149-1149

Bianca L. De Stavola

Interactive Web‐Based Data Visualization with R, plotly, and shiny pp. 1150-1150

Shalabh

The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science pp. 1151-1152

Simon French

Dark data: Why what you don’t know matters pp. 1153-1153

Ian Jolliffe

Analyzing high‐dimensional gene expression and DNA methylation data with R pp. 1154-1154

Anoop Chaturvedi

Statistical inference via data science pp. 1155-1155

Shalabh

Volume 184, issue 2, 2021

Testing by betting: A strategy for statistical and scientific communication pp. 407-431

Glenn Shafer

Proposer of the vote of thanks to Glenn Shafer and contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ pp. 432-433

Philip Dawid

Seconder of the vote of thanks to Glenn Shafer and contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ pp. 434-435

Frank P. A. Coolen

Harry Crane’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 436-437

Harry Crane

Barbara Osimani’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 437-438

Barbara Osimani

Aaditya Ramdas’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 438-440

Aaditya Ramdas

Peter D. Grünwald’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 440-441

Peter D. Grünwald

Xiao‐Li Meng’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 442-443

Xiao‐Li Meng

Arthur Paul Pedersen’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 443-444

Arthur Paul Pedersen

Vladimir Vovk’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 445-446

Vladimir Vovk

Christian Hennig’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 446-447

Christian Hennig

A distillation of the live chat during the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 448-448

Paul A. Smith

Christine P. Chai’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 449-450

Christine P. Chai

Sander Greenland’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 450-451

Sander Greenland

Chloe Krakauer and Kenneth Rice’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 452-453

Chloe Krakauer and Kenneth Rice

Kuldeep Kumar’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 453-454

Kuldeep Kumar

Tze Leung Lai and Anna Choi's contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 454-455

Tze Leung Lai and Anna Choi

Nick Longford’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 455-456

Nick Longford

Ryan Martin’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 456-457

Ryan Martin

Jorge Mateu’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 458-458

Jorge Mateu

Stephen Senn’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 459-460

Stephen Senn

Judith ter Schure’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 460-461

Judith ter Schure

Paul Vos’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 461-462

Paul Vos

Ruodu Wang’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 463-464

Ruodu Wang

Priyantha Wijayatunga’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 465-466

Priyantha Wijayatunga

Author's reply to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer pp. 466-478

Glenn Shafer

Sample size determination for risk‐based tax auditing pp. 479-493

Petros Dellaportas, Evangelos Ioannidis and Christos Kotsogiannis

Estimating event‐rates from unreliable historical records pp. 494-503

Jonathan Rougier

Beyond generalization of the ATE: Designing randomized trials to understand treatment effect heterogeneity pp. 504-521

Elizabeth Tipton

Linkage‐data linear regression pp. 522-547

Li‐Chun Zhang and Tiziana Tuoto

Quantifying longevity gaps using micro‐level lifetime data pp. 548-570

Frank van Berkum, Katrien Antonio and Michel Vellekoop

Proxy expenditure weights for Consumer Price Index: Audit sampling inference for big‐data statistics pp. 571-588

Li‐Chun Zhang

Consistent aggregation with superlative and other price indices pp. 589-615

Ludwig von Auer and Jochen Wengenroth

A seasonal dynamic measurement model for summer learning loss pp. 616-642

Daniel McNeish and Denis Dumas

Leveraging auxiliary information on marginal distributions in nonignorable models for item and unit nonresponse pp. 643-662

Olanrewaju Akande, Gabriel Madson, D. Sunshine Hillygus and Jerome P. Reiter

Exploiting new forms of data to study the private rented sector: Strengths and limitations of a database of rental listings pp. 663-682

Mark Livingston, Francesca Pannullo, Adrian W. Bowman, E. Marian Scott and Nick Bailey

Nowcasting monthly GDP with big data: A model averaging approach pp. 683-706

Tommaso Proietti and Alessandro Giovannelli

The effect of the Brexit referendum result on subjective well‐being pp. 707-731

Georgios Kavetsos, Ichiro Kawachi, Ilias Kyriopoulos and Sotiris Vandoros

Missing, presumed different: Quantifying the risk of attrition bias in education evaluations pp. 732-760

Ben Weidmann and Luke Miratrix

Health aid, governance and infant mortality pp. 761-783

Chris Doucouliagos, Jack Hennessy and Debdulal Mallick

Tobias (Toby) Lewis 1918‐2020 pp. 784-786

Vic Barnett and Kevin McConway

Handbook of Mixture Analysis pp. 787-788

Virgilio Gómez‐Rubio

Volume 184, issue 1, 2021

Dynamic survival prediction combining landmarking with a machine learning ensemble: Methodology and empirical comparison pp. 3-30

Kamaryn T. Tanner, Linda D. Sharples, Rhian M. Daniel and Ruth H. Keogh

Specification and testing of hierarchical ordered response models with anchoring vignettes pp. 31-64

William H. Greene, Mark Harris, Rachel J. Knott and Nigel Rice

Estimating causal moderation effects with randomized treatments and non‐randomized moderators pp. 65-86

Kirk Bansak

The effects of health on the extensive and intensive margins of labour supply pp. 87-117

Lixin Cai

Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting pp. 118-149

Bent Jesper Christensen, Nabanita Datta Gupta and Paolo Santucci de Magistris

Interviewer effects and the measurement of financial literacy pp. 150-178

Thomas Crossley, Tobias Schmidt, Panagiota Tzamourani and Joachim K. Winter

A Bayesian structural time series analysis of the effect of basic income on crime: Evidence from the Alaska Permanent Fund pp. 179-200

Richard Dorsett

A dynamic separable network model with actor heterogeneity: An application to global weapons transfers pp. 201-226

Michael Lebacher, Paul W. Thurner and Göran Kauermann

Did you conduct a sensitivity analysis? A new weighting‐based approach for evaluations of the average treatment effect for the treated pp. 227-254

Guanglei Hong, Fan Yang and Xu Qin

Synthetic microdata for establishment surveys under informative sampling pp. 255-281

Hang J. Kim, Jörg Drechsler and Katherine J. Thompson

A double machine learning approach to estimate the effects of musical practice on student’s skills pp. 282-300

Michael Knaus

Do coefficients of variation of response propensities approximate non‐response biases during survey data collection? pp. 301-323

Jamie C. Moore, Gabriele B. Durrant and Peter W. F. Smith

A dynamic factor model approach to incorporate Big Data in state space models for official statistics pp. 324-353

Caterina Schiavoni, Franz Palm, Stephan Smeekes and Jan van den Brakel

On probability distributions of the time deviation law of container liner ships under interference uncertainty pp. 354-367

Yunting Song and Nuo Wang

Ranking, and other properties, of elite swimmers using extreme value theory pp. 368-395

Harry Spearing, Jonathan Tawn, David Irons, Tim Paulden and Grace Bennett

Mervyn Stone, 1932–2020 pp. 396-398

Rex Galbraith

Flavia Jolliffe 1942–2020 pp. 398-399

Gerald Goodall

Time series clustering and classification pp. 400-400

Kuldeep Kumar

R Visualizations – Derive Meaning from Data pp. 401-402

Sebastian Dietz

Statistics and Health Care Fraud: How to Save Billions pp. 401-401

Kuldeep Kumar

Handbook of Financial Risk Management pp. 402-403

Sebastian Dietz