Journal of the Royal Statistical Society Series A
1988 - 2022
Current editor(s): A. Chevalier and L. Sharples From Royal Statistical Society Contact information at EDIRC. Bibliographic data for series maintained by Wiley Content Delivery (). Access Statistics for this journal.
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Volume 183, issue 4, 2020
- Preface to the papers on ‘Causal inference from non‐experimental studies: challenges, developments and applications’ pp. 1329-1332

- Alessandra Mattei, Bianca L. De Stavola and Fabrizia Mealli
- Using hidden information and performance level boundaries to study student–teacher assignments: implications for estimating teacher causal effects pp. 1333-1362

- J. R. Lockwood and D. McCaffrey
- Performance assessment as an application of causal inference pp. 1363-1385

- Nicholas T. Longford
- Direct and stable weight adjustment in non‐experimental studies with multivalued treatments: analysis of the effect of an earthquake on post‐traumatic stress pp. 1387-1410

- María de los Angeles Resa and José R. Zubizarreta
- Optimal matching approaches in health policy evaluations under rolling enrolment pp. 1411-1435

- Samuel D. Pimentel, Lauren Vollmer Forrow, Jonathan Gellar and Jiaqi Li
- A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes pp. 1437-1459

- Pantelis Samartsidis, Shaun R. Seaman, Silvia Montagna, André Charlett, Matthew Hickman and Daniela De Angelis
- Brand versus generic: addressing non‐adherence, secular trends and non‐overlap pp. 1461-1478

- Lamar Hunt, Irene B. Murimi, Jodi B. Segal, Marissa J. Seamans, Daniel O. Scharfstein and and Ravi Varadhan
- Causal inference with multistate models—estimands and estimators of the population attributable fraction pp. 1479-1500

- Maja von Cube, Martin Schumacher and Martin Wolkewitz
- Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units pp. 1501-1521

- Luke Keele, Steve Harris, Samuel D. Pimentel and Richard Grieve
- Instrumental variable methods using dynamic interventions pp. 1523-1551

- Jacqueline A. Mauro, Edward H. Kennedy and Daniel Nagin
- Flexible instrumental variable distributional regression pp. 1553-1574

- Guillermo Briseño Sanchez, Maike Hohberg, Andreas Groll and Thomas Kneib
- Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds pp. 1575-1593

- Pedro Saramago, Karl Claxton, Nicky J. Welton and Marta Soares
- Assessing causal effects of extra compulsory learning on college students’ academic performances pp. 1595-1614

- Federica Licari and Alessandra Mattei
- Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China's one‐child policy pp. 1615-1635

- Shuxi Zeng, Fan Li and Peng Ding
- Identification and sensitivity analysis of contagion effects in randomized placebo‐controlled trials pp. 1637-1657

- Kosuke Imai and Zhichao Jiang
- Causal inference, social networks and chain graphs pp. 1659-1676

- Elizabeth L. Ogburn, Ilya Shpitser and Youjin Lee
- Health effects of power plant emissions through ambient air quality pp. 1677-1703

- Chanmin Kim, Lucas R. F. Henneman, Christine Choirat and Corwin M. Zigler
- Examining the causal mediating role of brain pathology on the relationship between diabetes and cognitive impairment: the Cardiovascular Health Study pp. 1705-1726

- Ryan M. Andrews, Ilya Shpitser, Oscar Lopez, William T. Longstreth, Paulo H. M. Chaves, Lewis Kuller and Michelle C. Carlson
- Discovering causal structures in Bayesian Gaussian directed acyclic graph models pp. 1727-1745

- Federico Castelletti and Guido Consonni
- Causal discovery of gene regulation with incomplete data pp. 1747-1775

- Ronja Foraita, Juliane Friemel, Kathrin Günther, Thomas Behrens, Jörn Bullerdiek, Rolf Nimzyk, Wolfgang Ahrens and Vanessa Didelez
- Causes of effects via a Bayesian model selection procedure pp. 1777-1792

- Fabio Corradi and Monica Musio
- A non‐parametric projection‐based estimator for the probability of causation, with application to water sanitation in Kenya pp. 1793-1818

- Maria Cuellar and Edward H. Kennedy
- Christopher John Skinner, 1953–2020 pp. 1819-1821

- Ray Chambers, Ian Diamond, Tim Holt, Jouni Kuha, Danny Pfeffermann, Natalie Shlomo, Pedro Nascimento Silva, Paul Smith, David Steel and Fiona Steele
- Gerald Joseph Goodhardt, 1930–2020 pp. 1821-1823

- Chris Chatfield
- Willem van Zwet, 1934–2020 pp. 1823-1825

- P. J. Bickel and N. I. Fisher
- Modelling Spatial and Spatial–Temporal Data: a Bayesian Approach pp. 1828-1829

- Anoop Chaturvedi
- An Introduction to Data, Everything You Need to Know About AI: Big Data and Data Science pp. 1828-1828

- Morteza Aalabaf‐Sabaghi
- Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects pp. 1829-1830

- Gian Luca Di Tanna
- Statistical Data Analysis using SAS pp. 1829-1829

- Sebastian Dietz
Volume 183, issue 3, 2020
- Multiple‐systems analysis for the quantification of modern slavery: classical and Bayesian approaches pp. 691-736

- Bernard W. Silverman
- Gender differences in the perception of safety in public transport pp. 737-769

- Laila Ait Bihi Ouali, Daniel J. Graham, Alexander Barron and Mark Trompet
- Simple rules to guide expert classifications pp. 771-800

- Jongbin Jung, Connor Concannon, Ravi Shroff, Sharad Goel and Daniel Goldstein
- A similarity‐based approach for macroeconomic forecasting pp. 801-827

- Yiannis Dendramis, George Kapetanios and Massimiliano Marcellino
- Forecasting of cohort fertility under a hierarchical Bayesian approach pp. 829-856

- Joanne Ellison, Erengul Dodd and Jonathan J. Forster
- Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime pp. 857-882

- Francesco Finazzi
- How does temperature vary over time?: evidence on the stationary and fractal nature of temperature fluctuations pp. 883-908

- John K. Dagsvik, Mariachiara Fortuna and Sigmund Hov Moen
- Change point analysis of historical battle deaths pp. 909-933

- Brennen T. Fagan, Marina I. Knight, Niall J. MacKay and A. Jamie Wood
- Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools pp. 935-958

- Siyu Heng, Dylan S. Small and Paul R. Rosenbaum
- On quantifying expert opinion about multinomial models that contain covariates pp. 959-981

- Fadlalla G. Elfadaly and Paul H. Garthwaite
- A novel approach to latent class modelling: identifying the various types of body mass index individuals pp. 983-1004

- Sarah Brown, William Greene and Mark Harris
- Quantifying the association between discrete event time series with applications to digital forensics pp. 1005-1027

- Christopher Galbraith, Padhraic Smyth and Hal S. Stern
- A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health pp. 1029-1050

- Yajing Zhu, Fiona Steele and Irini Moustaki
- Spatial confounding in hurdle multilevel beta models: the case of the Brazilian Mathematical Olympics for Public Schools pp. 1051-1073

- João B. M. Pereira, Widemberg S. Nobre, Igor F. L. Silva and Alexandra M. Schmidt
- A placebo design to detect spillovers from an education–entertainment experiment in Uganda pp. 1075-1096

- Anna M. Wilke, Donald P. Green and Jasper Cooper
- Freight rates in downside and upside markets: pricing of own and spillover risks from other shipping segments pp. 1097-1119

- Panayiotis Theodossiou, Dimitris Tsouknidis and Christos Savva
- Selecting a scale for spatial confounding adjustment pp. 1121-1143

- Joshua P. Keller and Adam A. Szpiro
- New statistical metrics for multisite replication projects pp. 1145-1166

- Maya B. Mathur and Tyler J. VanderWeele
- Longevity forecasting by socio‐economic groups using compositional data analysis pp. 1167-1187

- S⊘ren Kjærgaard, Yunus Emre Ergemen, Marie‐Pier Bergeron‐Boucher, Jim Oeppen and Malene Kallestrup‐Lamb
- Multilevel network meta‐regression for population‐adjusted treatment comparisons pp. 1189-1210

- David M. Phillippo, Sofia Dias, A. E. Ades, Mark Belger, Alan Brnabic, Alexander Schacht, Daniel Saure, Zbigniew Kadziola and Nicky J. Welton
- Temporal disaggregation of overlapping noisy quarterly data: estimation of monthly output from UK value‐added tax data pp. 1211-1230

- Paul Labonne and Martin Weale
- Model‐based clustering and analysis of life history data pp. 1231-1251

- Marc A. Scott, Kaushik Mohan and Jacques‐Antoine Gauthier
- A causal inference framework for cancer cluster investigations using publicly available data pp. 1253-1272

- Rachel C. Nethery, Yue Yang, Anna J. Brown and Francesca Dominici
- A functional approach to small area estimation of the relative median poverty gap pp. 1273-1291

- Enrico Fabrizi, Maria Ferrante and Carlo Trivisano
- Improving external validity of epidemiologic cohort analyses: a kernel weighting approach pp. 1293-1311

- Lingxiao Wang, Barry I. Graubard, Hormuzd A. Katki and and Yan Li
Volume 183, issue 2, 2020
- Knowing the signs: a direct and generalizable motivation of two‐sided tests pp. 411-430

- Kenneth Rice, Tyler Bonnett and Chloe Krakauer
- A new standard for the analysis and design of replication studies pp. 431-448

- Leonhard Held
- Identifying the effect of public holidays on daily demand for gas pp. 471-492

- Sarah E. Heaps, Malcolm Farrow and Kevin J. Wilson
- Modelling the socio‐economic determinants of fertility: a mediation analysis using the parametric g‐formula pp. 493-513

- Maarten J. Bijlsma and Ben Wilson
- A quantitative framework to inform extrapolation decisions in children pp. 515-534

- Ian Wadsworth, Lisa V. Hampson, Thomas Jaki, Graeme J. Sills, Anthony G. Marson and Richard Appleton
- A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys pp. 535-563

- K. Shuvo Bakar, Nicholas Biddle, Philip Kokic and Huidong Jin
- The hot hand in professional darts pp. 565-580

- Marius Ötting, Roland Langrock, Christian Deutscher and Vianey Leos‐Barajas
- Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach pp. 581-605

- Man Jin, Shunan Zhao and Subal Kumbhakar
- A Bayesian parametric approach to handle missing longitudinal outcome data in trial‐based health economic evaluations pp. 607-629

- Andrea Gabrio, Michael J. Daniels and Gianluca Baio
- Inferring the outcomes of rejected loans: an application of semisupervised clustering pp. 631-654

- Zhiyong Li, Xinyi Hu, Ke Li, Fanyin Zhou and Feng Shen
- Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh pp. 655-679

- G. Vicente, T. Goicoa, P. Fernandez‐Rasines and M. D. Ugarte
- Can genetics reveal the causes and consequences of educational attainment? pp. 681-688

- Marcus Munafò, Neil M. Davies and George Davey Smith
Volume 183, issue 1, 2020
- The effect of general health checks on healthcare utilization: accounting for self‐selection bias pp. 3-36

- Sungwook Yoon, Duk Bin Jun and Sungho Park
- Improved secondary analysis of linked data: a framework and an illustration pp. 37-59

- Ray Chambers and Andrea Diniz da Silva
- A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union pp. 61-90

- Q. A. Meertens, C. G. H. Diks, H. J. van den Herik and F. W. Takes
- UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting pp. 91-119

- Gary Koop, Stuart McIntyre and James Mitchell
- Data‐driven transformations in small area estimation pp. 121-148

- Natalia Rojas‐Perilla, Sören Pannier, Timo Schmid and Nikos Tzavidis
- Tracking the evolution of literary style via Dirichlet–multinomial change point regression pp. 149-167

- Gordon J. Ross
- Spatial hedonic modelling adjusted for preferential sampling pp. 169-192

- Lucia Paci, Alan E. Gelfand, and María Asunción Beamonte, Pilar Gargallo and Manuel Salvador
- Adjusting trial results for biases in meta‐analysis: combining data‐based evidence on bias with detailed trial assessment pp. 193-209

- K. M. Rhodes, J. Savović, R. Elbers, H. E. Jones, J. P. T. Higgins, J. A. C. Sterne, N. J. Welton and R. M. Turner
- Productivity, infrastructure and urban density—an allometric comparison of three European city regions across scales pp. 211-228

- Hadi Arbabi, Martin Mayfield and Philip McCann
- Parametric modelling of M‐quantile regression coefficient functions with application to small area estimation pp. 229-250

- Paolo Frumento and Nicola Salvati
- ‘What drives commuter behaviour?': a Bayesian clustering approach for understanding opposing behaviours in social surveys pp. 251-280

- Laura C. Dawkins, Daniel B. Williamson, Stewart W. Barr and Sally R. Lampkin
- Estimation of proportions in small areas: application to the labour force using the Swiss Census Structural Survey pp. 281-310

- Isabel Molina and Ewa Strzalkowska‐Kominiak
- Regression‐with‐residuals estimation of marginal effects: a method of adjusting for treatment‐induced confounders that may also be effect modifiers pp. 311-332

- Geoffrey T. Wodtke, Zahide Alaca and Xiang Zhou
- Inclusion of time‐varying covariates in cure survival models with an application in fertility studies pp. 333-354

- Philippe Lambert and Vincent Bremhorst
- Optimally balanced Gaussian process propensity scores for estimating treatment effects pp. 355-377

- Brian G. Vegetabile, Daniel L. Gillen and Hal S. Stern
- Outcome‐dependent sampling in cluster‐correlated data settings with application to hospital profiling pp. 379-402

- Glen McGee, Jonathan Schildcrout, Sharon‐Lise Normand and Sebastien Haneuse
- Regression Analysis in Medical Research for Starters and 2nd Levelers pp. 404-404

- Kuldeep Kumar
- Foundations of Info‐metrics: Modeling, Inference, and Imperfect Information pp. 404-405

- Rosa Bernardini Papalia
- Practical R for Mass Communication and Journalism pp. 405-405

- Thomas King
- Classification, (Big) Data Analysis and Statistical Learning pp. 405-406

- Kuldeep Kumar
- Philogenetic Inference, Selection Theory, and History of Science pp. 406-407

- R Allan Reese
- A Multivariate Claim Count Model for Applications in Insurance pp. 406-406

- Morteza Aalabaf‐Sabaghi
- The Beauty of Mathematics in Computer Science pp. 407-407

- Johnny Hopkins
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