International Statistical Review

1997 - 2025

Current editor(s): Eugene Seneta and Kees Zeelenberg

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Volume 90, issue S1, 2022

Statistical analysis of longitudinal studies pp. S2-S16

Nan M. Laird

Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response pp. S17-S36

Sahar Z. Zangeneh and Roderick J. Little

A joint normal‐binary (probit) model pp. S37-S51

Margaux Delporte, Steffen Fieuws, Geert Molenberghs, Geert Verbeke, Simeon Situma Wanyama, Elpis Hatziagorou and Christiane De Boeck

A Legacy of EM Algorithms pp. S52-S66

Kenneth Lange and Hua Zhou

Synergy of Biostatistics and Epidemiology in Air Pollution Health Effects Studies pp. S67-S81

Douglas W. Dockery

Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs pp. S82-S95

Elena N. Naumova, Ryan B. Simpson, Bingjie Zhou and Meghan A. Hartwick

Volume 90, issue 3, 2022

Survey Weighting after Imperfect Linkage to an Administrative File pp. 419-436

James Chipperfield

Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Comparison pp. 437-467

Herbert Susmann, Monica Alexander and Leontine Alkema

Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms pp. 468-480

Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal and Jie Chen

Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials pp. 481-498

Yves Tillé

Elaboration Models with Symmetric Information Divergence pp. 499-524

Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan Soofi and Lauren Spirko‐Burns

Rethinking the Effective Sample Size pp. 525-550

Víctor Elvira, Luca Martino and Christian P. Robert

Should We Condition on the Number of Points When Modelling Spatial Point Patterns? pp. 551-562

Jesper Møller and Ninna Vihrs

Priors in Bayesian Deep Learning: A Review pp. 563-591

Vincent Fortuin

Nonparametric Testing of the Dependence Structure Among Points–Marks–Covariates in Spatial Point Patterns pp. 592-621

Jiří Dvořák, Tomáš Mrkvička, Jorge Mateu and Jonatan A. González

Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis. Ethan Bueno de Mesquita and Anthony Fowler. Princeton University Press, 2021, 400 pages, $95.00/£74.00, hardback ISBN: 978‐0‐691‐21436‐8 pp. 622-625

Gijs Dekkers

Data Visualization for Social and Policy Research: A Step‐by‐Step Approach Using R and Python. Jose Manuel Magallanes Reyes. Cambridge University Press, 2022, 292 pages, $105, hardback. ISBN: 978‐1‐108‐49433‐5 pp. 626-627

Shuangzhe Liu

Volume 90, issue 2, 2022

Variable Selection for Interval‐censored Failure Time Data pp. 193-215

Mingyue Du and Jianguo Sun

Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches pp. 216-236

John Haslett, Andrew C. Parnell, John Hinde and Rafael de Andrade Moral

Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics pp. 237-258

Janice L. Scealy, David Heslop, Jia Liu and Andrew T. A. Wood

A Review of Seasonal Adjustment Diagnostics pp. 259-284

Tucker McElroy and Anindya Roy

Estimating Monotonic Hazard Ratio Functions of Time pp. 285-305

Anthony Y.C. Kuk

Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches pp. 306-327

Gerhard Tutz and Moritz Berger

Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data pp. 328-345

Henry R. Scharf, Xinyi Lu, Perry J. Williams and Mevin B. Hooten

Nudging a Pseudo‐Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman pp. 346-373

Ray Chambers, Stephen Beare, Scott Peak and Mohammed Al‐Kalbani

White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane pp. 374-396

Eduarda T. C. Chagas, Marcelo Queiroz‐Oliveira, Osvaldo A. Rosso, Heitor S. Ramos, Cristopher G. S. Freitas and Alejandro C. Frery

Unlucky Number 13? Manipulating Evidence Subject to Snooping pp. 397-410

Uwe Hassler and Marc‐Oliver Pohle

Extreme Value Theory with Applications to Natural Hazards: From Statistical Theory to Industrial Practice. Edited by Nicolas Bousquet and Pietro Bernardara. Springer Cham, 2021, xxii + 481 pages, $199.99. ISBN: 978‐3‐030‐74941‐5 pp. 411-412

Fabrizio Durante

Game Data Science. Magy Seif El‐Nasr, Truong‐Huy D. Nguyen, Alessandro Canossa, Anders Drachen, Oxford University Press, 2022, xvi + 416 pages, $105 (hardback)/$55 (paperback) ISBN‐10: 019289787X, ISBN‐13: 978‐0192897879 (hardback), 978–0192897886 (paperback) pp. 412-414

Shuangzhe Liu

Wavelets from a Statistical Perspective. Maarten Jansen. Chapman and Hall/CRC, 2022, xix + 325 pages, $96 (hardcover). ISBN: 978‐1‐032‐20067‐5 (hardcover) pp. 414-415

Krzysztof Podgórski

Administrative Records for Survey Methodology. Edited by Asaph Young Chun, Michael D. Larsen, Gabriele Durrant, Jerome P. Reiter. John Wiley and Sons, 2021, 384 pages, $128.95 (hardcover). ISBN: 978‐1‐1192‐7204‐5 pp. 415-417

Reijo Sund

Volume 90, issue 1, 2022

An Interview with John M. Abowd pp. 1-40

Ian Schmutte and Lars Vilhuber

An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere pp. 41-61

Hemangi V. Kulkarni and Ashis SenGupta

On testing for homogeneity with zero‐inflated models through the lens of model misspecification pp. 62-77

Wei‐Wen Hsu, Nadeesha R. Mawella and David Todem

Bayesian Models Applied to Cyber Security Anomaly Detection Problems pp. 78-99

José A. Perusquía, Jim E. Griffin and Cristiano Villa

Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study pp. 100-117

Ryota Ishii, Kazushi Maruo and Masahiko Gosho

A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates pp. 118-145

Laura Freijeiro‐González, Manuel Febrero‐Bande and Wenceslao González‐Manteiga

Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts pp. 146-164

Lingxiao Wang, Barry I. Graubard, Hormuzd A. Katki and Yan Li

Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation pp. 165-183

Cinzia Carota, Maurizio Filippone and Silvia Polettini

Population Genomics with R, Emmanuel Paradis, Chapman & Hall/CRC, 2020, 394 pages, $120, hardback. ISBN: 978‐1‐1386‐0818‐4 pp. 184-185

Daniel Fischer

Fundamentals of Causal Inference with R, Babette A. Brumback, Chapman & Hall/CRC, 2021, xi + 236 pages, $69.95, hardcover. ISBN: 978‐0‐3677‐0505‐3 pp. 185-186

Debashis Ghosh

Replication and Evidence Factors in Observational Studies, Paul R. Rosenbaum, Chapman & Hall/CRC, 2021, xviii + 254 pages, $120, hardback, ISBN: 978‐036748‐388‐3 pp. 187-188

John H. Maindonald

Communicating with Data: The Art of Writing for Data Science, Deborah Nolan and Sara Stoudt, Oxford University Press, 2021, vii + 331 pages, $45.95, paperback, ISBN: 978‐0‐1988‐6275‐8 pp. 189-191

Kelly McConville

Practical Smoothing: The Joys of P‐splines, Paul H. C. Eilers and Brian D. Marx, Cambridge University Press, 2021, xii + 199 pages, $59.99, hardcover, ISBN: 978‐1‐1084‐8295‐0 pp. 191-192

Krzysztof Podgórski

Volume 89, issue 3, 2021

2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine pp. 435-446

Fabrizio Ruggeri, Henrique Bolfarine, Jorge Luis Bazán, Reinaldo B. Arellano‐Valle, Victor Hugo Lachos Davila and Mário de Castro

Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies pp. 447-480

Antonello Maruotti and Antonio Punzo

Estimating Sampling Errors in Consumer Price Indices pp. 481-504

Paul A. Smith

Spatial Regression With Partial Differential Equation Regularisation pp. 505-531

Laura M. Sangalli

Spatial Sampling for Non‐compact Patterns pp. 532-549

Linda Altieri and Daniela Cocchi

Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data pp. 550-572

Masahiko Gosho, Hisashi Noma and Kazushi Maruo

Supervised Machine Learning Techniques: An Overview with Applications to Banking pp. 573-604

Linwei Hu, Jie Chen, Joel Vaughan, Soroush Aramideh, Hanyu Yang, Kelly Wang, Agus Sudjianto and Vijayan N. Nair

A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications pp. 605-634

Brian J. Reich, Shu Yang, Yawen Guan, Andrew B. Giffin, Matthew J. Miller and Ana Rappold

A Two‐level GREG Estimator for Consistent Estimation in Household Surveys pp. 635-656

Anne Konrad, Jan Pablo Burgard and Ralf Münnich

Parameter Redundancy and Identifiability Diana Cole Chapman and Hall/CRC, 2020, xx + 252 pages, £140, hardcover ISBN: 978‐1‐498‐72087‐8 pp. 657-658

Carl M. O'Brien

Measurement Error in Longitudinal Data Alexandru Cernat and Joseph W. Sakshaug, Editors Oxford University Press, 2021, xii + 448 pages, $115.00, hardcover ISBN: 978‐0‐19‐885998‐7 pp. 658-659

Carol Joyce Blumberg

Direction Dependence in Statistical Modeling: Methods of Analysis Wolfgang Wiedermann, Daeyoung Kim, Engin A. Sungur and Alexander von Eye, Editors Wiley, 2021, 432 pages, £102, hardcover ISBN: 978‐1‐119‐52307‐9 pp. 659-660

Fabrizio Durante

Official Statistics 4.0: Verified Facts for People in the 21st Century Walter J. Radermacher Springer International Publishing, 2020, xii + 158 pages, $79.99, hardcover ISBN: 978‐3‐030‐31491‐0 pp. 660-661

Wendy L. Martinez

Exploratory Model Analysis: Explore, Explain, and Examine Predictive Models Przemyslaw Biecek and Tomasz Burzykowski Chapman & Hall/CRC, 2021, xiv + 309 pages, £63.99, hardcover ISBN: 978‐0‐3671‐3559‐1 pp. 661-663

Antony Unwin

Business Experiments with R B. D. McCullough Wiley, 2021, xxi + 361 pages, $104, Reflowable softcopy on VitalSource eText ISBN: 978‐1‐119‐68988‐1, 1119689880 pp. 663-666

Sathyanarayan Anand

Volume 89, issue 2, 2021

Foreword for the mini issue in honour of Prof C. R. Rao pp. 215-215

Scott H. Holan and Nalini Ravishanker

C. Radhakrishna Rao: A Century in Statistical Science pp. 216-236

Nandini Kannan and Debasis Kundu

Rao–Blackwellisation in the Markov Chain Monte Carlo Era pp. 237-249

Christian P. Robert and Gareth Roberts

Information Geometry pp. 250-273

Shun‐ichi Amari

Predictive Inference Based on Markov Chain Monte Carlo Output pp. 274-301

Fabian Krüger, Sebastian Lerch, Thordis Thorarinsdottir and Tilmann Gneiting

On the Effects of Spatial Confounding in Hierarchical Models pp. 302-322

Widemberg S. Nobre, Alexandra M. Schmidt and João B. M. Pereira

A multivariate Poisson model based on comonotonic shocks pp. 323-348

Juliana Schulz, Christian Genest and Mhamed Mesfioui

Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs pp. 349-366

Edgar Brunner, Frank Konietschke, Arne C. Bathke and Markus Pauly

Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests pp. 367-381

Jesse Hemerik and Jelle J. Goeman

Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference pp. 382-401

Jae‐Kwang Kim and Siu‐Ming Tam

Fisher's g Revisited pp. 402-419

Barry G. Quinn

Computational Genomics with R Altuna Akalin Chapman & Hall/CRC, 2021, xxii + 440 pages, £99.99, hardcover ISBN: 978‐1‐4987‐8185‐5 pp. 420-421

Krzysztof Podgórski

Random Forests with R Robin Genuer & Jean‐Michel Poggi Springer, 2019, x + 99 pp, £49.99, paperback. ISBN: 978‐3‐030‐56484‐1 pp. 422-423

John H. Maindonald

Handbook of Automated Scoring: Theory into Practice Duanli Yan, André A. Rupp and Peter W. Foltz Chapman & Hall/CRC, 2020, 580 pages, £120, hardcover ISBN: 978‐1‐1385‐7827‐2 pp. 423-426

Magdalen Beiting‐Parrish and Jay Verkuilen

Stochastic Models in Reliability Engineering Lirong Cui, Ilia Frenkel and Anatoly Lisniansku CRC Press, 2020, 482 pages, $190.00, hardcover ISBN: 978‐0‐367‐34585‐3 pp. 426-429

Hon Keung Tony Ng

Text Analytics: Advances and Challenges Domenica Fioredistella Iezzi, Damon Mayaffre and Michelangelo Misuraca Springer, 2020, xi + 302 pages, £95.50, eBook ISBN: 978‐3‐030‐52680‐1 pp. 429-431

Jordan Rodu

Numerical Weather Prediction and Data Assimilation Petros Katsafados, Elias Mavromatidis and Christos Spyrou Wiley, 2020, x+208 pages, $165, hardcover ISBN: 978‐1‐786‐30141‐3 pp. 431-432

Krzysztof Podgórski

A Survey of Differentially Private Regression for Clinical and Epidemiological Research pp. 433-433

Joseph Ficek, Wei Wang, Henian Chen, Getachew Dagne and Ellen Daley

Volume 89, issue 1, 2021

Enhancing Data Science Ethics Through Statistical Education and Practice pp. 1-17

Jessica Utts

Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis pp. 18-35

Gerhard Tutz

On Some Characteristics of Gaussian Covariance Functions pp. 36-53

Sandra De Iaco, Donato Posa, Claudia Cappello and Sabrina Maggio

On Two Existing Approaches to Statistical Analysis of Social Media Data pp. 54-71

Martina Patone and Li‐Chun Zhang

Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling pp. 72-107

Matthew R. Williams and Terrance D. Savitsky

Benchmarked Estimators for a Small Area Mean Under a Onefold Nested Regression Model pp. 108-131

Marius Stefan and Michael Hidiroglou

A Survey of Differentially Private Regression for Clinical and Epidemiological Research pp. 132-147

Joseph Ficek, Wei Wang, Henian Chen, Getachew Dagne and Ellen Daley

An Extensive Comparison of Some Well‐Established Value at Risk Methods pp. 148-166

Wilson Calmon, Eduardo Ferioli, Davi Lettieri, Johann Soares and Adrian Pizzinga

Shannon's Entropy and Its Generalisations Towards Statistical Inference in Last Seven Decades pp. 167-185

Asok K. Nanda and Shovan Chowdhury

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models pp. 186-206

Francis K. C. Hui, Samuel Müller and Alan H. Welsh

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences pp. 207-209

Debashis Ghosh

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare pp. 209-209

Frank Yoon

Exploratory Subgroup Analysis in Clinical Research pp. 209-210

Lili Zhao

Statistical Machine Learning: A Unified Framework pp. 210-212

Shuangzhe Liu