Journal of the Royal Statistical Society Series A-Statistics in Societ

Papers
(The TQCC of Journal of the Royal Statistical Society Series A-Statistics in Societ is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-07-01 to 2025-07-01.)
ArticleCitations
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’36
John Michael (Mike) Haslam 1947–202134
Supervised Machine Learning for Text Analysis in R34
Artificial Intelligence and Causal Inference21
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage21
Anthony (John) Fox, 1946–202420
Modelling Survival Data in Medical Research: Fourth Edition17
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates17
Impacts of innovation school system in Korea: a latent space item response model with Neyman–Scott point process17
Extreme-value modelling of migratory bird arrival dates: Insights from citizen science data17
John Dunne and Li-Chun Zhang's reply to the Discussion of ‘A system of population estimates compiled from administrative data only'16
Auerbach et al.'s contribution to the Discussion of ‘Independent review of the UK Statistics Authority' by Lievesley16
Bias and excess variance in election polling: a not-so-hidden Markov model16
Efficient statistical inference methods for assessing changes in species’ populations using citizen science data14
Stephen Senn’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al14
Networks with correlated edge processes14
Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’13
Joint modelling of national cultures accounting for within and between-country heterogeneity13
Ursula Berger, Göran Kauermann and Helmut Küchenhoff’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al13
Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’13
Network self-exciting point processes to measure health impacts of COVID-1912
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation12
Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes11
Maozai Tian's Contribution to the Discussion of ‘Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter’ by Cork, et al11
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates11
Assessing Epidemic Curves for Evidence of Superspreading11
Estimating SARS-CoV-2 seroprevalence10
Multiple System Estimation using Covariates having Missing Values and Measurement Error: Estimating the Size of the Māori Population in New Zealand10
Issue Information10
Paul Smith’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang9
Review of ‘Object Oriented Data Analysis’9
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models9
Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices9
Correction to: A calibrated BISG for inferring race from surname and geolocation9
Jorge Mateu's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’9
Linear Regression Models: Applications in R9
Tracking trend output using expectations data9
Model-based clustering for multidimensional social networks9
Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework9
Proposer of the vote of thanks to Cork et al. and contribution to the Discussion of ‘Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter'9
Estimating excess mortality in high-income countries during the COVID-19 pandemic8
Irons' contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al8
Random Circulant Matrices8
Fertility, Economic Incentives and Individual Heterogeneity: Register Data-Based Evidence from France and Germany8
Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.8
Stuart McDonald’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al8
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 20218
Referees8
Tony Dent’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley8
Hands-On Data Analysis in R for Finance8
Issue Information8
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 20217
Author's reply to the Discussion of ‘Independent review of the UK Statistics Authority’7
Kuldeep Kumar’s contribution to the Discussion of the “Discussion Meeting on the Analysis of citizen science data”7
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 20217
Abdelaati Daouia and Gilles Stupfler’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’7
Neural Forecasting of the Italian Sovereign Bond Market with Economic News7
Peter Holmes 1937–20247
Issue Information7
Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects capture–recapture models7
Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies6
David Wishart (1943–2020)6
Assessments and developments in constructing a National Health Index for policy-making, in the UK6
Bayesian model-based outlier detection in network meta-analysis6
Statistical and Econometric Methods for Transportation Data Analysis6
Instrumental variables: to strengthen or not to strengthen?6
Number Savvy: From the Invention of Numbers to the Future of Data6
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets: a synthetic-control approach5
Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy5
Norman Richard Draper (1931—2022)5
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model5
Authors’ reply to the Discussion of ‘Frequentist Prediction Sets for Species Abundance using Indirect Information’ at the ‘Discussion Meeting on the Analysis of citizen science data’5
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks5
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review5
Analytic Methods in Sports – Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other5
Big Data and Social Science Data Science Methods and Tools for Research and Practice5
Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata that Balance Many Covariates5
Are Epidemic Growth Rates More Informative than Reproduction Numbers?5
John Ioannidis’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al5
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 COV5
Spatial Analysis5
Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening5
Authors’ reply to the Discussion of ‘Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter’5
Maozai Tian’s Contribution to the Discussion of the ‘Discussion Meeting on the Analysis of Citizen Science Data’4
Switching from Telephone to Web-First Mixed-Mode Data Collection: Results from The Transition into Adulthood Supplement to the US Panel Study of Income Dynamics4
Machine Learning Approaches to Identify Thresholds in a Heat-Health Warning System Context4
Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’4
Principles of Biostatistics4
Ole Eiler Barndorff-Nielsen, 1935-20224
Policy effect evaluation under counterfactual neighbourhood intervention in the presence of spillover4
Dynamic Modelling of Mortality Via Mixtures of Skewed Distribution Functions4
Multilevel longitudinal analysis of social networks4
A Bayesian spatial–temporal varying coefficients model for estimating excess deaths associated with respiratory infections4
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain4
Crime by the Numbers: A Criminologist’s Guide to R4
Arun Peter Chind’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley4
Matching methods for truncation by death problems4
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 20214
Bayesian Cost-Effectiveness Analysis of Medical Treatments4
(No) Spillovers in reporting domestic abuse to police4
Advanced Survival Models4
Mixture Models: Parametric, Semiparametric, and New Directions3
Estimating racial and ethnic healthcare quality disparities using exploratory item response theory and latent class item response theory models3
Life-Course Perspective on Personality Traits and Fertility with Sequence Analysis3
Secure Big Data Collection and Processing: Framework, Means and Opportunities3
Embrace the noise: it is ok to ignore measurement error in a covariate, sometimes3
Sheila M. Bird’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley3
Predicting cancer incidence in regions without population-based cancer registries using mortality3
Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation3
Victor Richmond Jose’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response‘ by Wood et al3
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions3
Integrating testing volume into bandit algorithms for infectious disease surveillance3
Symmetry estimating R × C vote transfer matrices from aggregate data3
Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’3
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables3
Heejong Bong, Valerie Ventura and Larry Wasserman's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’3
Multivariate Analysis3
Nearest Neighbour Ratio Imputation with Incomplete Multinomial Outcome in Survey Sampling3
Exploring Modeling with Data and Differential Equations Using R3
Statistical Methods for Handling Incomplete Data3
Contents of Volume 185, 20223
Pricing in General Insurance3
A Celebration of Harvey Goldstein’s Lifetime Contributions: Memories of Working with Harvey Goldstein on Educational Research and Statistics3
Theory of Ridge Regression Estimation with Applications3
Philip M. North 1949–20213
The Impact of Using the Web in a Mixed-Mode Follow-up of a Longitudinal Birth Cohort Study: Evidence from the National Child Development Study3
Multivariate Hierarchical Analysis of Car Crashes Data Considering a Spatial Network Lattice3
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies3
Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model3
Estimating Regional Income Indicators under Transformations and Access to Limited Population Auxiliary Information3
Applied Statistics with R: A Practical Guide for the Life Sciences3
Meta-Analysis Methods for Health and Experimental Studies3
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 20213
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model3
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 20212
Paul Allin’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang2
Zero-inflated stochastic block modelling of efficiency-security trade-offs in weighted criminal networks2
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models2
Issue Information2
Sheila M Bird’s invited contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al2
Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al2
Peng Ding's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment’ by Imai et al.2
A groupwise approach for inferring heterogeneous treatment effects in causal inference2
Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises2
Causal inference over stochastic networks2
Introducing Web in a Mixed-Mode Establishment Survey: Effects on Nonresponse2
Léo R. Belzile and Rishikesh Yadav’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
Andrej Srakar’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
Innovating the Collection of Open-Ended Answers: The Linguistic and Content Characteristics of Written and Oral Answers to Political Attitude Questions2
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage2
Handbook of Regression Modeling in People Analytics, With Examples in R and Python2
Rebecca Riley’s invited contribution to the Discussion of the ‘Independent review of the UK Statistics Authority’ by Lievesley2
Medical Risk Prediction Models: With Ties to Machine Learning2
Peter Whittle, 1927–20212
Xiaoping Shi, Yue Zhang and Yucheng Dong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’2
David Vere-Jones, 1936–20242
Estimating Stochastic Survey Response Errors using the Multitrait-Multierror Model2
Weighting, Informativeness and Causal Inference, with an Application to Rainfall Enhancement2
Proposer of the vote of thanks and contribution to the Discussion of the “Discussion Meeting on the Analysis of citizen science data”2
Dynamic latent space relational event model2
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects2
‘Does God toss logistic coins?’ and other questions that motivate regression by composition2
Kuldeep Kumar's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’2
A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints2
Pre-Apprenticeship Training for Young People: Estimating the Marginal and Average Treatment Effects2
Referees2
R Markdown Cookbook2
It’s about time: revisiting reciprocity and triadicity in relational event analysis2
The Effect of Epidemic Outbreak on Healthcare Usage: Lessons from the 2015 Middle East Respiratory Syndrome Outbreak in South Korea2
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-192
Bayesian multistate modelling of incomplete chronic disease burden data2
A Modelling Strategy to Estimate Conditional Probabilities of African Origins: The Collapse of the Oyo Empire and The Transatlantic Slave Trade, 1817–18362
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach2
Analysis of Clustered Survey Data Based on Two-Stage Informative Sampling and Associated Two-Level Models2
Allan Reese’s contribution to the Discussion of the “Discussion Meeting on the Analysis of citizen science data”2
Handbook of Survival Analysis2
Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders2
Sample Sizes for Clinical Trials1
A Computational Approach to Statistical Learning1
Fifty years with the Cox proportional hazards model: history, influence, and future1
Geert Molenberghs' contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al1
Bayesian Modeling and Computation in Python Learning1
A comparison of exposure uncertainty propagation models used in epidemiological studies1
Data Science in Practice1
A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses1
Theo Gasser, 1941–20231
Statistical Prediction and Machine Learning1
Demand Forecasting for Executives and Professionals1
Small area estimation under a spatially correlated multivariate area-level model1
1
Frank Duckworth, 1939–20241
Power Law in COVID-19 Cases in China1
Spatio-temporal quasi-experimental methods for rare disease outcomes: the impact of reformulated gasoline on childhood haematologic cancer1
Analysing Establishment Survey Non-Response Using Administrative Data and Machine Learning1
Subjective Well-Being and Social Media1
Innovative Methods for Rare Disease Drug Development1
Replication and Evidence Factors in Observational Studies1
Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’1
Statistical Issues in Drug Development1
ANOVA and Mixed Models: A Short Introduction Using R1
G. Barrie Wetherill (1932–2022)1
A Diagnostic Framework for the Bradley–Terry Model1
Calyampudi Radhakrishna (CR) Rao 1920–20231
Lorenzo Pellis’ Discussion Contribution to Papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 9 June 20211
Learning Microeconometrics with R1
Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools1
Domain Prediction with Grouped Income Data1
Unveiling Venice’s hotels competition networks from dynamic pricing digital market1
Next-Generation Sequencing Data Analysis1
Synthesis estimators for transportability with positivity violations by a continuous covariate1
Eugenie Hunsicker's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment’ by Imai et al.1
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths1
1
Thanks to RSS referees 20231
Credit Line Exposure at Default Modelling Using Bayesian Mixed Effect Quantile Regression1
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 B1
Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model1
The future of economic statistics1
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Statistical Aspects of the Covid-19 Pandemic’1
Security Risk Models for Cyber Insurance1
Heterogeneity in the US gender wage gap1
Data Science for Society: Challenges, Developments and Applications1
Dennis J. Trewin’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley1
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner’s Guide to Advanced Data Analysis1
Filtering the Intensity of Public Concern from Social Media Count Data with Jumps1
Seconder of the vote of thanks to Dunne and Zhang and contribution to the Discussion of ‘A system of population estimates compiled from administrative data only'1
A Celebration of Harvey Goldstein’s Lifetime Contributions: Foreword1
Administrative border effects in COVID-19 related mortality1
A Decision Support System for Addressing Food Security in the United Kingdom1
Measuring top income shares in the UK1
Priyantha Wijayatunga's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to the pretrial safety assessment’ by Imai et al.1
A multivariate dynamic statistical model of the global carbon budget 1959–20201
Christine P. Chai’s contribution to the discussion of “A system of population estimates compiled from administrative data only” by Dunne and Zhang1
Density-Based Clustering of Social Networks1
Time Series Modelling of Repeated Survey Data for Estimation of Finite Population Parameters1
A Bayesian approach to model local and temporal heterogeneity in repeated cross-sectional health surveys1
Issue Information1
A Bayesian model of later life mortality trends and implications for longevity1
Protecting Your Privacy in a Data-Driven World1
A New Experiment on the use of Images to Answer Web Survey Questions1
Probability, Choice and Reason1
Small Data, Big Time—A Retrospect of the First Weeks of COVID-191
Ian Pieter Schagen 1947–20251
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