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 2021-10-01 to 2025-10-01.)
ArticleCitations
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’43
Supervised Machine Learning for Text Analysis in R36
John Michael (Mike) Haslam 1947–202128
Artificial Intelligence and Causal Inference24
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage21
Anthony (John) Fox, 1946–202419
Modelling Survival Data in Medical Research: Fourth Edition18
Auerbach et al.'s contribution to the Discussion of ‘Independent review of the UK Statistics Authority' by Lievesley18
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'17
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts17
Bias and excess variance in election polling: a not-so-hidden Markov model16
Networks with correlated edge processes15
Improving survey inference in two-phase designs using Bayesian machine learning15
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates15
Efficient statistical inference methods for assessing changes in species’ populations using citizen science data15
Impacts of innovation school system in Korea: a latent space item response model with Neyman–Scott point process15
Ursula Berger, Göran Kauermann and Helmut Küchenhoff’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al14
Ondřej Vencálek's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al14
Stephen Senn’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al14
Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’13
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation12
Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’12
Assessing Epidemic Curves for Evidence of Superspreading11
Joint modelling of national cultures accounting for within and between-country heterogeneity11
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
Network self-exciting point processes to measure health impacts of COVID-1911
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates10
Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes10
Linear Regression Models: Applications in R9
Hands-On Data Analysis in R for Finance9
Correction to: A calibrated BISG for inferring race from surname and geolocation9
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
Hengxu Liu's contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al9
Estimating SARS-CoV-2 seroprevalence9
Irons' contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al9
Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.9
Issue Information9
Tracking trend output using expectations data9
Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework9
Stuart McDonald’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al9
Paul Smith’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang8
Review of ‘Object Oriented Data Analysis’8
Jorge Mateu's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’8
Tony Dent’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley7
Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices7
Referees7
Rajendra Bhansali’s contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al7
Fertility, Economic Incentives and Individual Heterogeneity: Register Data-Based Evidence from France and Germany7
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 20217
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
Estimating excess mortality in high-income countries during the COVID-19 pandemic7
Model-based clustering for multidimensional social networks7
Issue Information7
Random Circulant Matrices7
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 20216
Author's reply to the Discussion of ‘Independent review of the UK Statistics Authority’6
Bayesian model-based outlier detection in network meta-analysis6
Instrumental variables: to strengthen or not to strengthen?6
Issue Information6
Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects capture–recapture models6
Assessments and developments in constructing a National Health Index for policy-making, in the UK6
Peter Holmes 1937–20246
Neural Forecasting of the Italian Sovereign Bond Market with Economic News6
Abdelaati Daouia and Gilles Stupfler’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’6
Authors’ reply to the Discussion of ‘Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter’5
Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening5
Analytic Methods in Sports – Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other5
Number Savvy: From the Invention of Numbers to the Future of Data5
Spatial Analysis5
John Ioannidis’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al5
Nick Andrews’ contribution to the Discussion of ‘Some statistical sspects of the Covid-19 response’ by Wood et al5
Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies5
Statistical and Econometric Methods for Transportation Data Analysis5
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
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
Big Data and Social Science Data Science Methods and Tools for Research and Practice5
Kuldeep Kumar’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’5
Norman Richard Draper (1931—2022)5
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
Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’4
(No) Spillovers in reporting domestic abuse to police4
Principles of Biostatistics4
Kevin Fong, Tim Cook and Charlotte Summers’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response' by Wood et al4
Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata that Balance Many Covariates4
Long-term trends of US county-level extreme ozone concentrations with long memory and changepoint considerations4
Tian, Meng, Zhou and Tian's Contribution to the Discussion of `Some Statistical Aspects of the Covid-19 Response' by Wood, et al4
Proposer of the vote of thanks to Nason et al. and contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations'4
Advanced Survival Models4
Matching methods for truncation by death problems4
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain4
Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy4
Multilevel longitudinal analysis of social networks4
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model4
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets: a synthetic-control approach4
Ole Eiler Barndorff-Nielsen, 1935-20224
Arun Peter Chind’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley4
Crime by the Numbers: A Criminologist’s Guide to R4
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
Are Epidemic Growth Rates More Informative than Reproduction Numbers?4
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review4
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks4
Maozai Tian’s contribution to the Discussion of the ‘Discussion meeting on the Analysis of citizen science data’3
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model3
Meta-Analysis Methods for Health and Experimental Studies3
Statistical Methods for Handling Incomplete Data3
Luke Barratt's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response‘ by Wood et al3
Estimating Regional Income Indicators under Transformations and Access to Limited Population Auxiliary Information3
Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model3
Contents of Volume 185, 20223
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions3
Policy effect evaluation under counterfactual neighbourhood intervention in the presence of spillover3
Symmetry estimating R × C vote transfer matrices from aggregate data3
A Celebration of Harvey Goldstein’s Lifetime Contributions: Memories of Working with Harvey Goldstein on Educational Research and Statistics3
Predicting cancer incidence in regions without population-based cancer registries using mortality3
Life-Course Perspective on Personality Traits and Fertility with Sequence Analysis3
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
Exploring Modeling with Data and Differential Equations Using R3
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
Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data3
Victor Richmond Jose’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response‘ by Wood et al3
Pricing in General Insurance3
A Bayesian spatial–temporal varying coefficients model for estimating excess deaths associated with respiratory infections3
Applied Statistics with R: A Practical Guide for the Life Sciences3
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 Analysis3
Nearest Neighbour Ratio Imputation with Incomplete Multinomial Outcome in Survey Sampling3
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies3
A Bayesian approach to estimate causal peer influence accounting for latent network homophily3
Dynamic Modelling of Mortality Via Mixtures of Skewed Distribution Functions3
Secure Big Data Collection and Processing: Framework, Means and Opportunities2
Allan Reese’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach2
Andrej Srakar’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’2
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
Sheila M Bird’s invited contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al2
Léo R. Belzile and Rishikesh Yadav’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’2
Causal inference over stochastic networks2
Handbook of Survival Analysis2
Statistical Inference2
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects2
Theory of Ridge Regression Estimation with Applications2
Mixture Models: Parametric, Semiparametric, and New Directions2
Proposer of the vote of thanks and contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
A Modelling Strategy to Estimate Conditional Probabilities of African Origins: The Collapse of the Oyo Empire and The Transatlantic Slave Trade, 1817–18362
Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders2
Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises2
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
Peter Whittle, 1927–20212
Rebecca Riley’s invited contribution to the Discussion of the ‘Independent review of the UK Statistics Authority’ by Lievesley2
Professor Lorenzo Pellis’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al2
Dynamic latent space relational event model2
Estimating Stochastic Survey Response Errors using the Multitrait-Multierror Model2
Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’2
Multivariate Hierarchical Analysis of Car Crashes Data Considering a Spatial Network Lattice2
Estimating racial and ethnic healthcare quality disparities using exploratory item response theory and latent class item response theory models2
Philip M. North 1949–20212
Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al2
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-192
David Vere-Jones, 1936–20242
‘Does God toss logistic coins?’ and other questions that motivate regression by composition2
Introducing Web in a Mixed-Mode Establishment Survey: Effects on Nonresponse2
The Effect of Epidemic Outbreak on Healthcare Usage: Lessons from the 2015 Middle East Respiratory Syndrome Outbreak in South Korea2
A groupwise approach for inferring heterogeneous treatment effects in causal inference2
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’2
Analysis of Clustered Survey Data Based on Two-Stage Informative Sampling and Associated Two-Level Models2
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models2
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables2
Integrating testing volume into bandit algorithms for infectious disease surveillance2
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage1
Time Series Modelling of Repeated Survey Data for Estimation of Finite Population Parameters1
Medical Risk Prediction Models: With Ties to Machine Learning1
Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’1
Kuldeep Kumar's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’1
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
Unveiling Venice’s hotels competition networks from dynamic pricing digital market1
Estimating corporate investment efficiency with bias correction: a semiparametric panel model approach1
Heterogeneity in the US gender wage gap1
Replication and Evidence Factors in Observational Studies1
Geert Molenberghs' contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al1
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
Latent class multi-state quantile regression with a cure fraction: application to jail recidivism in the U.S.1
Peter Goldblatt’s invited contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al1
Fifty years with the Cox proportional hazards model: history, influence, and future1
Modelling emergency disaster mortality around the world: a network-based distributional inference approach1
Leonhard Held and Maria Bekker-Nielsen Dunbar’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al1
Calyampudi Radhakrishna (CR) Rao 1920–20231
Bayesian Modeling and Computation in Python Learning1
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths1
Data Science in Practice1
Theo Gasser, 1941–20231
1
Handbook of Regression Modeling in People Analytics, With Examples in R and Python1
Frank Duckworth, 1939–20241
Weighting, Informativeness and Causal Inference, with an Application to Rainfall Enhancement1
Subjective Well-Being and Social Media1
Bayesian multistate modelling of incomplete chronic disease burden data1
Zero-inflated stochastic block modelling of efficiency-security trade-offs in weighted criminal networks1
Demand Forecasting for Executives and Professionals1
David Hand’s contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al1
Small area estimation under a spatially correlated multivariate area-level model1
Security Risk Models for Cyber Insurance1
Administrative border effects in COVID-19 related mortality1
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
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
Dennis J. Trewin’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley1
A multivariate dynamic statistical model of the global carbon budget 1959–20201
Spatio-temporal quasi-experimental methods for rare disease outcomes: the impact of reformulated gasoline on childhood haematologic cancer1
G. Barrie Wetherill (1932–2022)1
It’s about time: revisiting reciprocity and triadicity in relational event analysis1
Sample Sizes for Clinical Trials1
A comparison of exposure uncertainty propagation models used in epidemiological studies1
A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints1
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
Referees1
Thanks to RSS referees 20231
Xiaoping Shi, Yue Zhang and Yucheng Dong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’1
Protecting Your Privacy in a Data-Driven World1
ANOVA and Mixed Models: A Short Introduction Using R1
Innovating the Collection of Open-Ended Answers: The Linguistic and Content Characteristics of Written and Oral Answers to Political Attitude Questions1
Paul Allin’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang1
Probability, Choice and Reason1
A Celebration of Harvey Goldstein’s Lifetime Contributions: Foreword1
Statistical Prediction and Machine Learning1
The future of economic statistics1
Next-Generation Sequencing Data Analysis1
A Diagnostic Framework for the Bradley–Terry Model1
Measuring top income shares in the UK1
Ian Pieter Schagen 1947–20251
Density-Based Clustering of Social Networks1
Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools1
Synthesis estimators for transportability with positivity violations by a continuous covariate1
Issue Information1
A Decision Support System for Addressing Food Security in the United Kingdom1
A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses1
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