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 2. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’34
Supervised Machine Learning for Text Analysis in R34
John Michael (Mike) Haslam 1947–202132
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage20
Artificial Intelligence and Causal Inference20
Modelling Survival Data in Medical Research: Fourth Edition17
Anthony (John) Fox, 1946–202417
Extreme-value modelling of migratory bird arrival dates: Insights from citizen science data16
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates16
Impacts of innovation school system in Korea: a latent space item response model with Neyman–Scott point process16
John Dunne and Li-Chun Zhang's reply to the Discussion of ‘A system of population estimates compiled from administrative data only'15
Efficient statistical inference methods for assessing changes in species’ populations using citizen science data15
Auerbach et al.'s contribution to the Discussion of ‘Independent review of the UK Statistics Authority' by Lievesley15
Networks with correlated edge processes15
Bias and excess variance in election polling: a not-so-hidden Markov model14
Joint modelling of national cultures accounting for within and between-country heterogeneity13
Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’13
Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes13
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates13
Multiple System Estimation using Covariates having Missing Values and Measurement Error: Estimating the Size of the Māori Population in New Zealand13
Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’13
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
Assessing Epidemic Curves for Evidence of Superspreading11
Network self-exciting point processes to measure health impacts of COVID-1911
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation11
Linear Regression Models: Applications in R10
Issue Information10
Estimating SARS-CoV-2 seroprevalence10
Fertility, Economic Incentives and Individual Heterogeneity: Register Data-Based Evidence from France and Germany10
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models9
Review of ‘Object Oriented Data Analysis’9
Tracking trend output using expectations data9
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
Paul Smith’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang9
Model-based clustering for multidimensional social networks9
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
Hands-On Data Analysis in R for Finance8
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
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 20218
Issue Information8
Tony Dent’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley8
Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.8
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 20218
Estimating excess mortality in high-income countries during the COVID-19 pandemic8
Random Circulant Matrices8
Referees8
Issue Information8
Abdelaati Daouia and Gilles Stupfler’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’7
Author's reply to the Discussion of ‘Independent review of the UK Statistics Authority’7
Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects capture–recapture models7
Statistical and Econometric Methods for Transportation Data Analysis7
Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies7
Bayesian model-based outlier detection in network meta-analysis7
Neural Forecasting of the Italian Sovereign Bond Market with Economic News7
Kuldeep Kumar’s contribution to the Discussion of the “Discussion Meeting on the Analysis of citizen science data”7
Number Savvy: From the Invention of Numbers to the Future of Data7
Peter Holmes 1937–20247
Instrumental variables: to strengthen or not to strengthen?7
Assessments and developments in constructing a National Health Index for policy-making, in the UK7
David Wishart (1943–2020)6
Analytic Methods in Sports – Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other6
Spatial Analysis6
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 COV6
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model6
Norman Richard Draper (1931—2022)6
Big Data and Social Science Data Science Methods and Tools for Research and Practice6
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 ‘Frequentist Prediction Sets for Species Abundance using Indirect Information’ at the ‘Discussion Meeting on the Analysis of citizen science data’5
Are Epidemic Growth Rates More Informative than Reproduction Numbers?5
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks5
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets: a synthetic-control approach5
Authors’ reply to the Discussion of ‘Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter’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 20215
Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata that Balance Many Covariates5
Multilevel longitudinal analysis of social networks5
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review5
Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy5
Matching methods for truncation by death problems4
Principles of Biostatistics4
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
(No) Spillovers in reporting domestic abuse to police4
Maozai Tian’s Contribution to the Discussion of the ‘Discussion Meeting on the Analysis of Citizen Science Data’4
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain4
Machine Learning Approaches to Identify Thresholds in a Heat-Health Warning System Context4
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
Advanced Survival Models4
Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’4
Dynamic Modelling of Mortality Via Mixtures of Skewed Distribution Functions4
Bayesian Cost-Effectiveness Analysis of Medical Treatments4
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions4
A Bayesian spatial–temporal varying coefficients model for estimating excess deaths associated with respiratory infections4
Policy effect evaluation under counterfactual neighbourhood intervention in the presence of spillover4
Ole Eiler Barndorff-Nielsen, 1935-20224
Statistical Methods for Handling Incomplete Data3
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
Theory of Ridge Regression Estimation with Applications3
Meta-Analysis Methods for Health and Experimental Studies3
Introducing Web in a Mixed-Mode Establishment Survey: Effects on Nonresponse3
Léo R. Belzile and Rishikesh Yadav’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’3
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
Secure Big Data Collection and Processing: Framework, Means and Opportunities3
Mixture Models: Parametric, Semiparametric, and New Directions3
Embrace the noise: it is ok to ignore measurement error in a covariate, sometimes3
Predicting cancer incidence in regions without population-based cancer registries using mortality3
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
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model3
Symmetry estimating R × C vote transfer matrices from aggregate data3
Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation3
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies3
Proposer of the vote of thanks and contribution to the Discussion of the “Discussion Meeting on the Analysis of citizen science data”3
Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’3
Allan Reese’s contribution to the Discussion of the “Discussion Meeting on the Analysis of citizen science data”3
Estimating Regional Income Indicators under Transformations and Access to Limited Population Auxiliary Information3
Integrating testing volume into bandit algorithms for infectious disease surveillance3
Multivariate Analysis3
Exploring Modeling with Data and Differential Equations Using R3
A Celebration of Harvey Goldstein’s Lifetime Contributions: Memories of Working with Harvey Goldstein on Educational Research and Statistics3
Contents of Volume 185, 20223
Pricing in General Insurance3
Nearest Neighbour Ratio Imputation with Incomplete Multinomial Outcome in Survey Sampling3
Sheila M. Bird’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley3
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects3
Philip M. North 1949–20213
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables3
Estimating racial and ethnic healthcare quality disparities using exploratory item response theory and latent class item response theory models3
Multivariate Hierarchical Analysis of Car Crashes Data Considering a Spatial Network Lattice3
Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model3
Life-Course Perspective on Personality Traits and Fertility with Sequence Analysis3
Applied Statistics with R: A Practical Guide for the Life Sciences3
Estimating Stochastic Survey Response Errors using the Multitrait-Multierror Model2
Kuldeep Kumar's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’2
Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools2
Unveiling Venice’s hotels competition networks from dynamic pricing digital market2
It’s about time: revisiting reciprocity and triadicity in relational event analysis2
Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders2
Paul Allin’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang2
‘Does God toss logistic coins?’ and other questions that motivate regression by composition2
Medical Risk Prediction Models: With Ties to Machine Learning2
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models2
Xiaoping Shi, Yue Zhang and Yucheng Dong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’2
A Modelling Strategy to Estimate Conditional Probabilities of African Origins: The Collapse of the Oyo Empire and The Transatlantic Slave Trade, 1817–18362
Handbook of Survival Analysis2
Analysis of Clustered Survey Data Based on Two-Stage Informative Sampling and Associated Two-Level Models2
David Vere-Jones, 1936–20242
Data Science in Practice2
A Decision Support System for Addressing Food Security in the United Kingdom2
Innovating the Collection of Open-Ended Answers: The Linguistic and Content Characteristics of Written and Oral Answers to Political Attitude Questions2
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
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage2
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
Handbook of Regression Modeling in People Analytics, With Examples in R and Python2
Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises2
Weighting, Informativeness and Causal Inference, with an Application to Rainfall Enhancement2
The Effect of Epidemic Outbreak on Healthcare Usage: Lessons from the 2015 Middle East Respiratory Syndrome Outbreak in South Korea2
Pre-Apprenticeship Training for Young People: Estimating the Marginal and Average Treatment Effects2
Rebecca Riley’s invited contribution to the Discussion of the ‘Independent review of the UK Statistics Authority’ by Lievesley2
Causal inference over stochastic networks2
Bayesian multistate modelling of incomplete chronic disease burden data2
Zero-inflated stochastic block modelling of efficiency-security trade-offs in weighted criminal networks2
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-192
Theo Gasser, 1941–20232
A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints2
Peter Whittle, 1927–20212
Sample Sizes for Clinical Trials2
Andrej Srakar’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
Referees2
R Markdown Cookbook2
Issue Information2
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach2
A groupwise approach for inferring heterogeneous treatment effects in causal inference2
Dynamic latent space relational event model2
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