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 2022-08-01 to 2026-08-01.)
ArticleCitations
Artificial Intelligence and Causal Inference41
Anthony (John) Fox, 1946–202428
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’28
Auerbach et al.'s contribution to the Discussion of ‘Independent review of the UK Statistics Authority' by Lievesley26
Stephen Senn’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.25
Impacts of innovation school system in Korea: a latent space item response model with Neyman–Scott point process25
Ondřej Vencálek's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.24
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates23
Ursula Berger, Göran Kauermann, and Helmut Küchenhoff’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.23
Modelling Survival Data in Medical Research: Fourth Edition21
Networks with correlated edge processes16
John Dunne and Li-Chun Zhang's reply to the Discussion of ‘A system of population estimates compiled from administrative data only'16
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage15
Extreme-value modelling of migratory bird arrival dates: insights from citizen science data15
Models for emergent structures in mobility: specification and individual-level interpretation15
Bias and excess variance in election polling: a not-so-hidden Markov model15
ℓ0-regularized item response theory model for robust ideal point estimation14
Sävje’s contribution to the Discussion of ‘Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond' by Chattopadhyay, Morris and14
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts13
Efficient statistical inference methods for assessing changes in species’ populations using citizen science data13
Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’12
Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’12
Improving survey inference in two-phase designs using Bayesian machine learning12
Randomization inference for before-and-after studies with multiple units: an application to a criminal procedure reform in Uruguay12
Joint modelling of national cultures accounting for within and between-country heterogeneity11
Tensor time series change-point detection in cryptocurrency network data11
G. Tunnicliffe-Wilson’s contribution to the Discussion of ’New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al.10
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates10
Forecasting high-dimensional functional time series with dual-factor structures10
Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes10
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 al.10
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation10
Hengxu Liu’s contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al.10
Network self-exciting point processes to measure health impacts of COVID-199
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
Tracking trend output using expectations data9
Introduction to Data Science: Data Wrangling and Visualization with R9
Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.9
Assessing Epidemic Curves for Evidence of Superspreading9
Fertility, Economic Incentives and Individual Heterogeneity: Register Data-Based Evidence from France and Germany9
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 Zhang8
Handbook of Statistical Methods for Precision Medicine8
Stuart McDonald’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.8
Python packages8
Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices8
Correction to: A calibrated BISG for inferring race from surname and geolocation8
Estimating excess mortality in high-income countries during the COVID-19 pandemic8
Estimating SARS-CoV-2 seroprevalence8
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
Rajendra Bhansali’s contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al.8
Referees7
Author's reply to the Discussion of ‘Independent review of the UK Statistics Authority’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
Irons’ contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.7
Joint modelling of in-hospital mortality and length of stay: a copula additive distributional regression analysis of COVID-19 patient data7
Issue Information7
Peter Holmes 1937–20247
A novel multivariate composite estimator for the labour force survey7
Model-based clustering for multidimensional social networks7
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
Assessments and developments in constructing a National Health Index for policy-making, in the UK7
Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework7
Abdelaati Daouia and Gilles Stupfler’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’6
Lawrence H Moulton’s contribution to the Discussion of ‘Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond' by Chattopadhya6
Number Savvy: From the Invention of Numbers to the Future of Data6
Bayesian model-based outlier detection in network meta-analysis6
Instrumental variables: to strengthen or not to strengthen?6
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
Spatial Analysis6
Kuldeep Kumar’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’6
Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies6
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 20216
Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects capture–recapture models6
Kevin Fong, Tim Cook, and Charlotte Summers’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.5
Sir Kenneth Charles Calman, 1941–20255
Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy5
Nick Andrews’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.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
Big Data and Social Science Data Science Methods and Tools for Research and Practice5
Multilevel longitudinal analysis of social networks5
Authors’ reply to the Discussion of ‘Methods for estimating the exposure–response curve to inform the new safety standards for fine particulate matter’5
Analysis of household effects on longitudinal health outcomes using a joint mean-correlation multilevel model with grouped random effects5
Long-term trends of US county-level extreme ozone concentrations with long memory and changepoint considerations5
John Ioannidis’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.5
Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening5
Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’5
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
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model5
Yu Tian, Tan Meng, Maozai Tian, and Zhaoya Zhou’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.5
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets: a synthetic-control approach5
Norman Richard Draper (1931—2022)5
Ole Eiler Barndorff-Nielsen, 1935-20225
Pricing in General Insurance4
Learning individual reproductive behaviour from aggregate fertility rates via neural posterior estimation4
Matching methods for truncation by death problems4
Victor Richmond Jose’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.4
Principles of Biostatistics4
Advanced Survival Models4
A Bayesian spatial–temporal varying coefficients model for estimating excess deaths associated with respiratory infections4
Investigating impacts of health policies using staggered difference-in-differences: the effects of adoption of an online consultation system on prescribing patterns of antibiotics4
Model calibration and evaluation via optimal subsampling using electronic health record data4
The effect of political advertising after Citizens United : adjusting for unmeasured confounding in marginal structural models4
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
Symmetry estimating R × C vote transfer matrices from aggregate data4
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
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions4
A Bayesian approach to estimate causal peer influence accounting for latent network homophily4
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model4
(No) Spillovers in reporting domestic abuse to police4
Policy effect evaluation under counterfactual neighbourhood intervention in the presence of spillover4
Statistical Methods for Handling Incomplete Data3
Maozai Tian’s contribution to the Discussion of the ‘Discussion meeting on the Analysis of citizen science data’3
Mixture Models: Parametric, Semiparametric, and New Directions3
Proposer of the vote of thanks and contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’3
Handbook of Survival Analysis3
Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model3
Estimating global HIV prevalence in key populations: a cross-population temporal hierarchical modelling approach3
Paul Rosenbaum’s contribution to the Discussion of ’Balanced and robust randomized treatment assignments: the finite selection model for the health insurance experiment and beyond’ by Chattopadhyay, M3
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
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
Supervised network prediction for household statistics3
Predicting cancer incidence in regions without population-based cancer registries using mortality3
Embrace the noise: it is ok to ignore measurement error in a covariate, sometimes3
Luke A. Barratt’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.3
A groupwise approach for inferring heterogeneous treatment effects in causal inference3
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
Spatial Linear Models for Environmental Data3
Topic modelling for free-response text data from a complex survey3
Estimating Regional Income Indicators under Transformations and Access to Limited Population Auxiliary Information3
Sheila M. Bird’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley3
Contents of Volume 185, 20223
Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data3
Applied Statistics with R: A Practical Guide for the Life Sciences3
Multivariate Analysis3
Rebecca Riley’s invited contribution to the Discussion of the ‘Independent review of the UK Statistics Authority’ by Lievesley3
Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’3
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies3
A regression-based approach for bidirectional proximal causal inference3
Integrating testing volume into bandit algorithms for infectious disease surveillance3
Understanding how network geometry influences diffusion processes in complex networks: a focus on cryptocurrency blockchains and critical infrastructure networks3
Exploring Modeling with Data and Differential Equations Using R3
Andrej Srakar’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’2
David Vere-Jones, 1936–20242
Latent class multi-state quantile regression with a cure fraction: application to jail recidivism in the U.S.2
Financial Data Analysis with R: Monte-Carlo Validation2
New insights into terrorism radicalization: uncertainty quantification through stochastic modelling2
John Michael Bibby, 1944–20252
Two-phase treatment with noncompliance: identifying the cumulative average treatment effect via multisite instrumental variables2
Sample Sizes for Clinical Trials2
Paul Allin’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang2
Xiaoping Shi, Yue Zhang and Yucheng Dong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’2
‘Does God toss logistic coins?’ and other questions that motivate regression by composition2
Professor Lorenzo Pellis’ contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.2
Léo R. Belzile and Rishikesh Yadav’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’2
An Adventure in Statistics: The Reality Enigma2
Sheila M Bird’s invited contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.2
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
Weighting, Informativeness and Causal Inference, with an Application to Rainfall Enhancement2
Gaussian process priors with Markov properties for effective reproduction number inference2
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage2
Statistical Inference2
Theo Gasser, 1941–20232
Handbook of Regression Modeling in People Analytics, With Examples in R and Python2
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
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects2
Causal inference over stochastic networks2
Allan Reese’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
Bayesian multistate modelling of incomplete chronic disease burden data2
Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises2
The New Statistics with R: An Introduction for Biologists2
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
David Hand’s contribution to the Discussion of ‘New tools for network time series with an application to COVID-19 hospitalisations’ by Nason et al.2
Dynamic latent space relational event model2
Data Science in Practice2
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach2
Data Science and Risk Analytics in Finance and Insurance2
Referees2
Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders2
Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.2
Who prefers smartphone surveys? Revisiting predictors of survey mode preference2
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