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

Papers
(The median citation count of Journal of the Royal Statistical Society Series A-Statistics in Societ is 0. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Artificial Intelligence and Causal Inference40
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’27
Anthony (John) Fox, 1946–202426
Supervised Machine Learning for Text Analysis in R26
Auerbach et al.'s contribution to the Discussion of ‘Independent review of the UK Statistics Authority' by Lievesley23
Impacts of innovation school system in Korea: a latent space item response model with Neyman–Scott point process22
Improving survey inference in two-phase designs using Bayesian machine learning22
Stephen Senn’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.22
Ondřej Vencálek's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.21
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.19
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates16
Networks with correlated edge processes15
Modelling Survival Data in Medical Research: Fourth Edition15
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts14
Bias and excess variance in election polling: a not-so-hidden Markov model14
John Dunne and Li-Chun Zhang's reply to the Discussion of ‘A system of population estimates compiled from administrative data only'14
Extreme-value modelling of migratory bird arrival dates: insights from citizen science data13
Efficient statistical inference methods for assessing changes in species’ populations using citizen science data13
ℓ0-regularized item response theory model for robust ideal point estimation12
Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’12
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 and12
Models for emergent structures in mobility: specification and individual-level interpretation12
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage12
Randomization inference for before-and-after studies with multiple units: an application to a criminal procedure reform in Uruguay11
Tensor time series change-point detection in cryptocurrency network data10
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation10
Forecasting high-dimensional functional time series with dual-factor structures10
Joint modelling of national cultures accounting for within and between-country heterogeneity10
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates10
Assessing Epidemic Curves for Evidence of Superspreading10
Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’10
Network self-exciting point processes to measure health impacts of COVID-1910
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.9
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.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 al.9
Tracking trend output using expectations data9
Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes9
Jorge Mateu's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’8
Estimating SARS-CoV-2 seroprevalence8
Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices8
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’8
Fertility, Economic Incentives and Individual Heterogeneity: Register Data-Based Evidence from France and Germany8
Linear Regression Models: Applications in R8
Introduction to Data Science: Data Wrangling and Visualization with R8
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 Medicine7
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.7
Irons’ contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.7
Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework7
Hands-On Data Analysis in R for Finance7
Tony Dent’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley7
Model-based clustering for multidimensional social networks7
Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.7
Stuart McDonald’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.7
Python packages7
Estimating excess mortality in high-income countries during the COVID-19 pandemic7
Correction to: A calibrated BISG for inferring race from surname and geolocation7
A novel multivariate composite estimator for the labour force survey7
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 20216
Peter Holmes 1937–20246
Instrumental variables: to strengthen or not to strengthen?6
Assessments and developments in constructing a National Health Index for policy-making, in the UK6
Issue Information6
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
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
Referees6
Author's reply to the Discussion of ‘Independent review of the UK Statistics Authority’6
Abdelaati Daouia and Gilles Stupfler’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’6
Bayesian model-based outlier detection in network meta-analysis6
Long-term trends of US county-level extreme ozone concentrations with long memory and changepoint considerations5
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
Authors’ reply to the Discussion of ‘Methods for estimating the exposure–response curve to inform the new safety standards for fine particulate matter’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
Number Savvy: From the Invention of Numbers to the Future of Data5
Big Data and Social Science Data Science Methods and Tools for Research and Practice5
Spatial Analysis5
Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening5
John Ioannidis’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.5
Norman Richard Draper (1931—2022)5
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 Chattopadhya5
Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects capture–recapture models5
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets: a synthetic-control approach5
Nick Andrews’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.5
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
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
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 20215
Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy5
Pricing in General Insurance4
Maozai Tian’s contribution to the Discussion of the ‘Discussion meeting on the Analysis of citizen science data’4
Arun Peter Chind’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley4
Advanced Survival Models4
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks4
Crime by the Numbers: A Criminologist’s Guide to R4
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions4
Victor Richmond Jose’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.4
Learning individual reproductive behaviour from aggregate fertility rates via neural posterior estimation4
Ole Eiler Barndorff-Nielsen, 1935-20224
Multilevel longitudinal analysis of social networks4
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
Supervised network prediction for household statistics4
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
Model calibration and evaluation via optimal subsampling using electronic health record data4
Principles of Biostatistics4
Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’4
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model4
(No) Spillovers in reporting domestic abuse to police4
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain3
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables3
Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’3
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
Embrace the noise: it is ok to ignore measurement error in a covariate, sometimes3
Spatial Linear Models for Environmental Data3
Exploring Modeling with Data and Differential Equations Using R3
Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model3
Contents of Volume 185, 20223
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model3
Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data3
A Bayesian approach to estimate causal peer influence accounting for latent network homophily3
Symmetry estimating R × C vote transfer matrices from aggregate data3
Understanding how network geometry influences diffusion processes in complex networks: a focus on cryptocurrency blockchains and critical infrastructure networks3
Estimating racial and ethnic healthcare quality disparities using exploratory item response theory and latent class item response theory models3
Multivariate Analysis3
Predicting cancer incidence in regions without population-based cancer registries using mortality3
Integrating testing volume into bandit algorithms for infectious disease surveillance3
Applied Statistics with R: A Practical Guide for the Life Sciences3
Mixture Models: Parametric, Semiparametric, and New Directions3
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
Policy effect evaluation under counterfactual neighbourhood intervention in the presence of spillover3
Investigating impacts of health policies using staggered difference-in-differences: the effects of adoption of an online consultation system on prescribing patterns of antibiotics3
Sheila M. Bird’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley3
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies3
A groupwise approach for inferring heterogeneous treatment effects in causal inference3
A regression-based approach for bidirectional proximal causal inference3
Luke A. Barratt’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.3
Topic modelling for free-response text data from a complex survey3
Estimating Regional Income Indicators under Transformations and Access to Limited Population Auxiliary Information3
A Celebration of Harvey Goldstein’s Lifetime Contributions: Memories of Working with Harvey Goldstein on Educational Research and Statistics3
Statistical Methods for Handling Incomplete Data3
A Bayesian spatial–temporal varying coefficients model for estimating excess deaths associated with respiratory infections3
Matching methods for truncation by death problems3
David Vere-Jones, 1936–20242
A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints2
Referees2
Sample Sizes for Clinical Trials2
Sheila M Bird’s invited 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
Bayesian multistate modelling of incomplete chronic disease burden data2
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models2
Allan Reese’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
The New Statistics with R: An Introduction for Biologists2
Causal inference over stochastic networks2
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects2
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
Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.2
Data Science in Practice2
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
Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises2
New insights into terrorism radicalization: uncertainty quantification through stochastic modelling2
Andrej Srakar’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’2
Léo R. Belzile and Rishikesh Yadav’s contribution to the Discussion of ‘the Discussion Meeting on the Analysis of citizen science data’2
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
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
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach2
Financial Data Analysis with R: Monte-Carlo Validation2
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
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-192
Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders2
An Adventure in Statistics: The Reality Enigma2
Issue Information2
Rebecca Riley’s invited contribution to the Discussion of the ‘Independent review of the UK Statistics Authority’ by Lievesley2
Statistical Inference2
Professor Lorenzo Pellis’ contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.2
Handbook of Survival Analysis2
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
Spatio-temporal quasi-experimental methods for rare disease outcomes: the impact of reformulated gasoline on childhood haematologic cancer1
A Bayesian model of later life mortality trends and implications for longevity1
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
Yuhang Liu, Weihao Wang, Weng-Kee Wong, and Wei Zhu’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.1
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.1
Measuring a country’s digital industrial structure: commercial websites and weakly supervised classification to the rescue1
Leonhard Held and Maria Bekker-Nielsen Dunbar’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.1
Thanks to RSS referees 20231
Zero-inflated stochastic block modelling of efficiency-security trade-offs in weighted criminal networks1
Next-Generation Sequencing Data Analysis1
Dennis J. Trewin’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley1
Peter Goldblatt’s invited contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.1
Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’1
Statistical Prediction and Machine Learning1
Synthesis estimators for transportability with positivity violations by a continuous covariate1
Small Data, Big Time—A Retrospect of the First Weeks of COVID-191
Small area estimation using spatio-temporal M-quantile models1
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
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner’s Guide to Advanced Data Analysis1
The future of economic statistics1
Calyampudi Radhakrishna (CR) Rao 1920–20231
Ian Pieter Schagen 1947–20251
A Bayesian approach to model local and temporal heterogeneity in repeated cross-sectional health surveys1
Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools1
Poverty and Inequality Mapping Based on a Unit-Level Log-Normal Mixture Model1
Estimating corporate investment efficiency with bias correction: a semiparametric panel model approach1
A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses1
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage1
Small area estimation under a spatially correlated multivariate area-level model1
Unveiling Venice’s hotels competition networks from dynamic pricing digital market1
Time Series Modelling of Repeated Survey Data for Estimation of Finite Population Parameters1
Data Science and Risk Analytics in Finance and Insurance1
Uncertainty Analysis for Engineers and Scientists: A Practical Guide1
A Celebration of Harvey Goldstein’s Lifetime Contributions: Foreword1
Geert Molenberghs’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.1
Relational hyperevent models for polyadic interaction networks1
Administrative border effects in COVID-19 related mortality1
A Diagnostic Framework for the Bradley–Terry Model1
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Statistical Aspects of the Covid-19 Pandemic’1
Demand Forecasting for Executives and Professionals1
1
COVID-19 vaccine fatigue in Scotland: how do the trends in attrition rates for the second and third doses differ by age, sex, and council area?1
Learning Microeconometrics with R1
An Age–Period–Cohort model for the gender gap in youth and early adult 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
Nonparanormal hidden semi-Markov graphical models for analyzing financial markets interconnectivity1
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
Subjective Well-Being and Social Media1
John Michael Bibby, 1944–20251
Incorporating short data into large mixed-frequency vector autoregressions for regional nowcasting1
Latent class multi-state quantile regression with a cure fraction: application to jail recidivism in the U.S.1
Frank Duckworth, 1939–20241
Donald P. Green and Jonas M. Mikhaeil’s contribution to the Discussion of ‘Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyo1
A multivariate dynamic statistical model of the global carbon budget 1959–20201
Weighting, Informativeness and Causal Inference, with an Application to Rainfall Enhancement1
Measuring top income shares in the UK1
It’s about time: revisiting reciprocity and triadicity in relational event analysis1
Assessing random-effects model fit in meta-analysis using a third-order Cochran statistic1
ANOVA and Mixed Models: A Short Introduction Using R1
Security Risk Models for Cyber Insurance1
Modelling emergency disaster mortality around the world: a network-based distributional inference approach1
Heterogeneity in the US gender wage gap1
Christine P. Chai’s contribution to the discussion of “A system of population estimates compiled from administrative data only” by Dunne and Zhang1
Fifty years with the Cox proportional hazards model: history, influence, and future1
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
Control function quantile hedonic pricing1
A comparison of exposure uncertainty propagation models used in epidemiological studies1
Thomas R. Fanshawe’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.1
Small area estimation of labour force indicators under unit-level multinomial mixed models0
Cultures as networks of cultural traits: a unifying framework for measuring culture and cultural distances0
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