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 2022-05-01 to 2026-05-01.)
ArticleCitations
Artificial Intelligence and Causal Inference45
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’40
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 Lievesley25
Anthony (John) Fox, 1946–202425
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates22
Efficient statistical inference methods for assessing changes in species’ populations using citizen science data22
Modelling Survival Data in Medical Research: Fourth Edition22
Extreme-value modelling of migratory bird arrival dates: insights from citizen science data21
Improving survey inference in two-phase designs using Bayesian machine learning21
Impacts of innovation school system in Korea: a latent space item response model with Neyman–Scott point process18
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.15
Stephen Senn’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.15
Ondřej Vencálek's contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.15
Models for emergent structures in mobility: specification and individual-level interpretation14
Networks with correlated edge processes13
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts12
Bias and excess variance in election polling: a not-so-hidden Markov model12
Assessing Epidemic Curves for Evidence of Superspreading12
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage12
John Dunne and Li-Chun Zhang's reply to the Discussion of ‘A system of population estimates compiled from administrative data only'12
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
Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’11
Forecasting high-dimensional functional time series with dual-factor structures11
Tensor time series change-point detection in cryptocurrency network data10
Joint modelling of national cultures accounting for within and between-country heterogeneity10
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation10
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
Randomization inference for before-and-after studies with multiple units: an application to a criminal procedure reform in Uruguay10
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
Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes10
Network self-exciting point processes to measure health impacts of COVID-1910
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
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates10
Irons’ contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.9
Jorge Mateu's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’9
Tracking trend output using expectations data9
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
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
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
Stuart McDonald’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.8
Paul Smith’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only’ by Dunne and Zhang8
Estimating excess mortality in high-income countries during the COVID-19 pandemic7
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’7
Introduction to Data Science: Data Wrangling and Visualization with R7
Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework7
Python packages7
Estimating SARS-CoV-2 seroprevalence7
Mid-quantile mixed graphical models with an application to mass public shootings in the U.S.7
Model-based clustering for multidimensional social networks7
Fertility, Economic Incentives and Individual Heterogeneity: Register Data-Based Evidence from France and Germany7
Handbook of Statistical Methods for Precision Medicine7
A novel multivariate composite estimator for the labour force survey7
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
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
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
Author's reply to the Discussion of ‘Independent review of the UK Statistics Authority’6
Referees6
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
Instrumental variables: to strengthen or not to strengthen?6
Estimating prevalence of opiate and crack cocaine use and injecting in England using mixed-effects capture–recapture models6
Bayesian model-based outlier detection in network meta-analysis6
Assessments and developments in constructing a National Health Index for policy-making, in the UK6
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
Abdelaati Daouia and Gilles Stupfler’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
Number Savvy: From the Invention of Numbers to the Future of Data6
Spatial Analysis6
Peter Holmes 1937–20246
Issue Information6
Linear Regression Models: Applications in R6
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
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
Multilevel longitudinal analysis of social networks5
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 al.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
Norman Richard Draper (1931—2022)5
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks5
Heterogeneous causal effects of neighbourhood policing in New York City with staggered adoption of the policy5
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model5
Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata that Balance Many Covariates5
Nick Andrews’ contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.5
Big Data and Social Science Data Science Methods and Tools for Research and Practice5
Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets: a synthetic-control approach5
Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening5
Pricing in General Insurance4
Investigating impacts of health policies using staggered difference-in-differences: the effects of adoption of an online consultation system on prescribing patterns of antibiotics4
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
Matching methods for truncation by death problems4
Crime by the Numbers: A Criminologist’s Guide to R4
Ole Eiler Barndorff-Nielsen, 1935-20224
Advanced Survival Models4
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain4
Victor Richmond Jose’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.4
Supervised network prediction for household statistics4
Arun Peter Chind’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley4
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
A Bayesian approach to estimate causal peer influence accounting for latent network homophily4
Learning individual reproductive behaviour from aggregate fertility rates via neural posterior estimation4
Maozai Tian’s contribution to the Discussion of the ‘Discussion meeting on the Analysis of citizen science data’4
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions4
(No) Spillovers in reporting domestic abuse to police4
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
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model3
A Bayesian spatial–temporal varying coefficients model for estimating excess deaths associated with respiratory infections3
Contents of Volume 185, 20223
Integrating testing volume into bandit algorithms for infectious disease surveillance3
Estimating Regional Income Indicators under Transformations and Access to Limited Population Auxiliary Information3
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables3
Multivariate Analysis3
Embrace the noise: it is ok to ignore measurement error in a covariate, sometimes3
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies3
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
Applied Statistics with R: A Practical Guide for the Life Sciences3
Statistical Methods for Handling Incomplete Data3
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
Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model3
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
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
Sheila M. Bird’s contribution to the Discussion of ‘Independent review of the UK Statistics Authority’ by Lievesley3
Nearest Neighbour Ratio Imputation with Incomplete Multinomial Outcome in Survey Sampling3
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
Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data3
Predicting cancer incidence in regions without population-based cancer registries using mortality3
Handbook of Survival Analysis3
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
A groupwise approach for inferring heterogeneous treatment effects in causal inference3
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
Spatial Linear Models for Environmental Data3
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
The New Statistics with R: An Introduction for Biologists2
Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders2
Bayesian issues in the 1950s: an episode involving Karl Popper and Jimmie Savage2
Theo Gasser, 1941–20232
Weighting, Informativeness and Causal Inference, with an Application to Rainfall Enhancement2
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
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
Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises2
An Adventure in Statistics: The Reality Enigma2
Professor Lorenzo Pellis’ contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.2
Allan Reese’s contribution to the Discussion of the ‘Discussion Meeting on the Analysis of citizen science data’2
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
Andrej Srakar’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
Data Science in Practice2
A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints2
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
Oliver Johnson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.2
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-192
New insights into terrorism radicalization: uncertainty quantification through stochastic modelling2
Referees2
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects2
Causal inference over stochastic networks2
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
Financial Data Analysis with R: Monte-Carlo Validation2
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models2
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
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
Estimating corporate investment efficiency with bias correction: a semiparametric panel model approach2
Issue Information2
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
Sheila M Bird’s invited contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.2
Statistical Inference2
David Vere-Jones, 1936–20242
Who prefers smartphone surveys? Revisiting predictors of survey mode preference2
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach2
Dynamic latent space relational event model2
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