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 2020-04-01 to 2024-04-01.)
ArticleCitations
Multilevel Network Meta-Regression for Population-Adjusted Treatment Comparisons54
Testing by Betting: A Strategy for Statistical and Scientific Communication38
Estimating Causal Moderation Effects with Randomized Treatments and Non-Randomized Moderators27
Simple Rules to Guide Expert Classifications19
Are Epidemic Growth Rates More Informative than Reproduction Numbers?17
Combining Non-Probability and Probability Survey Samples Through Mass Imputation17
Health Aid, Governance and Infant Mortality16
On the Interplay of Regional Mobility, Social Connectedness and The Spread of COVID-19 in Germany16
Improving External Validity of Epidemiologic Cohort Analyses: a Kernel Weighting Approach15
Causal Inference, Social Networks and Chain Graphs15
The effect of the Brexit Referendum Result on Subjective Well-being15
A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student’s Skills14
New Statistical Metrics for Multisite Replication Projects14
Quantifying Domestic Violence in Times of Crisis: An Internet Search Activity-Based Measure for the COVID-19 Pandemic13
Dynamic Survival Prediction Combining Landmarking with a Machine Learning Ensemble: Methodology and Empirical Comparison11
When Zero May Not Be Zero: A Cautionary Note on the Use of Inter-Rater Reliability in Evaluating Grant Peer Review11
A Comparison of Prior Elicitation Aggregation Using the Classical Method and SHELF11
Covariate selection for generalizing experimental results: Application to a large-scale development program in Uganda10
Estimation of Reproduction Numbers in Real Time: Conceptual and Statistical Challenges10
Nowcasting Monthly GDP with Big Data: A Model Averaging Approach10
Using Linked Consumer Registers to Estimate Residential moves in the United Kingdom10
Interviewer Effects and the Measurement of Financial Literacy10
A Bayesian Multivariate Factor Analysis Model for Evaluating an Intervention by Using Observational Time Series Data on Multiple Outcomes10
A Dynamic Separable Network Model with Actor Heterogeneity: An Application to Global Weapons Transfers10
Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data9
Flexible Instrumental Variable Distributional Regression9
Linking Surveys and Digital Trace Data: Insights From two Studies on Determinants of Data Sharing Behaviour9
Did you Conduct a Sensitivity Analysis? A New Weighting-Based Approach for Evaluations of the Average Treatment Effect for the Treated8
Propensity Score Analysis for a Semi-Continuous Exposure Variable: A Study of Gestational Alcohol Exposure and Childhood Cognition8
A Bayesian Structural Time Series Analysis of the Effect of Basic Income on Crime: Evidence From the Alaska Permanent Fund8
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review8
A Dynamic Factor Model Approach to Incorporate Big Data in State Space Models for Official Statistics8
A Similarity-Based Approach for Macroeconomic Forecasting8
Inequality Measurement with Grouped Data: Parametric and Non-Parametric Methods8
A Dynamic Choice Model to Estimate the User Cost of Crowding with Large-Scale Transit Data7
Forecasting of Cohort Fertility Under a Hierarchical Bayesian Approach7
From German Internet Panel to Mannheim Corona Study: Adaptable probability-based online panel infrastructures during the pandemic7
A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case7
Fulfilling the Information Need After an Earthquake: Statistical Modelling of Citizen Science Seismic Reports for Predicting Earthquake Parameters in Near Realtime7
Causal Discovery of Gene Regulation with Incomplete Data7
Network self-exciting point processes to measure health impacts of COVID-197
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths7
Two-Phase Sampling Designs for Data Validation in Settings with Covariate Measurement Error and Continuous Outcome7
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-197
Multivariate Hierarchical Analysis of Car Crashes Data Considering a Spatial Network Lattice7
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain6
An Ensemble Method for Early Prediction of Dengue Outbreak6
Is Being an only Child Harmful to Psychological Health?: Evidence from an Instrumental Variable Analysis of China's one-child Policy6
When Survey Science Met Web Tracking: Presenting an Error Framework for Metered Data6
Trustworthiness of Statistical Inference6
A Placebo Design to Detect Spillovers from an Education–Entertainment Experiment in Uganda6
Ranking, and Other Properties, of Elite Swimmers Using Extreme Value Theory6
Personalised need of Care in an Ageing Society: The Making of a Prediction Tool Based on Register Data6
Proxy Expenditure Weights for Consumer Price Index: Audit Sampling Inference for Big-Data Statistics6
The Effects of Question, Respondent and Interviewer Characteristics on Two Types of Item Nonresponse6
Non-Participation in Smartphone Data Collection Using Research Apps5
The Effects of Health on the Extensive and Intensive Margins of Labour Supply5
The Design of Replication Studies5
Missing, Presumed different: Quantifying the risk of Attrition Bias in Education Evaluations5
Linkage-Data Linear Regression5
The Helsinki Bike-Sharing System—Insights Gained from a Spatiotemporal Functional Model5
Multilevel Time Series Modelling of Mobility Trends in the Netherlands for Small Domains5
Power Law in COVID-19 Cases in China5
A multivariate dynamic statistical model of the global carbon budget 1959–20205
Specification and Testing of Hierarchical Ordered Response Models with Anchoring Vignettes5
Predicting Individual Effects in Fixed Effects Panel Probit Models5
The Impact of Using the Web in a Mixed-Mode Follow-up of a Longitudinal Birth Cohort Study: Evidence from the National Child Development Study5
Finding the Strength in a Weak Instrument in a Study of Cognitive Outcomes Produced by Catholic High Schools4
Transnational Machine Learning with Screens for Flagging Bid-Rigging Cartels4
Transitioning a Panel Survey from in-person to Predominantly Web Data Collection: Results and Lessons Learned4
The Effect of Weather Conditions on Fertilizer Applications: A Spatial Dynamic Panel Data Analysis4
Removing the Influence of Group Variables in High-Dimensional Predictive Modelling4
Efficient Bayesian inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities4
Innovating the Collection of Open-Ended Answers: The Linguistic and Content Characteristics of Written and Oral Answers to Political Attitude Questions4
On Probability Distributions of the Time Deviation Law of Container Liner Ships Under Interference Uncertainty4
A Causal Inference Framework for Cancer Cluster Investigations using Publicly Available Data4
Estimation of Causal Effects with Small Data in the Presence of Trapdoor Variables4
Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process4
A New Experiment on the use of Images to Answer Web Survey Questions4
Is Facebook’s Advertising Data Accurate Enough for Use in Social Science Research? Insights from a Cross-National Online Survey4
Modelling Non-Linear Age-Period-Cohort Effects and Covariates, With an Application to English Obesity 2001–20144
Multivariate claim count regression model with varying dispersion and dependence parameters4
Exploiting New Forms of Data to Study the Private Rented Sector: Strengths and Limitations of a Database of Rental Listings4
Using a Responsive Survey Design to Innovate Self-Administered Mixed-Mode Surveys4
Bayesian multistate modelling of incomplete chronic disease burden data4
Enhancing (Publications on) Data Quality: Deeper Data Minding and Fuller Data Confession4
Measuring the Impact of Clean Energy Production on CO2 Abatement in Denmark: Upper Bound Estimation and Forecasting4
Beyond Generalization of the ATE: Designing Randomized Trials to Understand Treatment Effect Heterogeneity4
Examining the Causal Mediating Role of Brain Pathology on the Relationship Between Diabetes and Cognitive Impairment: The Cardiovascular Health Study4
Social and Material Vulnerability in the Face of Seismic Hazard: An Analysis of the Italian Case4
Synthetic Microdata for Establishment Surveys Under Informative Sampling4
On the use of the Reproduction Number for SARS-COV-2: Estimation, Misinterpretations and Relationships with other Ecological Measures4
Estimation of the Prevalence of Chronic Kidney Disease in People with Diabetes by Combining Information from Multiple Routine Data Collections3
Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation3
Does Stop and Search Reduce Crime? Evidence from Street-Level Data and a Surge in Operations Following a High-Profile Crime3
A Simple Framework to Identify Optimal Cost-Effective Risk Thresholds for a Single Screen: Comparison to Decision Curve Analysis3
Assessing the Effect of School Closures on the Spread of COVID-19 in Zurich3
Long-Term Spatial Modelling for Characteristics of Extreme Heat Events3
Latent network models to account for noisy, multiply reported social network data3
A Decision Support System for Addressing Food Security in the United Kingdom3
Pictures Instead of Survey Questions: An Experimental Investigation of the Feasibility of Using Pictures in a Housing Survey3
A Seasonal Dynamic Measurement Model for Summer Learning Loss3
Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment*3
Multiple System Estimation using Covariates having Missing Values and Measurement Error: Estimating the Size of the Māori Population in New Zealand3
Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes3
Intercensal Updating Using Structure-Preserving Methods and Satellite Imagery3
Testing for Calibration Discrepancy of Reported Likelihood Ratios in Forensic Science3
Chloe Krakauer and Kenneth Rice’s Contribution to The Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer3
A Computationally Efficient, High-Dimensional Multiple Changepoint Procedure with Application to Global Terrorism Incidence3
Temporal Disaggregation of Overlapping Noisy Quarterly Data: Estimation of Monthly Output from Uk Value-added Tax Data3
Multilevel longitudinal analysis of social networks3
A Semi-Parametric Approach to Model-Based Sensitivity Analysis in Observational Studies3
A COVID-19 Model for Local Authorities of the United Kingdom3
Regression Analysis in R: A Comprehensive View for the Social Sciences3
Author’s reply to the Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer3
Quantifying Longevity Gaps Using Micro-Level Lifetime Data3
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables3
Relational hyperevent models for polyadic interaction networks3
Improved Retention Analysis in Freemium Role-Playing games by Jointly Modelling Players’ Motivation, Progression and Churn3
Credit Line Exposure at Default Modelling Using Bayesian Mixed Effect Quantile Regression3
Machine Learning Approaches to Identify Thresholds in a Heat-Health Warning System Context3
Statistical and Econometric Methods for Transportation Data Analysis3
Modified Poisson Regression Analysis of Grouped and Right-Censored Counts3
Model-based Clustering and Analysis of Life History Data3
Comparing the Real-World Performance of Exponential-Family Random Graph Models and Latent Order Logistic Models for Social Network Analysis3
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models3
Sparse Temporal Disaggregation3
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio3
Linearization and Variance Estimation of the Bonferroni Inequality Index2
Life-Course Perspective on Personality Traits and Fertility with Sequence Analysis2
Interpretable sensitivity analysis for balancing weights2
Switching from Telephone to Web-First Mixed-Mode Data Collection: Results from The Transition into Adulthood Supplement to the US Panel Study of Income Dynamics2
Mapping Ex Ante Risks of COVID-19 in Indonesia using a Bayesian Geostatistical Model on Airport Network Data2
An experimental evaluation of a stopping rule aimed at maximizing cost-quality trade-offs in surveys2
Sample Size Determination for Risk-Based Tax Auditing2
A Unique Bond: Twin Bereavement and Lifespan Associations of Identical and Fraternal Twins2
Interactive Web-Based Data Visualization with R, Plotly, and Shiny2
Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data2
Bayesian Econometric Modelling of Observational Data for Cost-effectiveness Analysis: Establishing the Value of Negative Pressure Wound Therapy in the Healing of Open Surgical Wounds2
Do Coefficients of Variation of Response Propensities Approximate Non-Response Biases During Survey Data Collection?2
Poverty and Inequality Mapping Based on a Unit-Level Log-Normal Mixture Model2
COVID-19 Clinical Footprint to Infer About Mortality2
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks2
Change Point Analysis of Historical Battle Deaths2
Optimising Precision and Power by Machine Learning in Randomised Trials with Ordinal and Time-to-Event Outcomes with an Application to COVID-192
A Probabilistic Formalisation of Contextual Bias: from Forensic Analysis to Systemic Bias in the Criminal Justice System2
Using Text Mining to Track Outbreak Trends in Global Surveillance of Emerging Diseases: ProMED-mail2
Univariate, Bivariate and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science2
A Bayesian decision support system for counteracting activities of terrorist groups2
Spatio-Temporal Mixed Membership Models for Criminal Activity2
Analysing Establishment Survey Non-Response Using Administrative Data and Machine Learning2
Density-Based Clustering of Social Networks2
Medical Risk Prediction Models: With Ties to Machine Learning2
Sebastian Funk, Sam Abbott and Johannes Bracher’s Discussion Contribution to the Papers in Session 2 of The Royal Statistical Society’s Special Topic Meeting on Covid-19 Transmission: 11 June 20212
Model-based clustering for multidimensional social networks2
2
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation2
Functional ANOVA Modelling of Pedestrian Counts on Streets in Three European Cities2
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse2
Dynamic latent space relational event model1
Networks with correlated edge processes1
Pension Eligibility Rules and the Local Causal Effect of Retirement on Cognitive Functioning1
Statistics in Times of Increasing Uncertainty1
Representativeness in Six Waves of Cross-National Online Survey (CRONOS) Panel1
Sander Greenland’s Contribution to The Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer1
Filtering the Intensity of Public Concern from Social Media Count Data with Jumps1
Handbook of Mixture Analysis1
A system of population estimates compiled from administrative data only1
Bayesian Analysis of Social Influence1
Time Series Modelling of Repeated Survey Data for Estimation of Finite Population Parameters1
Neural Forecasting of the Italian Sovereign Bond Market with Economic News1
A Downscaling Approach to Compare COVID-19 Count Data from Databases Aggregated at Different Spatial Scales1
Wasserstein barycenter for link prediction in temporal networks1
Telescope Matching for Reducing Model Dependence in the Estimation of the Effects of Time-Varying Treatments: An Application to Negative Advertising1
Introduction to High-Dimensional Statistics1
Using Saturated Count Models for User-Friendly Synthesis of Large Confidential Administrative Databases1
Estimating Monthly Labour Force Figures During the COVID-19 Pandemic in the Netherlands1
Modelling the large and dynamically growing bipartite network of German patents and inventors1
Estimating Event-Rates from Unreliable Historical Records1
Measuring economic mobility in India using noisy data: a partial identification approach1
Estimating Stochastic Survey Response Errors using the Multitrait-Multierror Model1
Nearest Neighbour Ratio Imputation with Incomplete Multinomial Outcome in Survey Sampling1
Accounting for Spatial Confounding in Epidemiological Studies with Individual-Level Exposures: An Exposure-Penalized Spline Approach1
Temporal and Spatial Taylor's Law: Application to Japanese Subnational Mortality Rates1
Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata that Balance Many Covariates1
On the Reliability of Multiple Systems Estimation for the Quantification of Modern Slavery1
Christopher John Skinner, 1953–20201
Single-Month Unemployment Rate Estimates for the Brazilian Labour Force Survey Using State-Space Models1
Unveiling Venice’s hotels competition networks from dynamic pricing digital market1
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies1
Multivariate Mixture Model for Small Area Estimation of Poverty Indicators1
Matching methods for truncation by death problems1
Don't Cross the Line: Bounding the Causal Effect of Hypergamy Violation on Domestic Violence in India1
Assessing Epidemic Curves for Evidence of Superspreading1
Asymptotic Theory of Principal Component Analysis for Time Series Data with Cautionary Comments1
Generating Poisson-Distributed Differentially Private Synthetic Data1
Understanding Political News Media Consumption with Digital Trace Data and Natural Language Processing1
Session 3 of the RSS Special Topic Meeting on Covid-19 Transmission: Replies to the Discussion1
The one-sayers model for the Extended Crosswise design1
Group- and individual-based approaches to health inequality: towards an integration1
Handbook of Regression Analysis with Applications in R (Second Edition)1
Statistics did not prove that the Huanan Seafood Wholesale Market was the early epicentre of the COVID-19 pandemic1
Measurement error models for spatial network lattice data: Analysis of car crashes in Leeds1
Secure Big Data Collection and Processing: Framework, Means and Opportunities1
Violet Rosina Cane, 1916–20081
Consistent Aggregation with Superlative and Other Price Indices1
Time-Series Analysis for the State-Space Model with R/Stan1
A Hidden Markov Space–Time Model for Mapping the Dynamics of Global Access to Food1
Cultures as networks of cultural traits: a unifying framework for measuring culture and cultural distances1
Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools1
Pairwise Comparisons as a Scale Development Tool for Composite Measures1
Where the bee sucks: a dynamic Bayesian network approach to decision support for pollinator abundance strategies1
Peter D. Grünwald’s Contribution to the Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer1
Principles of Biostatistics1
Pre-Apprenticeship Training for Young People: Estimating the Marginal and Average Treatment Effects1
Instrumental Variable Methods using Dynamic Interventions1
Analysing Cause-Specific Mortality Trends using Compositional Functional Data Analysis1
Medical Statistics for Cancer Studies1
R for Health Data Science1
Domain Prediction with Grouped Income Data1
A Bayesian Hierarchical Model with Integrated Covariate Selection and Misclassification Matrices to Estimate Neonatal and Child Causes of Death1
Authors' reply to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment.’1
G. Barrie Wetherill (1932–2022)0
Statistical Issues in Drug Development0
Innovative Methods for Rare Disease Drug Development0
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 20210
Issue Information0
A Computational Approach to Statistical Learning0
John Dunne and Li-Chun Zhang's reply to the Discussion of ‘A system of population estimates compiled from administrative data only'0
A Multidimensional Pairwise Comparison Model for Heterogeneous Perceptions with an Application to Modelling the Perceived Truthfulness of Public Statements on COVID-190
Estimating the Number of Persons with HIV in Jails Via Web Scraping and Record Linkage0
A Celebration of Harvey Goldstein’s Lifetime Contributions: Memories of Working with Harvey Goldstein on Educational Research and Statistics0
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Statistical Aspects of the Covid-19 Pandemic’0
Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology0
Willem Van Zwet, 1934–20200
Seconder of the Vote of Thanks and Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’0
Data Science for Society: Challenges, Developments and Applications0
Analyzing Spatial Models of Choice and Judgment0
John Michael (Mike) Haslam 1947–20210
Introduction to Data Science: Data analysis and Prediction Algorithms with R0
Theory of Ridge Regression Estimation with Applications0
Small Data, Big Time—A Retrospect of the First Weeks of COVID-190
Artificial Intelligence and Causal Inference0
Contents of Volume 185, 20220
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’0
Meta-Analysis Methods for Health and Experimental Studies0
Judith ter Schure’s Contribution to the Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer0
Mervyn Stone, 1932–20200
Iain David Currie (1946–2022)0
Supervised Machine Learning for Text Analysis in R0
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