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 2020-11-01 to 2024-11-01.)
ArticleCitations
Testing by Betting: A Strategy for Statistical and Scientific Communication48
Estimating Causal Moderation Effects with Randomized Treatments and Non-Randomized Moderators37
Combining Non-Probability and Probability Survey Samples Through Mass Imputation23
Are Epidemic Growth Rates More Informative than Reproduction Numbers?19
Health Aid, Governance and Infant Mortality19
A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student’s Skills18
When Zero May Not Be Zero: A Cautionary Note on the Use of Inter-Rater Reliability in Evaluating Grant Peer Review17
The effect of the Brexit Referendum Result on Subjective Well-being17
Quantifying Domestic Violence in Times of Crisis: An Internet Search Activity-Based Measure for the COVID-19 Pandemic15
On the Interplay of Regional Mobility, Social Connectedness and The Spread of COVID-19 in Germany15
Linking Surveys and Digital Trace Data: Insights From two Studies on Determinants of Data Sharing Behaviour15
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review14
Estimation of Reproduction Numbers in Real Time: Conceptual and Statistical Challenges13
Dynamic Survival Prediction Combining Landmarking with a Machine Learning Ensemble: Methodology and Empirical Comparison13
Covariate selection for generalizing experimental results: Application to a large-scale development program in Uganda13
A Comparison of Prior Elicitation Aggregation Using the Classical Method and SHELF12
Using Linked Consumer Registers to Estimate Residential moves in the United Kingdom12
Inequality Measurement with Grouped Data: Parametric and Non-Parametric Methods11
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths11
Multivariate Hierarchical Analysis of Car Crashes Data Considering a Spatial Network Lattice11
Nowcasting Monthly GDP with Big Data: A Model Averaging Approach11
Multilevel longitudinal analysis of social networks10
Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data10
A Dynamic Separable Network Model with Actor Heterogeneity: An Application to Global Weapons Transfers10
When Survey Science Met Web Tracking: Presenting an Error Framework for Metered Data10
Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment*10
Interviewer Effects and the Measurement of Financial Literacy10
Network self-exciting point processes to measure health impacts of COVID-1910
Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes10
An Ensemble Method for Early Prediction of Dengue Outbreak9
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-199
Relational hyperevent models for polyadic interaction networks9
A Dynamic Choice Model to Estimate the User Cost of Crowding with Large-Scale Transit Data9
Innovating the Collection of Open-Ended Answers: The Linguistic and Content Characteristics of Written and Oral Answers to Political Attitude Questions9
Propensity Score Analysis for a Semi-Continuous Exposure Variable: A Study of Gestational Alcohol Exposure and Childhood Cognition9
A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case9
Did you Conduct a Sensitivity Analysis? A New Weighting-Based Approach for Evaluations of the Average Treatment Effect for the Treated9
Two-Phase Sampling Designs for Data Validation in Settings with Covariate Measurement Error and Continuous Outcome9
A Dynamic Factor Model Approach to Incorporate Big Data in State Space Models for Official Statistics9
The Helsinki Bike-Sharing System—Insights Gained from a Spatiotemporal Functional Model8
Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data8
Multilevel Time Series Modelling of Mobility Trends in the Netherlands for Small Domains8
A Bayesian Structural Time Series Analysis of the Effect of Basic Income on Crime: Evidence From the Alaska Permanent Fund8
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models8
Transnational Machine Learning with Screens for Flagging Bid-Rigging Cartels7
The Impact of Using the Web in a Mixed-Mode Follow-up of a Longitudinal Birth Cohort Study: Evidence from the National Child Development Study7
Linkage-Data Linear Regression7
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 Authorities7
From German Internet Panel to Mannheim Corona Study: Adaptable probability-based online panel infrastructures during the pandemic7
Personalised need of Care in an Ageing Society: The Making of a Prediction Tool Based on Register Data7
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain7
Is Facebook’s Advertising Data Accurate Enough for Use in Social Science Research? Insights from a Cross-National Online Survey7
Synthetic Microdata for Establishment Surveys Under Informative Sampling7
The Effects of Question, Respondent and Interviewer Characteristics on Two Types of Item Nonresponse7
Testing for Calibration Discrepancy of Reported Likelihood Ratios in Forensic Science7
The Effects of Health on the Extensive and Intensive Margins of Labour Supply7
Ranking, and Other Properties, of Elite Swimmers Using Extreme Value Theory7
Non-Participation in Smartphone Data Collection Using Research Apps6
Proxy Expenditure Weights for Consumer Price Index: Audit Sampling Inference for Big-Data Statistics6
Power Law in COVID-19 Cases in China6
Analysing Cause-Specific Mortality Trends using Compositional Functional Data Analysis6
Specification and Testing of Hierarchical Ordered Response Models with Anchoring Vignettes6
Removing the Influence of Group Variables in High-Dimensional Predictive Modelling6
A multivariate dynamic statistical model of the global carbon budget 1959–20206
Social and Material Vulnerability in the Face of Seismic Hazard: An Analysis of the Italian Case6
Predicting Individual Effects in Fixed Effects Panel Probit Models6
Trustworthiness of Statistical Inference6
Latent network models to account for noisy, multiply reported social network data5
Multivariate claim count regression model with varying dispersion and dependence parameters5
Bayesian multistate modelling of incomplete chronic disease burden data5
Multiple System Estimation using Covariates having Missing Values and Measurement Error: Estimating the Size of the Māori Population in New Zealand5
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables5
Using Saturated Count Models for User-Friendly Synthesis of Large Confidential Administrative Databases5
Modified Poisson Regression Analysis of Grouped and Right-Censored Counts5
The Design of Replication Studies5
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio5
Missing, Presumed different: Quantifying the risk of Attrition Bias in Education Evaluations5
Transitioning a Panel Survey from in-person to Predominantly Web Data Collection: Results and Lessons Learned5
The Effect of Weather Conditions on Fertilizer Applications: A Spatial Dynamic Panel Data Analysis5
Long-Term Spatial Modelling for Characteristics of Extreme Heat Events5
Using a Responsive Survey Design to Innovate Self-Administered Mixed-Mode Surveys5
Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process5
Measuring the Impact of Clean Energy Production on CO2 Abatement in Denmark: Upper Bound Estimation and Forecasting5
Estimation of Causal Effects with Small Data in the Presence of Trapdoor Variables4
Sparse Temporal Disaggregation4
Using Text Mining to Track Outbreak Trends in Global Surveillance of Emerging Diseases: ProMED-mail4
A Computationally Efficient, High-Dimensional Multiple Changepoint Procedure with Application to Global Terrorism Incidence4
A New Experiment on the use of Images to Answer Web Survey Questions4
On the use of the Reproduction Number for SARS-COV-2: Estimation, Misinterpretations and Relationships with other Ecological Measures4
Model-based clustering for multidimensional social networks4
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation4
Improved Retention Analysis in Freemium Role-Playing games by Jointly Modelling Players’ Motivation, Progression and Churn4
Enhancing (Publications on) Data Quality: Deeper Data Minding and Fuller Data Confession4
Exploiting New Forms of Data to Study the Private Rented Sector: Strengths and Limitations of a Database of Rental Listings4
Beyond Generalization of the ATE: Designing Randomized Trials to Understand Treatment Effect Heterogeneity4
Optimising Precision and Power by Machine Learning in Randomised Trials with Ordinal and Time-to-Event Outcomes with an Application to COVID-194
A COVID-19 Model for Local Authorities of the United Kingdom4
Interactive Web-Based Data Visualization with R, Plotly, and Shiny4
Dynamic Modelling of Mortality Via Mixtures of Skewed Distribution Functions4
Analysing Establishment Survey Non-Response Using Administrative Data and Machine Learning4
On Probability Distributions of the Time Deviation Law of Container Liner Ships Under Interference Uncertainty4
Modelling Non-Linear Age-Period-Cohort Effects and Covariates, With an Application to English Obesity 2001–20144
Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata that Balance Many Covariates3
A Semi-Parametric Approach to Model-Based Sensitivity Analysis in Observational Studies3
A practical revealed preference model for separating preferences and availability effects in marriage formation3
Medical Risk Prediction Models: With Ties to Machine Learning3
A Bayesian Hierarchical Model with Integrated Covariate Selection and Misclassification Matrices to Estimate Neonatal and Child Causes of Death3
A framework for understanding selection bias in real-world healthcare data3
Estimation of the Prevalence of Chronic Kidney Disease in People with Diabetes by Combining Information from Multiple Routine Data Collections3
Linearization and Variance Estimation of the Bonferroni Inequality Index3
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse3
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 Simple Framework to Identify Optimal Cost-Effective Risk Thresholds for a Single Screen: Comparison to Decision Curve Analysis3
From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks3
Mapping Ex Ante Risks of COVID-19 in Indonesia using a Bayesian Geostatistical Model on Airport Network Data3
Comparing the Real-World Performance of Exponential-Family Random Graph Models and Latent Order Logistic Models for Social Network Analysis3
An experimental evaluation of a stopping rule aimed at maximizing cost-quality trade-offs in surveys3
Regression Analysis in R: A Comprehensive View for the Social Sciences3
Quantifying Longevity Gaps Using Micro-Level Lifetime Data3
Author’s reply to the Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer3
Does Stop and Search Reduce Crime? Evidence from Street-Level Data and a Surge in Operations Following a High-Profile Crime3
Machine Learning Approaches to Identify Thresholds in a Heat-Health Warning System Context3
Assessing the Effect of School Closures on the Spread of COVID-19 in Zurich3
Cultures as networks of cultural traits: a unifying framework for measuring culture and cultural distances3
Statistical and Econometric Methods for Transportation Data Analysis3
Generating Poisson-Distributed Differentially Private Synthetic Data3
A Decision Support System for Addressing Food Security in the United Kingdom3
A Seasonal Dynamic Measurement Model for Summer Learning Loss3
Pictures Instead of Survey Questions: An Experimental Investigation of the Feasibility of Using Pictures in a Housing Survey3
A Unique Bond: Twin Bereavement and Lifespan Associations of Identical and Fraternal Twins3
Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation3
Intercensal Updating Using Structure-Preserving Methods and Satellite Imagery3
Switching from Telephone to Web-First Mixed-Mode Data Collection: Results from The Transition into Adulthood Supplement to the US Panel Study of Income Dynamics3
Small area estimation under a spatially correlated multivariate area-level model3
Evaluation of Consent to Link Twitter Data to Survey Data2
Measuring economic mobility in India using noisy data: a partial identification approach2
Sample Size Determination for Risk-Based Tax Auditing2
D. R. Cox: aspects of scientific inference2
Univariate, Bivariate and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science2
Functional ANOVA Modelling of Pedestrian Counts on Streets in Three European Cities2
Density-Based Clustering of Social Networks2
Poverty and Inequality Mapping Based on a Unit-Level Log-Normal Mixture Model2
Interpretable sensitivity analysis for balancing weights2
Statistics in Times of Increasing Uncertainty2
Heterogeneity in the US gender wage gap2
Do Coefficients of Variation of Response Propensities Approximate Non-Response Biases During Survey Data Collection?2
The Future of Online Data Collection in Social Surveys: Challenges, Developments and Applications2
Sir David Cox: 1924–20222
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
A Probabilistic Formalisation of Contextual Bias: from Forensic Analysis to Systemic Bias in the Criminal Justice System2
Dynamic latent space relational event model2
Estimating Stochastic Survey Response Errors using the Multitrait-Multierror Model2
Understanding Political News Media Consumption with Digital Trace Data and Natural Language Processing2
A Bayesian decision support system for counteracting activities of terrorist groups2
COVID-19 Clinical Footprint to Infer About Mortality2
Secure Big Data Collection and Processing: Framework, Means and Opportunities2
Incorporating testing volume into estimation of effective reproduction number dynamics2
Spatio-Temporal Mixed Membership Models for Criminal Activity2
An One-Factor Copula Mixed Model for Joint Meta-Analysis of Multiple Diagnostic Tests2
Neural Forecasting of the Italian Sovereign Bond Market with Economic News2
Don't Cross the Line: Bounding the Causal Effect of Hypergamy Violation on Domestic Violence in India2
A system of population estimates compiled from administrative data only2
Estimating Monthly Labour Force Figures During the COVID-19 Pandemic in the Netherlands2
Modelling the large and dynamically growing bipartite network of German patents and inventors2
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates2
Measuring Social Inclusion in Europe: a non-additive approach with the expert-preferences of public policy planners2
Wasserstein barycenter for link prediction in temporal networks2
Measurement error models for spatial network lattice data: Analysis of car crashes in Leeds2
Representativeness in Six Waves of Cross-National Online Survey (CRONOS) Panel2
Life-Course Perspective on Personality Traits and Fertility with Sequence Analysis2
Computationally efficient Bayesian unit-level random neural network modelling of survey data under informative sampling for small area estimation2
Credit Line Exposure at Default Modelling Using Bayesian Mixed Effect Quantile Regression2
Predictors of Becoming not in Education, Employment or Training: A Dynamic Comparison of the Direct and Indirect Determinants2
Relaxing the exclusion restriction in shift-share instrumental variable estimation2
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