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 2020-05-01 to 2024-05-01.)
ArticleCitations
Multilevel Network Meta-Regression for Population-Adjusted Treatment Comparisons59
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 Classifications20
Combining Non-Probability and Probability Survey Samples Through Mass Imputation18
New Statistical Metrics for Multisite Replication Projects17
Health Aid, Governance and Infant Mortality17
Are Epidemic Growth Rates More Informative than Reproduction Numbers?17
The effect of the Brexit Referendum Result on Subjective Well-being17
Causal Inference, Social Networks and Chain Graphs16
On the Interplay of Regional Mobility, Social Connectedness and The Spread of COVID-19 in Germany16
A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student’s Skills15
Linking Surveys and Digital Trace Data: Insights From two Studies on Determinants of Data Sharing Behaviour13
Quantifying Domestic Violence in Times of Crisis: An Internet Search Activity-Based Measure for the COVID-19 Pandemic13
When Zero May Not Be Zero: A Cautionary Note on the Use of Inter-Rater Reliability in Evaluating Grant Peer Review12
Dynamic Survival Prediction Combining Landmarking with a Machine Learning Ensemble: Methodology and Empirical Comparison12
A Comparison of Prior Elicitation Aggregation Using the Classical Method and SHELF11
Interviewer Effects and the Measurement of Financial Literacy10
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
Covariate selection for generalizing experimental results: Application to a large-scale development program in Uganda10
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
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review9
Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data9
Did you Conduct a Sensitivity Analysis? A New Weighting-Based Approach for Evaluations of the Average Treatment Effect for the Treated9
Flexible Instrumental Variable Distributional Regression9
Propensity Score Analysis for a Semi-Continuous Exposure Variable: A Study of Gestational Alcohol Exposure and Childhood Cognition9
A Similarity-Based Approach for Macroeconomic Forecasting8
A Dynamic Factor Model Approach to Incorporate Big Data in State Space Models for Official Statistics8
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths8
Inequality Measurement with Grouped Data: Parametric and Non-Parametric Methods8
Multivariate Hierarchical Analysis of Car Crashes Data Considering a Spatial Network Lattice8
A Bayesian Structural Time Series Analysis of the Effect of Basic Income on Crime: Evidence From the Alaska Permanent Fund8
When Survey Science Met Web Tracking: Presenting an Error Framework for Metered Data8
Fulfilling the Information Need After an Earthquake: Statistical Modelling of Citizen Science Seismic Reports for Predicting Earthquake Parameters in Near Realtime7
Two-Phase Sampling Designs for Data Validation in Settings with Covariate Measurement Error and Continuous Outcome7
Multilevel Time Series Modelling of Mobility Trends in the Netherlands for Small Domains7
A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case7
An Ensemble Method for Early Prediction of Dengue Outbreak7
The Effects of Question, Respondent and Interviewer Characteristics on Two Types of Item Nonresponse7
From German Internet Panel to Mannheim Corona Study: Adaptable probability-based online panel infrastructures during the pandemic7
A Dynamic Choice Model to Estimate the User Cost of Crowding with Large-Scale Transit Data7
Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-197
Network self-exciting point processes to measure health impacts of COVID-197
Proxy Expenditure Weights for Consumer Price Index: Audit Sampling Inference for Big-Data Statistics6
Personalised need of Care in an Ageing Society: The Making of a Prediction Tool Based on Register Data6
A Placebo Design to Detect Spillovers from an Education–Entertainment Experiment in Uganda6
Is Being an only Child Harmful to Psychological Health?: Evidence from an Instrumental Variable Analysis of China's one-child Policy6
Estimation of the Combined Effects of Ageing and Seasonality on Mortality Risk: An Application to Spain6
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 Authorities6
Ranking, and Other Properties, of Elite Swimmers Using Extreme Value Theory6
Trustworthiness of Statistical Inference6
Synthetic Microdata for Establishment Surveys Under Informative Sampling5
Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process5
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
Linkage-Data Linear Regression5
Social and Material Vulnerability in the Face of Seismic Hazard: An Analysis of the Italian Case5
Multilevel longitudinal analysis of social networks5
The Design of Replication Studies5
Using a Responsive Survey Design to Innovate Self-Administered Mixed-Mode Surveys5
Missing, Presumed different: Quantifying the risk of Attrition Bias in Education Evaluations5
A multivariate dynamic statistical model of the global carbon budget 1959–20205
The Helsinki Bike-Sharing System—Insights Gained from a Spatiotemporal Functional Model5
Is Facebook’s Advertising Data Accurate Enough for Use in Social Science Research? Insights from a Cross-National Online Survey5
Innovating the Collection of Open-Ended Answers: The Linguistic and Content Characteristics of Written and Oral Answers to Political Attitude Questions5
Predicting Individual Effects in Fixed Effects Panel Probit Models5
Power Law in COVID-19 Cases in China5
Non-Participation in Smartphone Data Collection Using Research Apps5
The Effects of Health on the Extensive and Intensive Margins of Labour Supply5
Specification and Testing of Hierarchical Ordered Response Models with Anchoring Vignettes5
The Effect of Weather Conditions on Fertilizer Applications: A Spatial Dynamic Panel Data Analysis4
Examining the Causal Mediating Role of Brain Pathology on the Relationship Between Diabetes and Cognitive Impairment: The Cardiovascular Health Study4
On the use of the Reproduction Number for SARS-COV-2: Estimation, Misinterpretations and Relationships with other Ecological Measures4
Estimation of Causal Effects with Small Data in the Presence of Trapdoor Variables4
Expectile Regression for Multi-Category Outcomes with Application to Small Area Estimation of Labour Force Participation4
A New Experiment on the use of Images to Answer Web Survey Questions4
Removing the Influence of Group Variables in High-Dimensional Predictive Modelling4
A Computationally Efficient, High-Dimensional Multiple Changepoint Procedure with Application to Global Terrorism Incidence4
Exploiting New Forms of Data to Study the Private Rented Sector: Strengths and Limitations of a Database of Rental Listings4
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
Transitioning a Panel Survey from in-person to Predominantly Web Data Collection: Results and Lessons Learned4
Latent network models to account for noisy, multiply reported social network data4
Multivariate claim count regression model with varying dispersion and dependence parameters4
On Probability Distributions of the Time Deviation Law of Container Liner Ships Under Interference Uncertainty4
Transnational Machine Learning with Screens for Flagging Bid-Rigging Cartels4
Testing for Calibration Discrepancy of Reported Likelihood Ratios in Forensic Science4
Beyond Generalization of the ATE: Designing Randomized Trials to Understand Treatment Effect Heterogeneity4
Modelling Non-Linear Age-Period-Cohort Effects and Covariates, With an Application to English Obesity 2001–20144
Relational hyperevent models for polyadic interaction networks3
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
Modified Poisson Regression Analysis of Grouped and Right-Censored Counts3
A Semi-Parametric Approach to Model-Based Sensitivity Analysis in Observational Studies3
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models3
Regression Analysis in R: A Comprehensive View for the Social Sciences3
Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment*3
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio3
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
Chloe Krakauer and Kenneth Rice’s Contribution to The Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer3
Analysing Cause-Specific Mortality Trends using Compositional Functional Data Analysis3
Statistical and Econometric Methods for Transportation Data Analysis3
A Decision Support System for Addressing Food Security in the United Kingdom3
Comparing the Real-World Performance of Exponential-Family Random Graph Models and Latent Order Logistic Models for Social Network Analysis3
A COVID-19 Model for Local Authorities of the United Kingdom3
Reconciling reports: modelling employment earnings and measurement errors using linked survey and administrative data3
Author’s reply to the Discussion of ‘Testing by Betting: A Strategy for Statistical and Scientific Communication’ by Glenn Shafer3
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
Quantifying the Economic Response to COVID-19 Mitigations and Death Rates Via Forecasting Purchasing Managers' Indices Using Generalised Network Autoregressive Models with Exogenous Variables3
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
Improved Retention Analysis in Freemium Role-Playing games by Jointly Modelling Players’ Motivation, Progression and Churn3
Long-Term Spatial Modelling for Characteristics of Extreme Heat Events3
Model-based Clustering and Analysis of Life History Data3
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
Sparse Temporal Disaggregation3
Interactive Web-Based Data Visualization with R, Plotly, and Shiny3
Quantifying Longevity Gaps Using Micro-Level Lifetime Data3
Intercensal Updating Using Structure-Preserving Methods and Satellite Imagery3
Spatio-Temporal Mixed Membership Models for Criminal Activity2
Dynamic Modelling of Mortality Via Mixtures of Skewed Distribution Functions2
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
A Bayesian Hierarchical Model with Integrated Covariate Selection and Misclassification Matrices to Estimate Neonatal and Child Causes of Death2
Estimating Monthly Labour Force Figures During the COVID-19 Pandemic in the Netherlands2
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
Linearization and Variance Estimation of the Bonferroni Inequality Index2
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
Density-Based Clustering of Social Networks2
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
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
Sample Size Determination for Risk-Based Tax Auditing2
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Univariate, Bivariate and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science2
Poverty and Inequality Mapping Based on a Unit-Level Log-Normal Mixture Model2
Analysing Establishment Survey Non-Response Using Administrative Data and Machine Learning2
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse2
Interpretable sensitivity analysis for balancing weights2
Cultures as networks of cultural traits: a unifying framework for measuring culture and cultural distances2
Mapping Ex Ante Risks of COVID-19 in Indonesia using a Bayesian Geostatistical Model on Airport Network Data2
Measuring economic mobility in India using noisy data: a partial identification approach2
An experimental evaluation of a stopping rule aimed at maximizing cost-quality trade-offs in surveys2
Optimising Precision and Power by Machine Learning in Randomised Trials with Ordinal and Time-to-Event Outcomes with an Application to COVID-192
A Unique Bond: Twin Bereavement and Lifespan Associations of Identical and Fraternal Twins2
Functional ANOVA Modelling of Pedestrian Counts on Streets in Three European Cities2
A Bayesian decision support system for counteracting activities of terrorist groups2
Life-Course Perspective on Personality Traits and Fertility with Sequence Analysis2
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