OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Science is 1. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Outcome-Wide Longitudinal Designs for Causal Inference: A New Template for Empirical Studies	109
A General Framework for Vecchia Approximations of Gaussian Processes	72
The Box–Cox Transformation: Review and Extensions	51
Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios	45
A Selective Overview of Deep Learning	39
Revisiting the Gelman–Rubin Diagnostic	33
Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons	31
The Dependent Dirichlet Process and Related Models	24
In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference	23
Additive and Multiplicative Effects Network Models	23
Invariance, Causality and Robustness	23
Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning	18
The GENIUS Approach to Robust Mendelian Randomization Inference	17
Convex Relaxation Methods for Community Detection	17
Comparative Study of Differentially Private Data Synthesis Methods	16
Analyzing Stochastic Computer Models: A Review with Opportunities	16
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery	16
Testing Randomness Online	14
Bipartite Causal Inference with Interference	13
Choosing Among Notions of Multivariate Depth Statistics	13
Maximum Likelihood Multiple Imputation: Faster Imputations and Consistent Standard Errors Without Posterior Draws	11
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox	11
Sparse Regression: Scalable Algorithms and Empirical Performance	11
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing	11
Statistical Dependence: Beyond Pearson’s ρ	11

A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach	11
Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks	10
A General Framework for the Analysis of Adaptive Experiments	10
Checking for Prior-Data Conflict Using Prior-to-Posterior Divergences	10
Game-Theoretic Statistics and Safe Anytime-Valid Inference	10
Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations	9
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments	9
A Problem in Forensic Science Highlighting the Differences between the Bayes Factor and Likelihood Ratio	9
LGM Split Sampler: An Efficient MCMC Sampling Scheme for Latent Gaussian Models	8
Matching Methods for Observational Studies Derived from Large Administrative Databases	7
On Estimation and Inference in Latent Structure Random Graphs	7
Symmetrical and Non-symmetrical Variants of Three-Way Correspondence Analysis for Ordered Variables	7
Equitability, Interval Estimation, and Statistical Power	7
A Look at Robustness and Stability of $\ell_{1}$-versus $\ell_{0}$-Regularization: Discussion of Papers by Bertsimas et al. and Hastie et al.	7
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic	6
Aitchison’s Compositional Data Analysis 40 Years on: A Reappraisal	6
Gambler’s Ruin and the ICM	6
On General Notions of Depth for Regression	6
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion	6
Confidence as Likelihood	6
Power Calculations for Replication Studies	5
Statistical Challenges in Tracking the Evolution of SARS-CoV-2	5
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables	5
Additive Bayesian Variable Selection under Censoring and Misspecification	5
The SPDE Approach to Matérn Fields: Graph Representations	5
Network Modeling in Biology: Statistical Methods for Gene and Brain Networks	5
Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study	5
Rejoinder: Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons	4
The Covariate-Adjusted ROC Curve: The Concept and Its Importance, Review of Inferential Methods, and a New Bayesian Estimator	4
Stochastic Approximation: From Statistical Origin to Big-Data, Multidisciplinary Applications	4
Methods to Compute Prediction Intervals: A Review and New Results	4
Being a Public Health Statistician During a Global Pandemic	3
High-Performance Statistical Computing in the Computing Environments of the 2020s	3
Rejoinder: Matching Methods for Observational Studies Derived from Large Administrative Databases	3
Confidence Intervals for Seroprevalence	3
Comment: Stabilizing the Doubly-Robust Estimators of the Average Treatment Effect under Positivity Violations	3
Rejoinder: A Nonparametric Superefficient Estimator of the Average Treatment Effect	3
Discussion of “On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning”	3
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	3
The Poisson Binomial Distribution— Old & New	3
Fano’s Inequality for Random Variables	3
Local scale invariance and robustness of proper scoring rules	3
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers	2
Computing Bayes: From Then ‘Til Now	2
A Statistical Framework for Modern Network Science	2
Intention-to-Treat Comparisons in Randomized Trials	2
Rejoinder: Invariance, Causality and Robustness	2
On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning	2
A Discussion on Practical Considerations with Sparse Regression Methodologies	2
A Generalized Approach to Power Analysis for Local Average Treatment Effects	2

Confidence and Discoveries with E-values	2
Principal Fairness for Human and Algorithmic Decision-Making	2
A Nonparametric Super-Efficient Estimator of the Average Treatment Effect	2
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning	2
Replicability Across Multiple Studies	2
Comment: On the Potential for Misuse of Outcome-Wide Study Designs, and Ways to Prevent It	2
Distributed Bayesian Inference in Massive Spatial Data	2
Laplace’s Theories of Cognitive Illusions, Heuristics and Biases	2
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting	2
Interpreting p-Values and Confidence Intervals Using Well-Calibrated Null Preference Priors	2
Statistical Aspects of the Quantum Supremacy Demonstration	2
Discussion of “Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons”	2
Comment: Settle the Unsettling: An Inferential Models Perspective	2
Khinchin’s 1929 Paper on Von Mises’ Frequency Theory of Probability	2
A New Template for Empirical Studies: From positivity to Positivity	1
Measurement Error Models: From Nonparametric Methods to Deep Neural Networks	1
Comment: Moving Beyond Sets of Probabilities	1
Comment: Response Adaptive Randomization in Practice	1
Commentary on Yu et al.: Opportunities and Challenges for Matching Methods in Large Databases	1
Rejoinder: Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study	1
Comment: Automated Analyses: Because We Can, Does It Mean We Should?	1
Cross-Study Replicability in Cluster Analysis	1
Comment: Clarifying Endogeneous Data Structures and Consequent Modelling Choices Using Causal Graphs	1
A Comparative Tour through the Simulation Algorithms for Max-Stable Processes	1
A Hybrid Scan Gibbs Sampler for Bayesian Models with Latent Variables	1
A Conversation with Tze Leung Lai	1
Bayesian Adaptive Randomization with Compound Utility Functions	1
Approximate Confidence Intervals for a Binomial p—Once Again	1
Distributionally Robust and Generalizable Inference	1
Comment: On Focusing, Soft and Strong Revision of Choquet Capacities and Their Role in Statistics	1
In Praise (and Search) of J. V. Uspensky	1
Approximating Bayes in the 21st Century	1
Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance	1
Comment: Matching Methods for Observational Studies Derived from Large Administrative Databases	1
Comment: A Quarter Century of Methodological Research in Response-Adaptive Randomization	1
Some Perspectives on Inference in High Dimensions	1
Comment: Matching Methods for Observational Studies Derived from Large Administrative Databases	1
Modeling the Occurrence of Events Subject to a Reporting Delay via an EM Algorithm	1
Comment: Diagnostics and Kernel-based Extensions for Linear Mixed Effects Models with Endogenous Covariates	1
Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity	1
Comment: Outcome-Wide Individualized Treatment Strategies	1
A Regression Perspective on Generalized Distance Covariance and the Hilbert–Schmidt Independence Criterion	1
On the Probability That Two Random Integers Are Coprime	1
Modern Variable Selection in Action: Comment on the Papers by HTT and BPV	1
Data Science in a Time of Crisis: Lessons from the Pandemic	1