OOIR: Observatory of International Research

Papers

(The TQCC of American Statistician 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.)

Article	Citations
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	48
A Review of Adversarial Attack and Defense for Classification Methods	30
A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials	29
Demystifying Statistical Learning Based on Efficient Influence Functions	17
On Deconfounding Spatial Confounding in Linear Models	16
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	15
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	13
Learning Hamiltonian Monte Carlo in R	13
The Cauchy Combination Test under Arbitrary Dependence Structures	10
Statistical Challenges in Agent-Based Modeling	10
A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates	8
Comparing Three Groups	7
Variable Selection With Second-Generation P-Values	7
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	7
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	6
Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications	6
A Practical Approach to Proper Inference with Linked Data	6
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	6
Hurdle Blockmodels for Sparse Network Modeling	6
Hierarchical Spatio-Temporal Change-Point Detection	6
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	5
A Study on the Power Parameter in Power Prior Bayesian Analysis	5
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States	5
When Your Permutation Test is Doomed to Fail	5
On the Power of the F-test for Hypotheses in a Linear Model	5

Semi-Structured Distributional Regression	5
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	5
Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength	4
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	4
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	4
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	4
Improved Approximation and Visualization of the Correlation Matrix	4
Expressing Regret: A Unified View of Credible Intervals	4
Out-of-Sample R ² : Estimation and Inference	4
Pairwise Comparisons Using Ranks in the One-Way Model	4
Spatial Confounding in Generalized Estimating Equations	4
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	4
On Optimal Correlation-Based Prediction	4
Distribution-Free Location-Scale Regression	3
Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data	3
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	3
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	3
Linearity of Unbiased Linear Model Estimators	3
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	3
A Case for Nonparametrics	3
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	3
The State of Play of Reproducibility in Statistics: An Empirical Analysis	3
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	3
Reconstructing the Kaplan–Meier Estimator as an M-estimator	3
SAS for Mixed Models: Introduction and Basic Applications	3
Bayesian-Frequentist Hybrid Inference in Applications with Small Sample Sizes	2
Optimal and Fast Confidence Intervals for Hypergeometric Successes	2
On Arbitrarily Underdispersed Discrete Distributions	2
Bayesian Inference Is Unaffected by Selection: Fact or Fiction?	2
Incorporating Minimum Variances into Weighted Optimality Criteria	2
A Geometric Derivation of the Cantor Distribution	2
Publication Policies for Replicable Research and the Community-Wide False Discovery Rate	2
Using Differentiable Programming for Flexible Statistical Modeling	2
Inference in Experiments Conditional on Observed Imbalances in Covariates	2
Pseudo-Ranks: The Better Way of Ranking?	2
Quantifying the Inspection Paradox with Random Time	2
The “Poisson” Distribution: History, Reenactments, Adaptations	2
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction	2
Evidential Calibration of Confidence Intervals	2
Parole Board Decision-Making using Adversarial Risk Analysis	2
Spatio-Temporal Statistics With R.	2
Comment on “Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression,” by Rohlfs (2023)	2
The Model Thinker: What You Need to Know to Make Data Work for You	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	2
Pairwise Independence May Not Imply Independence: New Illustrations and a Generalization	2
Coherent Tests for Interval Null Hypotheses	2
“Two Truths and a Lie” as a Class-Participation Activity	2
From One Environment to Many: The Problem of Replicability of Statistical Inferences	2
Causal Quartets: Different Ways to Attain the Same Average Treatment Effect	2

Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	2
The Wald Confidence Interval for a Binomial p as an Illuminating “Bad” Example	2