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 2020-04-01 to 2024-04-01.)

Article	Citations
Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ	27
Feature Engineering and Selection: A Practical Approach for Predictive Models	27
A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials	23
Applications of the Fractional-Random-Weight Bootstrap	20
A Review of Adversarial Attack and Defense for Classification Methods	16
A Survey of Bias in Machine Learning Through the Prism of Statistical Parity	15
A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures	14
Learning Hamiltonian Monte Carlo in R	12
Demystifying Statistical Learning Based on Efficient Influence Functions	10
On Deconfounding Spatial Confounding in Linear Models	9
Statistical Challenges in Agent-Based Modeling	8
The Cauchy Combination Test under Arbitrary Dependence Structures	7
Analytical Problem Solving Based on Causal, Correlational and Deductive Models	7
Null Hypothesis Significance Testing Interpreted and Calibrated by Estimating Probabilities of Sign Errors: A Bayes-Frequentist Continuum	7
Decision-Theoretic Hypothesis Testing: A Primer With R Package OptSig	6
Improving Effect Estimates by Limiting the Variability in Inverse Propensity Score Weights	6
Statistical Guidance to Authors at Top-Ranked Journals across Scientific Disciplines	6
Hurdle Blockmodels for Sparse Network Modeling	6
A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates	6
A Study on the Power Parameter in Power Prior Bayesian Analysis	5
Comparing Three Groups	5
Integrating Ethics into the Guidelines for Assessment and Instruction in Statistics Education (GAISE)	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
Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications	5
Variable Selection With Second-Generation P-Values	5

A Practical Approach to Proper Inference with Linked Data	4
On Optimal Correlation-Based Prediction	4
Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength	4
Expressing Regret: A Unified View of Credible Intervals	4
Hierarchical Spatio-Temporal Change-Point Detection	4
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology	4
A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses	4
On the Power of the F-test for Hypotheses in a Linear Model	4
A Statistical Basis for Reporting Strength of Evidence as Pool Reduction	3
Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities	3
Likelihood-Free Parameter Estimation with Neural Bayes Estimators	3
The Current State of Undergraduate Bayesian Education and Recommendations for the Future	3
Pairwise Comparisons Using Ranks in the One-Way Model	3
Spatial Confounding in Generalized Estimating Equations	3
Going Viral, Binge-Watching, and Attention Cannibalism	3
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics	3
From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression	3
R Markdown: The Definitive Guide	3
The State of Play of Reproducibility in Statistics: An Empirical Analysis	3
Semi-Structured Distributional Regression	3
Computing (Bivariate) Poisson Moments Using Stein–Chen Identities	3
Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022)	3
Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022)	3
Optimal and Fast Confidence Intervals for Hypergeometric Successes	2
Coherent Tests for Interval Null Hypotheses	2
The Exact Form of the “Ockham Factor” in Model Selection	2
From One Environment to Many: The Problem of Replicability of Statistical Inferences	2
Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin	2
A Case for Nonparametrics	2
The 9 Pitfalls of Data Science	2
When Your Permutation Test is Doomed to Fail	2
The “Poisson” Distribution: History, Reenactments, Adaptations	2
On Arbitrarily Underdispersed Discrete Distributions	2
A Geometric Derivation of the Cantor Distribution	2
Assignment-Control Plots: A Visual Companion for Causal Inference Study Design	2
Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models	2
Using Differentiable Programming for Flexible Statistical Modeling	2
Inference in Experiments Conditional on Observed Imbalances in Covariates	2
SAS for Mixed Models: Introduction and Basic Applications	2
Bayesian Inference Is Unaffected by Selection: Fact or Fiction?	2
“Two Truths and a Lie” as a Class-Participation Activity	2
Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests	2
Spatio-Temporal Statistics With R.	2
Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data	2
COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers	2
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring	2