Statistics and Probability papers

Pofolia’s corpus holds 89 papers from Statistics and Probability (2012–2026), each with a short summary. Below, the 20 most-cited, then the most recently added.

At a glance

• Most cited: lmerTest Package: Tests in Linear Mixed Effects Models (2017, 23,710 citations).
• The 20 papers listed have 171,851 citations between them.
• 11 of the 12 with a known journal quartile appeared in a Q1 journal.
• 7 have a free full text (open access).
• Most frequent journals: Journal of Statistical Software, American Economic Review, Anesthesia & Analgesia.
• Published between 2012 and 2021.

Most cited

Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”. How to read the signals

• lmerTest Package: Tests in Linear Mixed Effects Models

  Journal of Statistical Software · 2017 · Q1 · SJR 3.00 · FWCI 1076.75 · 23,710 citations · Open access

  The lmerTest R package now provides p-values for F and t tests in linear mixed effects models, addressing a common user need for the lme4 package's lmer function.

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• Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

  Psychology Press eBooks · 2014 · FWCI 232.26 · 20,892 citations

  This classic text offers a non-mathematical, applied approach to multiple regression analysis, focusing on verbal-conceptual exposition and practical data analysis for behavioral sciences.

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• emcee: The MCMC Hammer

  Publications of the Astronomical Society of the Pacific · 2013 · Q1 · SJR 2.00 · FWCI 219.66 · 11,975 citations · Open access

  A new Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) called emcee is introduced, offering improved performance and requiring fewer parameters to tune than traditional methods.

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• A Mathematical Theory of Evidence

  Princeton University Press eBooks · 2020 · FWCI 114.25 · 11,892 citations

  This book constructs a new theory of epistemic probability by building on an abstract understanding of how facts are combined, diverging from Dempster's viewpoint by identifying his 'upper and lower probabilities' as fundamental.

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• Applied Multivariate Statistics for the Social Sciences

  2012 · FWCI 147.54 · 10,705 citations

  This is a textbook designed for social science students and researchers who need to apply advanced statistical methods without necessarily developing them.

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• Correlation Coefficients: Appropriate Use and Interpretation

  Anesthesia & Analgesia · 2018 · Q1 · SJR 1.00 · FWCI 341.12 · 10,519 citations

  This tutorial guides researchers and clinicians on the appropriate use and interpretation of correlation coefficients, specifically Pearson and Spearman, to measure associations between variables.

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• brms : An R Package for Bayesian Multilevel Models Using Stan

  Journal of Statistical Software · 2017 · Q1 · SJR 3.00 · FWCI 319.75 · 9,492 citations · Open access

  The brms package in R provides a flexible framework for fitting complex Bayesian multilevel models using the Stan probabilistic programming language.

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• emmeans: Estimated Marginal Means, aka Least-Squares Means

  2017 · 8,335 citations

  The 'emmeans' R package provides a unified framework for obtaining estimated marginal means (EMMs) and performing post-hoc analyses for a wide range of linear, generalized linear, and mixed models.

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• Generalized Additive Models

  2017 · FWCI 110.84 · 8,008 citations

  This book serves as a leading, introductory reference for Generalized Additive Models (GAMs), offering practical examples and software implementation.

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• Stan : A Probabilistic Programming Language

  Journal of Statistical Software · 2017 · Q1 · SJR 3.00 · FWCI 540.93 · 7,425 citations · Open access

  Stan is a new probabilistic programming language designed for specifying statistical models and performing Bayesian inference. It offers full Bayesian inference via advanced Markov chain Monte Carlo methods and penalized maximum likelihood estimates through optimization algorithms.

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• Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

  Geoscientific model development · 2014 · Q1 · SJR 2.00 · FWCI 133.29 · 6,160 citations · Open access

  This paper argues against the proposed avoidance of Root Mean Square Error (RMSE) in favor of Mean Absolute Error (MAE) for model evaluation.

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• Sensitivity Analysis in Observational Research: Introducing the E-Value

  Annals of Internal Medicine · 2017 · Q1 · SJR 2.00 · FWCI 200.14 · 5,818 citations

  The E-value quantifies the minimum strength an unmeasured confounder needs to explain away an observed association in observational studies, offering a standardized way to assess robustness to confounding.

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• Testing Statistical Hypotheses

  Wiley series in probability and statistics · 2021 · 5,240 citations

  This chapter reviews established concepts and results in statistical hypothesis testing, focusing on generalized likelihood ratio tests and conditional tests for situations with nuisance parameters.

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• The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

  PeerJ Computer Science · 2021 · Q2 · FWCI 531.97 · 4,961 citations

  The coefficient of determination (R-squared) is a more informative and truthful metric for evaluating regression analysis than SMAPE, MSE, RMSE, MAE, and MAPE.

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• Regression Models for Categorical Dependent Variables Using Stata

  2014 · FWCI 375.41 · 4,670 citations

  This book serves as a comprehensive guide to regression models for categorical dependent variables, specifically within the Stata software environment.

• Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects

  American Economic Review · 2020 · Q1 · SJR 23.00 · FWCI 322.07 · 4,646 citations

  Standard linear regressions with period and group fixed effects can produce misleading treatment effect estimates, even showing negative coefficients when all underlying effects are positive.

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• A Practitioner’s Guide to Cluster-Robust Inference

  The Journal of Human Resources · 2015 · Q1 · SJR 6.00 · FWCI 344.55 · 4,589 citations

  When data is grouped into clusters, standard statistical error calculations can overestimate precision. This guide explains how to use cluster-robust standard errors for more accurate inference, especially with a large number of clusters.

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• Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

  Statistics in Medicine · 2015 · Q1 · SJR 1.00 · FWCI 121.94 · 4,349 citations · Open access

  A review of recent studies using inverse probability of treatment weighting (IPTW) reveals that most do not formally check for covariate balance after weighting, a critical step for valid causal effect estimation from observational data.

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• STAMP: statistical analysis of taxonomic and functional profiles

  Bioinformatics · 2014 · Q1 · SJR 2.00 · FWCI 110.97 · 4,341 citations · Open access

  STAMP is a new graphical software package designed for statistical analysis of taxonomic and functional profiles, offering hypothesis testing and exploratory plots.

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• Adding It Up: Helping Children Learn Mathematics

  DSpace Biblioteca Universidad de Talca (Universidad de Talca) · 2013 · FWCI 73.30 · 4,124 citations

  This report outlines key components of mathematical proficiency and how students develop it, recommending changes in teaching, curricula, and teacher education for pre-K through 8th grade.

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Recently added

• Optimization of coarsened exact matching through random forest classification

  BMC Medical Research Methodology · 2026 · Q1 · SJR 1.00

  Random forest classification can inform data-driven coarsening rules for Coarsened Exact Matching (CEM), preserving sample size and improving interpretability compared to standard CEM.

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• Fast replica exchange stochastic gradient Langevin dynamics

  Statistical Papers · 2026 · Q2 · 2 citations · Open access

  A new method expedites replica exchange stochastic gradient Langevin dynamics (SGLD) by directly estimating the bias from stochastic gradient estimators, allowing high-temperature chains to be simulated at negligible cost and preserving convergence.

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• Bivariate variable ranking for censored time‐to‐event data via Copula link based additive models

  Statistica Neerlandica · 2026 · Q2 · 1 citations

  A new method ranks variables for two dependent time-to-event outcomes, identifying distinct sets of important covariates for each outcome while accounting for their interdependency.

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• Effect of socioeconomic environment on understanding and producing mathematical vocabulary in preschool children

  Journal of Numerical Cognition · 2026 · Q1 · FWCI 7.81 · 1 citations · Open access

  Preschoolers from disadvantaged neighborhoods (REP+ schools) understood and produced fewer French mathematical terms than peers in regular schools, regardless of age (3-6 years).

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• Rethinking Mean Square Error: Information, Generalized Estimation, and the James–Stein Paradox

  Mathematics · 2026 · Q2 · FWCI 8.01 · 1 citations

  The James–Stein estimator's paradox is resolved by comparing Mean Square Error (MSE) with Lambda-information, showing that Lambda-information, a family-aware criterion, is uniformly maximized by the score, unlike pointwise criteria like MSE.

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• Maximizing the Out-of-Sample Sharpe Ratio

  Operations Research · 2026 · Q1 · SJR 3.00 · 8 citations

  New analytical expressions identify the optimal portfolio on the sample mean-variance efficient frontier to maximize the out-of-sample Sharpe ratio, mitigating estimation risk.

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• Spatially explicit capture–recapture models for relative density

  Ecology · 2026 · Q1 · SJR 1.00 · FWCI 109.34 · 33 citations · Open access

  A new extension to the conditional spatially explicit capture-recapture (SECR) model allows estimation of relative animal density as a function of spatial variables, offering robustness to detection heterogeneity and faster fitting than absolute density models.

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• A New Framework for Estimation of Unconditional Quantile Treatment Effects: The Residualized Quantile Regression (RQR) Model

  Sociological Methodology · 2026 · Q1 · SJR 1.00 · FWCI 23.43 · 30 citations

  A new Residualized Quantile Regression (RQR) model offers unbiased estimation of unconditional quantile treatment effects (QTEs), handling complex data and high-dimensional fixed effects more efficiently than existing methods.

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Journals in this field

The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?

Every journal in Statistics and Probability (Q1–Q4) →

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