Stat

Papers
(The TQCC of Stat 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Methods for building a staff workforce of quantitative scientists in academic health care31
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error15
Semi‐parametric generalized linear model for binomial data with varying cluster sizes13
Spatial dynamic panel models with missing data10
Bayesian hierarchical modeling on covariance valued data10
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data8
Advice for isolated statisticians collaborating in academic healthcare centre settings8
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics8
Higher order asymptotic refinements in Bell regressions8
Community detection in attributed collaboration network for statisticians7
Considerations in developing a financial model for an academic statistical consulting centre7
Construction of Some Families of Asymmetric Column‐Orthogonal Designs7
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression7
A Corrected Score Function Framework for Modelling Circadian Gene Expression6
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns6
Trend filtering for functional data6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations6
Documenting and communicating the contributions of embedded statisticians: Show me the value!6
A general approximation to nested Bayes factors with informed priors6
Statistical learning for predicting density–matrix‐based electron dynamics6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries5
Some non‐parametric regression models for interval‐valued functional data5
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions5
Multivariate differential association analysis4
Similarity‐based clustering for patterns of extreme values4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials4
Computational Efficient General Convolutional Layer Selection for Transfer Learning4
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning4
Allocation of COVID‐19 testing budget on a commute network of counties4
Using sliced inverse mean difference for dimension reduction in multivariate time series4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan4
An integral model for high‐accuracy and low‐accuracy experiments4
Nonparanormal graph quilting with applications to calcium imaging4
Issue Information4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science4
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations3
On the effect of rounding on hypothesis testing when sample size is large3
Beta regression for double‐bounded response with correlated high‐dimensional covariates3
Model averaging estimation for generalized partially linear varying‐coefficient models3
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Issue Information3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion3
Mixture of Partially Linear Experts3
An asymptotic threshold of sufficient randomness for causal inference3
A note on universal inference3
Bayesian group sequential designs for cluster‐randomized trials3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach3
A comparative analysis of contractual risks in statistical consulting3
Determining Spatial Correlation Structure Using a Flexible Method3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications3
A learning analytics case study: On class sizes in undergraduate writing courses3
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution3
Improving image classification robustness using self‐supervision3
On the dissipation of ideal Hamiltonian Monte Carlo sampler3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations3
Improved Variance Estimation From Trimmed Samples3
A spectral approach for the dynamic Bradley–Terry model3
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously2
Bias analysis of generalized estimating equations under measurement error and practical bias correction2
Variational inference for the latent shrinkage position model2
New bounds and search for maximin distance U‐type designs2
Parametric nonstationary covariance functions on spheres2
Reducing the statistical error of generative adversarial networks using space‐filling sampling2
Fallacy of data‐selective inference in modelling networks2
Survival Conformal Prediction Under Random Censoring2
New mixed ranked set sampling variations2
Optimal non‐circular designs for interference models2
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis2
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach2
The Grouped Horseshoe Distribution and Its Statistical Properties2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching2
The data science discovery program: A model for data science consulting in higher education2
Orthogonal designs with branching and nested factors2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises2
Statistical inference on group Rasch mixture network models2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets2
Subgroup Mediation Analysis2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters2
A spatially adaptive large‐scale multiple‐testing procedure2
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Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models2
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach2
Efficient basis selection for smoothing splines via rotated lattices2
A multivariate normal approximation for the Dirichlet density and some applications2
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson2
Does a Large Language Model Really Speak in Human‐Like Language?2
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A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution2
Locally Robust Alignment Between Distinct Spaces2
Composite smoothed quantile regression2
On the construction of nested orthogonal arrays with the adjacent numbers of levels2
Softplus negative binomial network autoregression2
A note about why deep learning is deep: A discontinuous approximation perspective2
Tell your story: Metrics of success for academic data science collaboration and consulting programs2
Learning about an academic statistical consulting center through data2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises2
Structure recovery and trend estimation for dynamic network analysis2
Significance of modes in the torus by topological data analysis2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
A single index model for longitudinal outcomes to optimize individual treatment decision rules2
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