Journal of the American Statistical Association

Article	Citations
The Augmented Synthetic Control Method	116
Matrix Completion Methods for Causal Panel Data Models	105
Prediction, Estimation, and Attribution	88
A New Coefficient of Correlation	86
A Penalized Synthetic Control Estimator for Disaggregated Data	57
Count Time Series: A Methodological Review	46
Robust Post-Matching Inference	45
Stochastic Gradient Markov Chain Monte Carlo	44
Graphical Models for Processing Missing Data	44
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data	42
Separable Effects for Causal Inference in the Presence of Competing Events	38
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks	37
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	36
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	34
Cross-Validation: What Does It Estimate and How Well Does It Do It?	33
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies	30
Communication-Efficient Accurate Statistical Estimation	28
Model-Free Feature Screening and FDR Control With Knockoff Features	26
Integrating Multisource Block-Wise Missing Data in Model Selection	26
Auto-G-Computation of Causal Effects on a Network	25
Factor Models for High-Dimensional Tensor Time Series	25
Estimating Mixed Memberships With Sharp Eigenvector Deviations	24
What are the Most Important Statistical Ideas of the Past 50 Years?	24
A Multiple-Testing Procedure for High-Dimensional Mediation Hypotheses	24
Bayesian Projected Calibration of Computer Models	23

Hierarchical Community Detection by Recursive Partitioning	23
Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models	23
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation	23
Restricted Spatial Regression Methods: Implications for Inference	22
A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity	22
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs	22
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs	21
Estimating Number of Factors by Adjusted Eigenvalues Thresholding	21
Prediction Intervals for Synthetic Control Methods	20
On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments	20
A Tuning-free Robust and Efficient Approach to High-dimensional Regression	20
Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments	20
Learning When-to-Treat Policies	20
Bayesian Factor Analysis for Inference on Interactions	19
Variational Bayes for High-Dimensional Linear Regression With Sparse Priors	19
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models	19
Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates	19
Doubly Robust Estimation of Optimal Dosing Strategies	19
Randomization Tests for Weak Null Hypotheses in Randomized Experiments	18
False Discovery Rate Control via Data Splitting	18
Selective Inference for Hierarchical Clustering	18
Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior	18
High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition	18
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation	17
Random Forests for Spatially Dependent Data	17
Network Dependence Can Lead to Spurious Associations and Invalid Inference	17
Inference on Selected Subgroups in Clinical Trials	17
Rare Feature Selection in High Dimensions	17
Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies	17
Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data	16
Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise	16
Learning Optimal Distributionally Robust Individualized Treatment Rules	16
Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models	16
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation	16
Optimal Individualized Decision Rules Using Instrumental Variable Methods	15
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	15
On Robustness of Principal Component Regression	15
Transfer Learning Under High-Dimensional Generalized Linear Models	15
Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health	15
Directed Community Detection With Network Embedding	15
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	15
Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment	14
AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories	14
Deep Compositional Spatial Models	14
The Effects of Stringent and Mild Interventions for Coronavirus Pandemic	14
Robust Q-Learning	14
Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models	13
The Generalized Oaxaca-Blinder Estimator	13
Cross-Validation for Correlated Data	13
Controlling False Discovery Rate Using Gaussian Mirrors	13

Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	12
Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis	12
Inference in Experiments With Matched Pairs	12
Mean and Covariance Estimation for Functional Snippets	12
Bayesian Structure Learning in Multilayered Genomic Networks	12
On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls	12
Random Partition Models for Microclustering Tasks	12
Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis	11
A General Framework for Inference on Algorithm-Agnostic Variable Importance	11
Causal Inference for Social Network Data	11
The Hellinger Correlation	11
Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models	11
Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes	11
Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials	11
Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes	11
Incorporating Animal Movement Into Distance Sampling	11
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information	11
Community Detection in General Hypergraph Via Graph Embedding	11
A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models	11
An Invitation to Sequential Monte Carlo Samplers	11
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms	11
Bootstrap Prediction Bands for Functional Time Series	11
Threshold Selection in Feature Screening for Error Rate Control	10
Center-Outward R-Estimation for Semiparametric VARMA Models	10
Bayesian Joint Modeling of Multiple Brain Functional Networks	10
Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches	10
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data	10
Modeling Network Populations via Graph Distances	10
Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model	10
A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis	10
Online Estimation for Functional Data	9
Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data	9
Causal Bounds for Outcome-Dependent Sampling in Observational Studies	9
Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling	9
A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	9
Wasserstein Regression	9
Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing	9
Privacy-Preserving Parametric Inference: A Case for Robust Statistics	9
On the Length of Post-Model-Selection Confidence Intervals Conditional on Polyhedral Constraints	9
Semi-Supervised Linear Regression	9
Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects	9
Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes	9
Derandomizing Knockoffs	9
Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation	9
Inferring Phenotypic Trait Evolution on Large Trees With Many Incomplete Measurements	9
Copula Gaussian Graphical Models for Functional Data	9
Uniform Projection Designs and Strong Orthogonal Arrays	8
High-Dimensional Spatial Quantile Function-on-Scalar Regression	8
Model-Assisted Estimation Through Random Forests in Finite Population Sampling	8
A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data	8
Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing	8
Stochastic Tree Ensembles for Regularized Nonlinear Regression	8
Online Covariance Matrix Estimation in Stochastic Gradient Descent	8
Statistical Inference for High-Dimensional Matrix-Variate Factor Models	8
On Characterizations and Tests of Benford’s Law	8
LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing	8
Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits	8
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs	8
First-Order Newton-Type Estimator for Distributed Estimation and Inference	8
To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates	8
Randomization Tests in Observational Studies With Staggered Adoption of Treatment	8
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases	8
A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, With Error Rate Control	8
Optimal Estimation of the Number of Network Communities	8
Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models	8
Estimating a Change Point in a Sequence of Very High-Dimensional Covariance Matrices	8
Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts	8
Online Debiasing for Adaptively Collected High-Dimensional Data With Applications to Time Series Analysis	8
Estimation of Subgraph Densities in Noisy Networks	8
Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding	7
Integrative Factor Regression and Its Inference for Multimodal Data Analysis	7
Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments	7
Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks	7
Policy Optimization Using Semiparametric Models for Dynamic Pricing	7
Matching on Generalized Propensity Scores with Continuous Exposures	7
LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures	7
A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies	7
Grouped Heterogeneous Mixture Modeling for Clustered Data	7
Experimental Evaluation of Individualized Treatment Rules	7
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas	7

Forecasting Unemployment Using Internet Search Data via PRISM	7
Statistical Inference for Online Decision Making via Stochastic Gradient Descent	7
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations	7
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data	7
Sensitivity Analysis via the Proportion of Unmeasured Confounding	7
Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data	7
More Efficient Policy Learning via Optimal Retargeting	7
Testing Mediation Effects Using Logic of Boolean Matrices	7
Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression	7
Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level	7
Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach	7
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data	7
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	7
Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression	7
A Gibbs Sampler for a Class of Random Convex Polytopes	7
Eigen Selection in Spectral Clustering: A Theory-Guided Practice	7
Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA	7
Inference for High-Dimensional Exchangeable Arrays	6
Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data	6
Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia	6
Learning Latent Factors From Diversified Projections and Its Applications to Over-Estimated and Weak Factors	6
A Mode-Jumping Algorithm for Bayesian Factor Analysis	6
Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules	6
A Semiparametric Approach to Model Effect Modification	6
A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks	6
Linear-Cost Covariance Functions for Gaussian Random Fields	6
Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies	6
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	6
Neuronized Priors for Bayesian Sparse Linear Regression	6
Generalized Bayes Quantification Learning under Dataset Shift	6
Latent Gaussian Count Time Series	6
Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes	6
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff	6
Thirty Years of The Network Scale-up Method	6
Low-Rank Covariance Function Estimation for Multidimensional Functional Data	6
Personalized Policy Learning Using Longitudinal Mobile Health Data	6
Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments	6
Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring	6
Statistical Inference for Online Decision Making: In a Contextual Bandit Setting	6
On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization	6
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures with Application to Single Cell Genomics	6
Multiscale Quantile Segmentation	6
Single-index Thresholding in Quantile Regression	6
Variable Selection Via Thompson Sampling	6
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer	6
Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications to Whole Genome Association Studies	6
A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism	6
Inference of Breakpoints in High-dimensional Time Series	6
Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study	6
Adaptive Inference for Change Points in High-Dimensional Data	6
Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n , Large p ” Bayesian Sparse Regression	6
Kernel Knockoffs Selection for Nonparametric Additive Models	5
Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure	5
BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons	5
RaSE: A Variable Screening Framework via Random Subspace Ensembles	5
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults	5
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	5
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing	5
Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data	5
Distributional (Single) Index Models	5
On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models	5
High-Dimensional Precision Medicine From Patient-Derived Xenografts	5
Nonlinear Spectral Analysis: A Local Gaussian Approach	5
Matching One Sample According to Two Criteria in Observational Studies	5
Regression Discontinuity Designs With a Continuous Treatment	5
Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort	5
Conditional Separable Effects	5
Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface	5
Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach	5
Modeling High-Dimensional Time Series: A Factor Model With Dynamically Dependent Factors and Diverging Eigenvalues	5
Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding	5
Estimation of Low Rank High-Dimensional Multivariate Linear Models for Multi-Response Data	5
Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis	5
Multifile Partitioning for Record Linkage and Duplicate Detection	5
Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing	5
Filtering the Rejection Set While Preserving False Discovery Rate Control	5
Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data	5
Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing	5
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models	5
Bayesian Bootstrap Spike-and-Slab LASSO	5
Distribution-Free Multisample Tests Based on Optimal Matchings With Applications to Single Cell Genomics	5
Model-Free Conditional Feature Screening with FDR Control	5
An Automated Approach to Causal Inference in Discrete Settings	5
Heteroscedasticity-Robust Inference in Linear Regression Models With Many Covariates	5
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	5
Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control	5
Inference on a New Class of Sample Average Treatment Effects	5
Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data	5
Rerandomization in Stratified Randomized Experiments	5
Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates	5
Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies	5
Functional Time Series Prediction Under Partial Observation of the Future Curve	5
Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization	5
Kernel Ordinary Differential Equations	5