Journal of the American Statistical Association

Article	Citations
The Augmented Synthetic Control Method	120
Matrix Completion Methods for Causal Panel Data Models	113
A New Coefficient of Correlation	92
A Penalized Synthetic Control Estimator for Disaggregated Data	63
Robust Post-Matching Inference	49
Count Time Series: A Methodological Review	49
Stochastic Gradient Markov Chain Monte Carlo	47
Graphical Models for Processing Missing Data	46
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data	43
Separable Effects for Causal Inference in the Presence of Competing Events	41
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks	41
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	39
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data	39
Cross-Validation: What Does It Estimate and How Well Does It Do It?	38
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies	32
Communication-Efficient Accurate Statistical Estimation	30
Factor Models for High-Dimensional Tensor Time Series	29
Model-Free Feature Screening and FDR Control With Knockoff Features	28
What are the Most Important Statistical Ideas of the Past 50 Years?	27
Hierarchical Community Detection by Recursive Partitioning	26
Integrating Multisource Block-Wise Missing Data in Model Selection	26
A Multiple-Testing Procedure for High-Dimensional Mediation Hypotheses	26
Auto-G-Computation of Causal Effects on a Network	25
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation	25
Estimating Mixed Memberships With Sharp Eigenvector Deviations	24

Bayesian Projected Calibration of Computer Models	23
Restricted Spatial Regression Methods: Implications for Inference	23
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs	23
A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity	23
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs	22
Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models	22
Estimating Number of Factors by Adjusted Eigenvalues Thresholding	22
On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments	22
Prediction Intervals for Synthetic Control Methods	21
Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments	21
Learning When-to-Treat Policies	21
High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition	21
Selective Inference for Hierarchical Clustering	20
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models	20
A Tuning-free Robust and Efficient Approach to High-dimensional Regression	20
Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies	20
Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates	19
Variational Bayes for High-Dimensional Linear Regression With Sparse Priors	19
Doubly Robust Estimation of Optimal Dosing Strategies	19
Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior	19
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation	18
Random Forests for Spatially Dependent Data	18
Randomization Tests for Weak Null Hypotheses in Randomized Experiments	18
Network Dependence Can Lead to Spurious Associations and Invalid Inference	18
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation	18
Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models	18
Rare Feature Selection in High Dimensions	17
False Discovery Rate Control via Data Splitting	17
Transfer Learning Under High-Dimensional Generalized Linear Models	17
Learning Optimal Distributionally Robust Individualized Treatment Rules	16
Directed Community Detection With Network Embedding	16
Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health	16
On Robustness of Principal Component Regression	16
Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data	16
Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation	16
The Effects of Stringent and Mild Interventions for Coronavirus Pandemic	15
Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise	15
Optimal Individualized Decision Rules Using Instrumental Variable Methods	15
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	15
Deep Compositional Spatial Models	15
Cross-Validation for Correlated Data	15
Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials	14
Robust Q-Learning	14
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
Mean and Covariance Estimation for Functional Snippets	13
Controlling False Discovery Rate Using Gaussian Mirrors	13
Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models	13
An Invitation to Sequential Monte Carlo Samplers	13
Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models	13

Inference in Experiments With Matched Pairs	13
The Generalized Oaxaca-Blinder Estimator	13
Random Partition Models for Microclustering Tasks	13
Incorporating Animal Movement Into Distance Sampling	12
Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes	12
Privacy-Preserving Parametric Inference: A Case for Robust Statistics	12
Bayesian Structure Learning in Multilayered Genomic Networks	12
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data	12
On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls	12
Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis	12
Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity	12
The Hellinger Correlation	12
Causal Inference for Social Network Data	11
Stochastic Tree Search for Estimating Optimal Dynamic Treatment Regimes	11
Statistical Inference for High-Dimensional Matrix-Variate Factor Models	11
A General Framework for Inference on Algorithm-Agnostic Variable Importance	11
A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models	11
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information	11
Bootstrap Prediction Bands for Functional Time Series	11
Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis	11
Center-Outward R-Estimation for Semiparametric VARMA Models	11
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms	11
Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches	10
Bayesian Joint Modeling of Multiple Brain Functional Networks	10
Community Detection in General Hypergraph Via Graph Embedding	10
Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model	10
Semi-Supervised Linear Regression	10
Threshold Selection in Feature Screening for Error Rate Control	10
Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling	10
Modeling Network Populations via Graph Distances	10
Estimating a Change Point in a Sequence of Very High-Dimensional Covariance Matrices	9
Wasserstein Regression	9
First-Order Newton-Type Estimator for Distributed Estimation and Inference	9
Stochastic Tree Ensembles for Regularized Nonlinear Regression	9
Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data	9
Randomization Tests in Observational Studies With Staggered Adoption of Treatment	9
A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering	9
Optimal Estimation of the Number of Network Communities	9
Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects	9
Online Estimation for Functional Data	9
To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates	9
Derandomizing Knockoffs	9
Causal Bounds for Outcome-Dependent Sampling in Observational Studies	9
Inferring Phenotypic Trait Evolution on Large Trees With Many Incomplete Measurements	9
Uniform Projection Designs and Strong Orthogonal Arrays	9
Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing	9
Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts	9
Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes	9
Online Covariance Matrix Estimation in Stochastic Gradient Descent	9
Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing	9
Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation	9
Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression	9
Copula Gaussian Graphical Models for Functional Data	9
A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data	8
Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding	8
Estimation of Subgraph Densities in Noisy Networks	8
Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data	8
High-Dimensional Spatial Quantile Function-on-Scalar Regression	8
On Characterizations and Tests of Benford’s Law	8
Eigen Selection in Spectral Clustering: A Theory-Guided Practice	8
Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA	8
Online Debiasing for Adaptively Collected High-Dimensional Data With Applications to Time Series Analysis	8
Statistical Inference for Online Decision Making via Stochastic Gradient Descent	8
Sensitivity Analysis via the Proportion of Unmeasured Confounding	8
A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, With Error Rate Control	8
Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models	8
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs	8
Forecasting Unemployment Using Internet Search Data via PRISM	8
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases	8
Model-Assisted Estimation Through Random Forests in Finite Population Sampling	8
LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing	8
Integrative Factor Regression and Its Inference for Multimodal Data Analysis	7
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations	7
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data	7
Matching on Generalized Propensity Scores with Continuous Exposures	7
Inference of Breakpoints in High-dimensional Time Series	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
Linear-Cost Covariance Functions for Gaussian Random Fields	7
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing	7

On the Hauck–Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization	7
Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach	7
Multiscale Quantile Segmentation	7
Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments	7
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework	7
Testing Mediation Effects Using Logic of Boolean Matrices	7
Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data	7
More Efficient Policy Learning via Optimal Retargeting	7
A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism	7
Experimental Evaluation of Individualized Treatment Rules	7
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas	7
Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks	7
Generalized Bayes Quantification Learning under Dataset Shift	7
Policy Optimization Using Semiparametric Models for Dynamic Pricing	7
Multifile Partitioning for Record Linkage and Duplicate Detection	7
Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules	7
A Gibbs Sampler for a Class of Random Convex Polytopes	7
Grouped Heterogeneous Mixture Modeling for Clustered Data	7
Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression	7
Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control	7
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults	6
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff	6
Personalized Policy Learning Using Longitudinal Mobile Health Data	6
Low-Rank Covariance Function Estimation for Multidimensional Functional Data	6
A Semiparametric Approach to Model Effect Modification	6
Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring	6
Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study	6
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction	6
On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models	6
Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease	6
Bayesian Bootstrap Spike-and-Slab LASSO	6
Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure	6
Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data	6
Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes	6
Single-index Thresholding in Quantile Regression	6
Thirty Years of The Network Scale-up Method	6
Network Functional Varying Coefficient Model	6
Rerandomization in Stratified Randomized Experiments	6
A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks	6
Adaptive Inference for Change Points in High-Dimensional Data	6
Statistical Inference for Online Decision Making: In a Contextual Bandit Setting	6
Inference for High-Dimensional Exchangeable Arrays	6
Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n , Large p ” Bayesian Sparse Regression	6
Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures with Application to Single Cell Genomics	6
Kernel Ordinary Differential Equations	6
Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia	6
Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data	6
Approximate Selective Inference via Maximum Likelihood	6
A Mode-Jumping Algorithm for Bayesian Factor Analysis	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
Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments	6
Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies	6
Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing	6
Neuronized Priors for Bayesian Sparse Linear Regression	6
Functional Time Series Prediction Under Partial Observation of the Future Curve	6
Learning Latent Factors From Diversified Projections and Its Applications to Over-Estimated and Weak Factors	6
Latent Gaussian Count Time Series	6
Assumption-Lean Cox Regression	6
Fast Network Community Detection With Profile-Pseudo Likelihood Methods	6