Statistics in Medicine

Article	Citations
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization	273
Minimum sample size for external validation of a clinical prediction model with a binary outcome	150
Evaluation of various estimators for standardized mean difference in meta‐analysis	103
Pleiotropy robust methods for multivariable Mendelian randomization	97
Minimum sample size for external validation of a clinical prediction model with a continuous outcome	61
Using propensity scores to estimate effects of treatment initiation decisions: State of the science	60
Win odds: An adaptation of the win ratio to include ties	42
Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome	41
A modified self‐controlled case series method for event‐dependent exposures and high event‐related mortality, with application to COVID‐19 vaccine safety	41
Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1	41
A comparison of different methods to adjust survival curves for confounders	39
Bayesian workflow for disease transmission modeling in Stan	36
Estimating heterogeneous survival treatment effect in observational data using machine learning	35
Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks	34
Twenty years since Joinpoint 1.0: Two major enhancements, their justification, and impact	33
Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial	33
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint	31
An overview and critique of the use of cumulative sum methods with surgical learning curve data	31
Monitoring COVID‐19 contagion growth	30
Propensity score weighting for covariate adjustment in randomized clinical trials	28
A note on estimating the Cox‐Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a bin	26
Penalized regression for left‐truncated and right‐censored survival data	26
TITE‐BOIN12: A Bayesian phase I/II trial design to find the optimal biological dose with late‐onset toxicity and efficacy	26
Propensity‐score‐based meta‐analytic predictive prior for incorporating real‐world and historical data	26
Nowcasting COVID‐19 incidence indicators during the Italian first outbreak	24

Propensity score weighting for causal subgroup analysis	23
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model	23
Deep reinforcement learning for personalized treatment recommendation	22
Point estimation for adaptive trial designs I: A methodological review	22
Bayesian survival analysis with BUGS	22
Transporting experimental results with entropy balancing	22
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods	21
Propensity score methods for observational studies with clustered data: A review	21
Analysis of stepped wedge cluster randomized trials in the presence of a time‐varying treatment effect	20
A simplified stochastic EM algorithm for cure rate model with negative binomial competing risks: An application to breast cancer data	20
Developing more generalizable prediction models from pooled studies and large clustered data sets	20
Bayesian semiparametricmeta‐analytic‐predictiveprior for historical control borrowing in clinical trials	20
Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score	19
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis	19
Bayesian model‐averaged meta‐analysis in medicine	19
Simultaneous modeling of Alzheimer's disease progression via multiple cognitive scales	18
Mediation effect selection in high‐dimensional and compositional microbiome data	18
The statistical properties of RCTs and a proposal for shrinkage	18
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes	17
A two‐way flexible generalized gamma transformation cure rate model	17
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models	17
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity	16
Precision Bayesian phase I‐II dose‐finding based on utilities tailored to prognostic subgroups	16
A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies	16
Selecting the model for multiple imputation of missing data: Just use an IC!	16
Differential expression of single‐cell RNA‐seq data using Tweedie models	16
Conflating marginal and conditional treatment effects: Comments on “Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study”	16
A two‐stage prediction model for heterogeneous effects of treatments	15
Multithreshold change plane model: Estimation theory and applications in subgroup identification	15
Avoiding bias in self‐controlled case series studies of coronavirus disease 2019	15
A Bayesian modified Ising model for identifying spatially variable genes from spatial transcriptomics data	15
Estimation and modeling of the restricted mean time lost in the presence of competing risks	15
Functional principal component analysis for longitudinal data with informative dropout	14
Confidence intervals for difference in proportions for matched pairs compatible with exact McNemar's or sign tests	14
Contamination: How much can an individually randomized trial tolerate?	14
Generalizing randomized trial findings to a target population using complex survey population data	14
Raking and regression calibration: Methods to address bias from correlated covariate and time‐to‐event error	14
Adjusted logistic propensity weighting methods for population inference using nonprobabilityvolunteer‐basedepidemiologic cohorts	14
On the properties of the toxicity index and its statistical efficiency	14
Bayesian kernel machine regression‐causal mediation analysis	14
Sampling‐based estimation for massive survival data with additive hazards model	14
Progression models for repeated measures: Estimating novel treatment effects in progressive diseases	13
Measuring the performance of prediction models to personalize treatment choice	13
Translating questions to estimands in randomized clinical trials with intercurrent events	13
Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models	13
Assessing vaccine durability in randomized trials following placebo crossover	13
Subgroup analysis in the heterogeneous Cox model	13
Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy	13
District‐level estimation of vaccination coverage: Discrete vs continuous spatial models	13
Pitfalls of the concordance index for survival outcomes	13

Using principal stratification in analysis of clinical trials	12
Bayesian variable selection with a pleiotropic loss function in Mendelian randomization	12
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond	12
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data	12
Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation	12
How large should the next study be? Predictive power and sample size requirements for replication studies	12
Prospective individual patient data meta‐analysis: Evaluating convalescent plasma for COVID‐19	12
Sample size formula for a win ratio endpoint	12
Bayesian variable selection for understanding mixtures in environmental exposures	11
Deep learning for the dynamic prediction of multivariate longitudinal and survival data	11
Design and analysis of three‐arm parallel cluster randomized trials with small numbers of clusters	11
Geographically weighted generalized Farrington algorithm for rapid outbreak detection over short data accumulation periods	11
A tractable Bayesian joint model for longitudinal and survival data	11
The batched stepped wedge design: A design robust to delays in cluster recruitment	11
Principal component analysis of hybrid functional and vector data	11
Target estimands for population‐adjusted indirect comparisons	11
On a new piecewise regression model with cure rate: Diagnostics and application to medical data	10
Analytical methods for correlated data arising from multicenter hearing studies	10
The reciprocal Bayesian LASSO	10
The length of the receiver operating characteristic curve and the two cutoff Youden index within a robust framework for discovery, evaluation, and cutoff estimation in biomarker studies involving impr	10
Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model	10
On the parameter estimation of Box‐Cox transformation cure model	10
Optimizing subgroup selection in two‐stage adaptive enrichment and umbrella designs	10
Permutation‐based true discovery proportions for functional magnetic resonance imaging cluster analysis	10
Regression analysis for covariate‐adaptive randomization: A robust and efficient inference perspective	10
Window mean survival time	10
Improving main analysis by borrowing information from auxiliary data	10
When should matching be used in the design of cluster randomized trials?	10
Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence	10
Gaussian graphical models with applications to omics analyses	10
Adaptively stacking ensembles for influenza forecasting	10
A forward search algorithm for detecting extreme study effects in network meta‐analysis	10
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification	10
Fusion designs and estimators for treatment effects	10
Adaptive response‐dependent two‐phase designs: Some results on robustness and efficiency	10
Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption	9
Binary genetic algorithm for optimal joinpoint detection: Application to cancer trend analysis	9
Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy	9
Bayesian adaptive design for clinical trials in Duchenne muscular dystrophy	9
Optimal planning of adaptive two‐stage designs	9
Parametric and nonparametric improvements in Bland and Altman's assessment of agreement method	9
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances	9
Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool	9
A unified approach to sample size and power determination for testing parameters in generalized linear and time‐to‐event regression models	9
uTPI: A utility‐based toxicity probability interval design for phase I/II dose‐finding trials	9
A Bayesian‐bandit adaptive design for N‐of‐1 clinical trials	9
Model diagnostics for censored regression via randomized survival probabilities	9
Reclaiming independence in spatial‐clustering datasets: A series of data‐driven spatial weights matrices	9
Joint inference about the AUC and Youden index for paired biomarkers	9
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure	9
Bayesian consensus clustering for multivariate longitudinal data	9
Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population	9
Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators	9
Target estimands for efficient decision making: Response to comments on “Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study”	9
Robust covariance estimation for high‐dimensional compositional data with application to microbial communities analysis	8
Connecting Instrumental Variable methods for causal inference to the Estimand Framework	8
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Confidence interval estimation for treatment effects in cluster randomization trials based on ranks	8
Early completion of phase I cancer clinical trials with Bayesian optimal interval design	8
Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification	8
Adaptive enrichment trials: What are the benefits?	8
Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population	8
On a reparameterization of a flexible family of cure models	8
Bayesian latent factor on image regression with nonignorable missing data	8
Online error rate control for platform trials	8
A comparison of parametric propensityscore‐basedmethods for causal inference with multiple treatments and a binary outcome	8
A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease	8
An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation	8
Multiple imputation and test‐wise deletion for causal discovery with incomplete cohort data	8
A novel estimand to adjust for rescue treatment in randomized clinical trials	8
Household transmission of influenza A and B within a prospective cohort during the 2013‐2014 and 2014‐2015 seasons	8
Choosing clinically interpretable summary measures and robust analytic procedures for quantifying the treatment difference in comparative clinical studies	8
Ratio and difference of average hazard with survival weight: New measures to quantify survival benefit of new therapy	8
Laplacian‐P‐splines for Bayesian inference in the mixture cure model	8
A simulation‐extrapolation approach for regression analysis of misclassified current status data with the additive hazards model	8
Constrained hierarchical Bayesian model for latent subgroups in basket trials with two classifiers	8
Using knockoffs for controlled predictive biomarker identification	8
Confounder selection strategies targeting stable treatment effect estimators	8
Determination of the number of observers needed to evaluate a subjective test and its application in two PD‐L1 studies	8
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping	7

Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval‐censored data	7
Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models	7
A systematic review and evaluation of statistical methods for group variable selection	7
Analyzing categorical time series in the presence of missing observations	7
Computing the polytomous discrimination index	7
On the robustness of latent class models for diagnostic testing with no gold standard	7
Summarizing empirical information on between‐study heterogeneity for Bayesian random‐effects meta‐analysis	7
Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs	7
A Bayesian approach for estimating typhoid fever incidence from large‐scale facility‐based passive surveillance data	7
Borrowing from supplemental sources to estimate causal effects from a primary data source	7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration	7
Spatially informed Bayesian neural network for neurodegenerative diseases classification	7
A guide to regression discontinuity designs in medical applications	7
Propensity score stratification methods for continuous treatments	7
A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros	7
Bayesian modeling of a bivariate toxicity outcome for early phase oncology trials evaluating dose regimens	7
Design and modeling for drug combination experiments with order effects	7
How vague is vague? How informative is informative? Reference analysis for Bayesian meta‐analysis	7
Continuous positive airway pressure adherence trajectories in sleep apnea: Clustering with summed discrete Fréchet and dynamic time warping dissimilarities	7
Measuring association among censored antibody titer data	7
Optimal adaptive promising zone designs	7
Capturing heterogeneity in repeated measures data by fusion penalty	7
Flexible co‐data learning for high‐dimensional prediction	7
Flexible propensity score estimation strategies for clustered data in observational studies	7
Unit information prior for adaptive information borrowing from multiple historical datasets	7
Matching on poset‐based average rank for multiple treatments to compare many unbalanced groups	7
Integrated multiple mediation analysis: A robustness‐specificity trade‐off in causal structure	7
Dealing with confounding in observational studies: A scoping review of methods evaluated in simulation studies with single‐point exposure	7
Bayesian local exchangeability design for phase II basket trials	7
A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions	7
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Estimation of standard deviations and inverse‐variance weights from an observed range	7
AIDS and COVID: A tale of two pandemics and the role of statisticians	7
On the integration of decision trees with mixture cure model	7
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship	7
Network meta‐analysis and random walks	6
Promotion time cure rate model with a neural network estimated nonparametric component	6
Point estimation for adaptive trial designs II: Practical considerations and guidance	6
Bayesian models for aggregate and individual patient data component network meta‐analysis	6
Event‐specific win ratios for inference with terminal and non‐terminal events	6
Semiparametric regression analysis of partly interval‐censored failure time data with application to an AIDS clinical trial	6
Seamless phase I/II design for novel anticancer agents with competing disease progression	6
Is group testing ready for prime‐time in disease identification?	6
Propensity score methods for merging observational and experimental datasets	6
Assessing complier average causal effects from longitudinal trials with multiple endpoints and treatment noncompliance: An application to a study of Arthritis Health Journal	6
Assessment of heterogeneous treatment effect estimation accuracy via matching	6
Communication‐efficient estimation and inference for high‐dimensional quantile regression based on smoothed decorrelated score	6
A multistate survival model of the natural history of cancer using data from screened and unscreened population	6
The optimal design of clinical trials with potential biomarker effects: A novel computational approach	6
Joint analysis of mixed types of outcomes with latent variables	6
A multistate model incorporating estimation of excess hazards and multiple time scales	6
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: A multiply robust approach	6
Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints	6
Bayesian regularization for a nonstationary Gaussian linear mixed effects model	6
A graph convolutional neural network for gene expression data analysis with multiple gene networks	6
Model misspecification in stepped wedge trials: Random effects for time or treatment	6
A calibration approach to transportability and data‐fusion with observational data	6
Risk controlled decision trees and random forests for precision Medicine	6
On the normalized power prior	6
Lasso estimation of hierarchical interactions for analyzing heterogeneity of treatment effect	6
Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes	6
A novel test by combining the maximum and minimum values among a large number of dependent Z‐scores with application to genome wide association study	6
Finite‐sample adjustments in variance estimators for clustered competing risks regression	6
Improving the performance of Bayesian logistic regression model with overdose control in oncology dose‐finding studies	6
Accounting for not‐at‐random missingness through imputation stacking	6
Bayesian methods to compare dose levels with placebo in a small n, sequential, multiple assignment, randomized trial	6
Improved estimation in negative binomial regression	6
Defining and estimating effects in cluster randomized trials: A methods comparison	6
Sample size re‐estimation in clinical trials	6
Bayesian spatial models for voxel‐wise prostate cancer classification using multi‐parametric magnetic resonance imaging data	5
Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model	5
Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefit	5
Landmarking 2.0: Bridging the gap between joint models and landmarking	5
Hypothesis testing procedure for binary and multi‐class F1‐scores in the paired design	5
Stratified proportional win‐fractions regression analysis	5
Statistical inference for the two‐sample problem under likelihood ratio ordering, with application to the ROC curve estimation	5
Scalable algorithms for semiparametric accelerated failure time models in high dimensions	5
Constrained randomization and statistical inference for multi‐arm parallel cluster randomized controlled trials	5
Regression analysis of arbitrarily censored survival data under the proportional odds model	5
A simulation study of disaggregation regression for spatial disease mapping	5
The scale transformed power prior for use with historical data from a different outcome model	5
Two‐wave two‐phase outcome‐dependent sampling designs, with applications to longitudinal binary data	5
Multiple imputation of semi‐continuous exposure variables that are categorized for analysis	5
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model	5
Covariate adjustment in randomized clinical trials with missing covariate and outcome data	5
Assessing reproducibility of high‐throughput experiments in the case of missing data	5
Bayesian penalized cumulative logit model for high‐dimensional data with an ordinal response	5
Longitudinal multivariate normative comparisons	5
Robust estimation and variable selection for the accelerated failure time model	5
A semi‐parametric Bayesian model for semi‐continuous longitudinal data	5
Sample size for partially nested designs and other nested or crossed designs with a continuous outcome when adjusted for baseline	5
Restricted mean survival time regression model with time‐dependent covariates	5
An integrated Bayesian framework for multi‐omics prediction and classification	5
SuRF: A new method for sparse variable selection, with application in microbiome data analysis	5
An alternative formulation of Coxian phase‐type distributions with covariates: Application to emergency department length of stay	5