Statistics in Medicine

Article	Citations
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization	265
Minimum sample size for external validation of a clinical prediction model with a binary outcome	147
Evaluation of various estimators for standardized mean difference in meta‐analysis	101
Pleiotropy robust methods for multivariable Mendelian randomization	94
Minimum sample size for external validation of a clinical prediction model with a continuous outcome	60
Using propensity scores to estimate effects of treatment initiation decisions: State of the science	59
Formulating causal questions and principled statistical answers	54
Balancing vs modeling approaches to weighting in practice	46
Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study	43
Win odds: An adaptation of the win ratio to include ties	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 modified self‐controlled case series method for event‐dependent exposures and high event‐related mortality, with application to COVID‐19 vaccine safety	41
Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome	40
Bayesian workflow for disease transmission modeling in Stan	36
Estimating heterogeneous survival treatment effect in observational data using machine learning	35
A comparison of different methods to adjust survival curves for confounders	34
Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial	33
Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks	32
Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models	31
An overview and critique of the use of cumulative sum methods with surgical learning curve data	31
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint	29
Monitoring COVID‐19 contagion growth	29
Twenty years since Joinpoint 1.0: Two major enhancements, their justification, and impact	29
Genome‐wide association study‐based deep learning for survival prediction	28
Propensity score weighting for covariate adjustment in randomized clinical trials	27

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
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
Penalized regression for left‐truncated and right‐censored survival data	25
Nowcasting COVID‐19 incidence indicators during the Italian first outbreak	24
Propensity score weighting for causal subgroup analysis	23
Bayesian survival analysis with BUGS	22
Point estimation for adaptive trial designs I: A methodological review	22
Deep reinforcement learning for personalized treatment recommendation	21
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods	21
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model	21
Propensity score methods for observational studies with clustered data: A review	20
Developing more generalizable prediction models from pooled studies and large clustered data sets	20
A simplified stochastic EM algorithm for cure rate model with negative binomial competing risks: An application to breast cancer data	20
Bayesian semiparametricmeta‐analytic‐predictiveprior for historical control borrowing in clinical trials	20
Transporting experimental results with entropy balancing	20
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis	19
Bayesian model‐averaged meta‐analysis in medicine	19
Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches	19
Analysis of stepped wedge cluster randomized trials in the presence of a time‐varying treatment effect	19
The statistical properties of RCTs and a proposal for shrinkage	19
Mediation effect selection in high‐dimensional and compositional microbiome data	18
Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score	18
Tumor heterogeneity estimation for radiomics in cancer	17
Simultaneous modeling of Alzheimer's disease progression via multiple cognitive scales	17
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models	17
A two‐way flexible generalized gamma transformation cure rate model	17
Conflating marginal and conditional treatment effects: Comments on “Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study”	16
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity	16
Differential expression of single‐cell RNA‐seq data using Tweedie models	16
Precision Bayesian phase I‐II dose‐finding based on utilities tailored to prognostic subgroups	16
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes	16
Selecting the model for multiple imputation of missing data: Just use an IC!	16
A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies	16
A two‐stage prediction model for heterogeneous effects of treatments	15
Multithreshold change plane model: Estimation theory and applications in subgroup identification	15
Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy	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
A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches	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
Avoiding bias in self‐controlled case series studies of coronavirus disease 2019	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
An efficient variance estimator of AUC and its applications to binary classification	14
Bayesian kernel machine regression‐causal mediation analysis	14
Sampling‐based estimation for massive survival data with additive hazards model	14
Contamination: How much can an individually randomized trial tolerate?	13

Measuring the performance of prediction models to personalize treatment choice	13
Translating questions to estimands in randomized clinical trials with intercurrent events	13
Subgroup analysis in the heterogeneous Cox model	13
Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models	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
On the properties of the toxicity index and its statistical efficiency	13
Assessing vaccine durability in randomized trials following placebo crossover	13
Optimal multiwave sampling for regression modeling in two‐phase designs	12
Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation	12
Inpraise ofPrais‐Winsten: An evaluation of methods used to account for autocorrelation in interrupted time series	12
Sample size formula for a win ratio endpoint	12
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond	12
Using principal stratification in analysis of clinical trials	12
Prospective individual patient data meta‐analysis: Evaluating convalescent plasma for COVID‐19	12
Progression models for repeated measures: Estimating novel treatment effects in progressive diseases	12
How large should the next study be? Predictive power and sample size requirements for replication studies	12
Bayesian learning of multiple directed networks from observational data	12
Geographically weighted generalized Farrington algorithm for rapid outbreak detection over short data accumulation periods	11
Impact of discretization of the timeline for longitudinal causal inference methods	11
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data	11
Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling	11
Bayesian variable selection for understanding mixtures in environmental exposures	11
Principal component analysis of hybrid functional and vector data	11
A tractable Bayesian joint model for longitudinal and survival data	11
Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study	11
Spline‐based accelerated failure time model	11
The batched stepped wedge design: A design robust to delays in cluster recruitment	11
Deep learning for the dynamic prediction of multivariate longitudinal and survival data	11
Bayesian variable selection with a pleiotropic loss function in Mendelian randomization	11
A pilot design for observational studies: Using abundant data thoughtfully	11
When should matching be used in the design of cluster randomized trials?	10
Adaptive response‐dependent two‐phase designs: Some results on robustness and efficiency	10
Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence	10
Analytical methods for correlated data arising from multicenter hearing studies	10
A Markov chain approach for ranking treatments in network meta‐analysis	10
The reciprocal Bayesian LASSO	10
Window mean survival time	10
On the parameter estimation of Box‐Cox transformation cure model	10
Robust estimation for linear panel data models	10
On a new piecewise regression model with cure rate: Diagnostics and application to medical data	10
The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differences	10
Parameter clustering in Bayesian functional principal component analysis of neuroscientific data	10
A forward search algorithm for detecting extreme study effects in network meta‐analysis	10
Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model	10
Fusion designs and estimators for treatment effects	10
Design and analysis of three‐arm parallel cluster randomized trials with small numbers of clusters	10
Optimizing subgroup selection in two‐stage adaptive enrichment and umbrella designs	10
Score confidence intervals and sample sizes for stratified comparisons of binomial proportions	10
Adaptively stacking ensembles for influenza forecasting	10
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification	10
Permutation‐based true discovery proportions for functional magnetic resonance imaging cluster analysis	9
Regression analysis for covariate‐adaptive randomization: A robust and efficient inference perspective	9
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances	9
Optimal planning of adaptive two‐stage designs	9
Reclaiming independence in spatial‐clustering datasets: A series of data‐driven spatial weights matrices	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
Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool	9
uTPI: A utility‐based toxicity probability interval design for phase I/II dose‐finding trials	9
Estimating the sample variance from the sample size and range	9
Bayesian adaptive design for clinical trials in Duchenne muscular dystrophy	9
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	9
Improving main analysis by borrowing information from auxiliary data	9
Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators	9
Target estimands for population‐adjusted indirect comparisons	9
Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption	9
A unified approach to sample size and power determination for testing parameters in generalized linear and time‐to‐event regression models	9
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure	9
Bayesian consensus clustering for multivariate longitudinal data	9
A Bayesian‐bandit adaptive design for N‐of‐1 clinical trials	9
Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population	9
Clustered spatio‐temporal varying coefficient regression model	9
Model diagnostics for censored regression via randomized survival probabilities	9
Parametric and nonparametric improvements in Bland and Altman's assessment of agreement method	9
Comparing Kaplan‐Meier curves with the probability of agreement	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
A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease	8
Using knockoffs for controlled predictive biomarker identification	8

Confounder selection strategies targeting stable treatment effect estimators	8
On a reparameterization of a flexible family of cure models	8
Robust covariance estimation for high‐dimensional compositional data with application to microbial communities analysis	8
Ratio and difference of average hazard with survival weight: New measures to quantify survival benefit of new therapy	8
Bayesian latent factor on image regression with nonignorable missing data	8
A simulation‐extrapolation approach for regression analysis of misclassified current status data with the additive hazards model	8
Early completion of phase I cancer clinical trials with Bayesian optimal interval design	8
Joint inference about the AUC and Youden index for paired biomarkers	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
A Bayesian adaptive phase I/II platform trial design for pediatric immunotherapy trials	8
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Confidence interval estimation for treatment effects in cluster randomization trials based on ranks	8
An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation	8
Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification	8
Gaussian graphical models with applications to omics analyses	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
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
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population	7
Summarizing empirical information on between‐study heterogeneity for Bayesian random‐effects meta‐analysis	7
Multiple imputation and test‐wise deletion for causal discovery with incomplete cohort data	7
Optimal adaptive promising zone designs	7
Capturing heterogeneity in repeated measures data by fusion penalty	7
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship	7
To tolerate or to agree: A tutorial on tolerance intervals in method comparison studies with BivRegBLS R Package	7
A guide to regression discontinuity designs in medical applications	7
Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval‐censored data	7
A systematic review and evaluation of statistical methods for group variable selection	7
Bayesian modeling of a bivariate toxicity outcome for early phase oncology trials evaluating dose regimens	7
Constrained hierarchical Bayesian model for latent subgroups in basket trials with two classifiers	7
Measuring association among censored antibody titer data	7
On the robustness of latent class models for diagnostic testing with no gold standard	7
A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions	7
Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects	7
AIDS and COVID: A tale of two pandemics and the role of statisticians	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
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping	7
Determination of the number of observers needed to evaluate a subjective test and its application in two PD‐L1 studies	7
A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros	7
On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in Belgium	7
Analyzing categorical time series in the presence of missing observations	7
Computing the polytomous discrimination index	7
Bayesian local exchangeability design for phase II basket trials	7
A Bayesian approach for estimating typhoid fever incidence from large‐scale facility‐based passive surveillance data	7
Laplacian‐P‐splines for Bayesian inference in the mixture cure model	7
Continuous positive airway pressure adherence trajectories in sleep apnea: Clustering with summed discrete Fréchet and dynamic time warping dissimilarities	7
Estimation of standard deviations and inverse‐variance weights from an observed range	7
Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs	7
Borrowing from supplemental sources to estimate causal effects from a primary data source	7
A novel estimand to adjust for rescue treatment in randomized clinical trials	7
On the integration of decision trees with mixture cure model	7
Flexible co‐data learning for high‐dimensional prediction	7
Flexible propensity score estimation strategies for clustered data in observational studies	7
Matching on poset‐based average rank for multiple treatments to compare many unbalanced groups	7
Connecting Instrumental Variable methods for causal inference to the Estimand Framework	7
Integrated multiple mediation analysis: A robustness‐specificity trade‐off in causal structure	7
How vague is vague? How informative is informative? Reference analysis for Bayesian meta‐analysis	7
Is group testing ready for prime‐time in disease identification?	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
A calibration approach to transportability and data‐fusion with observational data	6
Assessment of heterogeneous treatment effect estimation accuracy via matching	6
Network meta‐analysis and random walks	6
Promotion time cure rate model with a neural network estimated nonparametric component	6
Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models	6
Point estimation for adaptive trial designs II: Practical considerations and guidance	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
Bayesian regularization for a nonstationary Gaussian linear mixed effects model	6
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: A multiply robust approach	6
Seamless phase I/II design for novel anticancer agents with competing disease progression	6
Propensity score methods for merging observational and experimental datasets	6
Model misspecification in stepped wedge trials: Random effects for time or treatment	6
Sample size re‐estimation in clinical trials	6
Defining and estimating effects in cluster randomized trials: A methods comparison	6
On the normalized power prior	6
Dealing with confounding in observational studies: A scoping review of methods evaluated in simulation studies with single‐point exposure	6
Unit information prior for adaptive information borrowing from multiple historical datasets	6
Six‐way decomposition of causal effects: Unifying mediation and mechanistic interaction	6
Improving the performance of Bayesian logistic regression model with overdose control in oncology dose‐finding studies	6
Joint analysis of mixed types of outcomes with latent variables	6
Accounting for not‐at‐random missingness through imputation stacking	6
Design and modeling for drug combination experiments with order effects	6
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Improved estimation in negative binomial regression	6
Communication‐efficient estimation and inference for high‐dimensional quantile regression based on smoothed decorrelated score	6
Risk controlled decision trees and random forests for precision Medicine	6
Lasso estimation of hierarchical interactions for analyzing heterogeneity of treatment effect	6
The optimal design of clinical trials with potential biomarker effects: A novel computational approach	6
Propensity score stratification methods for continuous treatments	6
Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes	6
A graph convolutional neural network for gene expression data analysis with multiple gene networks	6
Event‐specific win ratios for inference with terminal and non‐terminal events	6
Analysis of crossover designs with nonignorable dropout	6