Statistics in Medicine

Article	Citations
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization	195
Minimum sample size for external validation of a clinical prediction model with a binary outcome	115
Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide	88
Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning	86
Extending inferences from a randomized trial to a new target population	85
Graphical calibration curves and the integrated calibration index (ICI) for survival models	84
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment	84
Evaluation of various estimators for standardized mean difference in meta‐analysis	73
Pleiotropy robust methods for multivariable Mendelian randomization	62
Minimum sample size for external validation of a clinical prediction model with a continuous outcome	46
Using propensity scores to estimate effects of treatment initiation decisions: State of the science	45
Formulating causal questions and principled statistical answers	43
Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study	39
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2—More complex methods of adjustment and advanced topics	39
Balancing vs modeling approaches to weighting in practice	35
A modified self‐controlled case series method for event‐dependent exposures and high event‐related mortality, with application to COVID‐19 vaccine safety	33
Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1	32
Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome	32
Estimating heterogeneous survival treatment effect in observational data using machine learning	31
Win odds: An adaptation of the win ratio to include ties	30
Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models	28
Dismantling the Fragility Index: A demonstration of statistical reasoning	27
Handling missing predictor values when validating and applying a prediction model to new patients	27
Genome‐wide association study‐based deep learning for survival prediction	26
Monitoring COVID‐19 contagion growth	26

Bayesian workflow for disease transmission modeling in Stan	25
An overview and critique of the use of cumulative sum methods with surgical learning curve data	24
Maintaining the validity of inference in small‐sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations	24
Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial	23
Sample size and power calculations for open cohort longitudinal cluster randomized trials	22
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	22
Nowcasting COVID‐19 incidence indicators during the Italian first outbreak	22
Matching with time‐dependent treatments: A review and look forward	21
Propensity‐score‐based meta‐analytic predictive prior for incorporating real‐world and historical data	20
Propensity score weighting for covariate adjustment in randomized clinical trials	20
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint	20
Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks	19
Penalized regression for left‐truncated and right‐censored survival data	18
Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials	18
Propensity score weighting for causal subgroup analysis	18
One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods	18
Developing more generalizable prediction models from pooled studies and large clustered data sets	18
TITE‐BOIN12: A Bayesian phase I/II trial design to find the optimal biological dose with late‐onset toxicity and efficacy	17
Sensitivity analysis of treatment effect to unmeasured confounding in observational studies with survival and competing risks outcomes	17
Bayesian semiparametric meta‐analytic‐predictive prior for historical control borrowing in clinical trials	16
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods	16
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis	16
Bayesian survival analysis with BUGS	15
Bayesian model‐averaged meta‐analysis in medicine	15
Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease	15
Deep learning for survival outcomes	15
The statistical properties of RCTs and a proposal for shrinkage	15
Conflating marginal and conditional treatment effects: Comments on “Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study”	15
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model	15
A simplified stochastic EM algorithm for cure rate model with negative binomial competing risks: An application to breast cancer data	15
Precision Bayesian phase I‐II dose‐finding based on utilities tailored to prognostic subgroups	15
A comparison of different methods to adjust survival curves for confounders	14
Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches	14
Using electronic health records to identify candidates for human immunodeficiency virus pre‐exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare	14
Propensity score methods for observational studies with clustered data: A review	14
Bayesian methods for the analysis of early‐phase oncology basket trials with information borrowing across cancer types	14
Transporting experimental results with entropy balancing	14
Raking and regression calibration: Methods to address bias from correlated covariate and time‐to‐event error	13
District‐level estimation of vaccination coverage: Discrete vs continuous spatial models	13
A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies	13
Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score	13
Mediation effect selection in high‐dimensional and compositional microbiome data	13
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity	13
Multithreshold change plane model: Estimation theory and applications in subgroup identification	13
Generalizing randomized trial findings to a target population using complex survey population data	13
Avoiding bias in self‐controlled case series studies of coronavirus disease 2019	13
Sampling‐based estimation for massive survival data with additive hazards model	13
Point estimation for adaptive trial designs I: A methodological review	13
Randomization‐based interval estimation in randomized clinical trials	12
Uncertainty in the design stage of two‐stage Bayesian propensity score analysis	12

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	12
Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: A pseudo‐observation approach	12
Deep reinforcement learning for personalized treatment recommendation	12
On the properties of the toxicity index and its statistical efficiency	12
Statistical inference for decision curve analysis, with applications to cataract diagnosis	12
A Bayesian time‐to‐event pharmacokinetic model for phase I dose‐escalation trials with multiple schedules	12
A two‐stage prediction model for heterogeneous effects of treatments	12
Analysis of stepped wedge cluster randomized trials in the presence of a time‐varying treatment effect	12
Twenty years since Joinpoint 1.0: Two major enhancements, their justification, and impact	12
Generalized estimating equations to estimate the ordered stereotype logit model for panel data	12
Optimal multiwave sampling for regression modeling in two‐phase designs	11
A multiple imputation‐based sensitivity analysis approach for data subject to missing not at random	11
Prospective individual patient data meta‐analysis: Evaluating convalescent plasma for COVID‐19	11
A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches	11
Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer‐based epidemiologic cohorts	11
Estimation of seroconversion rates for infectious diseases: Effects of age and noise	11
Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models	11
The impact of covariance priors on arm‐based Bayesian network meta‐analyses with binary outcomes	11
Selecting the model for multiple imputation of missing data: Just use an IC!	11
A two‐way flexible generalized gamma transformation cure rate model	11
On permutation tests for comparing restricted mean survival time with small sample from randomized trials	11
Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy	11
Simultaneous modeling of Alzheimer's disease progression via multiple cognitive scales	11
Point and interval estimation in two‐stage adaptive designs with time to event data and biomarker‐driven subpopulation selection	11
Differential expression of single‐cell RNA‐seq data using Tweedie models	11
Tumor heterogeneity estimation for radiomics in cancer	11
A pilot design for observational studies: Using abundant data thoughtfully	10
Bayesian learning of multiple directed networks from observational data	10
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond	10
Geographically weighted generalized Farrington algorithm for rapid outbreak detection over short data accumulation periods	10
Confidence intervals for difference in proportions for matched pairs compatible with exact McNemar's or sign tests	10
The reciprocal Bayesian LASSO	10
Parameter clustering in Bayesian functional principal component analysis of neuroscientific data	10
Flexible regression approach to propensity score analysis and its relationship with matching and weighting	10
An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records	10
Functional principal component analysis for longitudinal data with informative dropout	10
A hidden Markov model for population‐level cervical cancer screening data	10
Statistical inference for missing data mechanisms	10
A tractable Bayesian joint model for longitudinal and survival data	10
Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model	10
Contamination: How much can an individually randomized trial tolerate?	10
Adaptive response‐dependent two‐phase designs: Some results on robustness and efficiency	10
Design and analysis of three‐arm parallel cluster randomized trials with small numbers of clusters	10
An efficient variance estimator of AUC and its applications to binary classification	10
Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation	10
A Markov chain approach for ranking treatments in network meta‐analysis	10
A Bayesian modified Ising model for identifying spatially variable genes from spatial transcriptomics data	10
A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record–derived study	9
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes	9
A forward search algorithm for detecting extreme study effects in network meta‐analysis	9
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification	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
Binary genetic algorithm for optimal joinpoint detection: Application to cancer trend analysis	9
Optimizing subgroup selection in two‐stage adaptive enrichment and umbrella designs	9
Estimating the sample variance from the sample size and range	9
Score confidence intervals and sample sizes for stratified comparisons of binomial proportions	9
Assessing vaccine durability in randomized trials following placebo crossover	9
Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population	9
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models	9
Parametric and nonparametric improvements in Bland and Altman's assessment of agreement method	9
How large should the next study be? Predictive power and sample size requirements for replication studies	9
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	9
Bayesian kernel machine regression‐causal mediation analysis	9
Bayesian adaptive design for clinical trials in Duchenne muscular dystrophy	9
Subgroup analysis in the heterogeneous Cox model	9
Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study	9
Fusion designs and estimators for treatment effects	9
When should matching be used in the design of cluster randomized trials?	9
Bayesian variable selection for understanding mixtures in environmental exposures	9
Impact of discretization of the timeline for longitudinal causal inference methods	9
Estimation and modeling of the restricted mean time lost in the presence of competing risks	9
Early completion of phase I cancer clinical trials with Bayesian optimal interval design	8
Comparing Kaplan‐Meier curves with the probability of agreement	8
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure	8
Adaptively stacking ensembles for influenza forecasting	8
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	8
Reclaiming independence in spatial‐clustering datasets: A series of data‐driven spatial weights matrices	8
Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption	8
Robust estimation for linear panel data models	8
Flexible bivariate correlated count data regression	8

A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework	8
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data	8
Clustered spatio‐temporal varying coefficient regression model	8
A robust and unified framework for estimating heritability in twin studies using generalized estimating equations	8
The batched stepped wedge design: A design robust to delays in cluster recruitment	8
A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease	8
A bivariate logistic regression model based on latent variables	8
A new cure rate model with flexible competing causes with applications to melanoma and transplantation data	8
Bayesian latent factor on image regression with nonignorable missing data	8
Spline‐based accelerated failure time model	8
Laplacian‐P‐splines for Bayesian inference in the mixture cure model	7
On a new piecewise regression model with cure rate: Diagnostics and application to medical data	7
Confounder selection strategies targeting stable treatment effect estimators	7
Confidence interval estimation for treatment effects in cluster randomization trials based on ranks	7
On the robustness of latent class models for diagnostic testing with no gold standard	7
Regression with a right‐censored predictor using inverse probability weighting methods	7
Flexible co‐data learning for high‐dimensional prediction	7
uTPI: A utility‐based toxicity probability interval design for phase I/II dose‐finding trials	7
Adaptive enrichment trials: What are the benefits?	7
A Bayesian‐bandit adaptive design for N‐of‐1 clinical trials	7
Window mean survival time	7
A tractable method to account for high‐dimensional nonignorable missing data in intensive longitudinal data	7
Progression models for repeated measures: Estimating novel treatment effects in progressive diseases	7
A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions	7
Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool	7
Classification algorithm for high‐dimensional protein markers in time‐course data	7
Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects	7
Imbalanced randomization in clinical trials	7
AIDS and COVID: A tale of two pandemics and the role of statisticians	7
Using principal stratification in analysis of clinical trials	7
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping	7
Smoothed time‐dependent receiver operating characteristic curve for right censored survival data	7
Bayesian variable selection with a pleiotropic loss function in Mendelian randomization	7
Household transmission of influenza A and B within a prospective cohort during the 2013‐2014 and 2014‐2015 seasons	7
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Connecting Instrumental Variable methods for causal inference to the Estimand Framework	7
A multiparameter regression model for interval‐censored survival data	7
Sample size formula for a win ratio endpoint	7
Deep learning for the dynamic prediction of multivariate longitudinal and survival data	7
An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation	7
Target estimands for population‐adjusted indirect comparisons	7
Principal component analysis of hybrid functional and vector data	7
Improving coverage probabilities for parametric tolerance intervals via bootstrap calibration	7
Measuring the performance of prediction models to personalize treatment choice	7
Analytical methods for correlated data arising from multicenter hearing studies	7
Bayesian analysis of multivariate linear mixed models with censored and intermittent missing responses	7
Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population	7
Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval‐censored data	7
A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data	7
Multinomial logistic regression with missing outcome data: An application to cancer subtypes	7
Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators	7
Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence	7
Analysis of crossover designs with nonignorable dropout	6
A novel estimand to adjust for rescue treatment in randomized clinical trials	6
A Bayesian adaptive phase I/II platform trial design for pediatric immunotherapy trials	6
Group testing in mediation analysis	6
Computing the polytomous discrimination index	6
Model diagnostics for censored regression via randomized survival probabilities	6
Six‐way decomposition of causal effects: Unifying mediation and mechanistic interaction	6
A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome	6
Joint analysis of mixed types of outcomes with latent variables	6
Finite‐sample adjustments in variance estimators for clustered competing risks regression	6
Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs	6
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A flexible nonlinear mixed effects model for HIV viral load rebound after treatment interruption	6
On the normalized power prior	6
Unit information prior for adaptive information borrowing from multiple historical datasets	6
On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in Belgium	6
Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling	6
A new conditional performance score for the evaluation of adaptive group sequential designs with sample size recalculation	6
Measuring association among censored antibody titer data	6
Estimation of standard deviations and inverse‐variance weights from an observed range	6
Semiparametric regression analysis of partly interval‐censored failure time data with application to an AIDS clinical trial	6
A unified approach to sample size and power determination for testing parameters in generalized linear and time‐to‐event regression models	6
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship	6
To tolerate or to agree: A tutorial on tolerance intervals in method comparison studies with BivRegBLS R Package	6
Identifying density‐based local outliers in medical multivariate circular data	6
Active learning for efficiently training emulators of computationally expensive mathematical models	6
A Bayesian approach for estimating typhoid fever incidence from large‐scale facility‐based passive surveillance data	6
Optimal planning of adaptive two‐stage designs	6
Restricted mean survival time for interval‐censored data	6
A simulation‐extrapolation approach for regression analysis of misclassified current status data with the additive hazards model	6
Integrated multiple mediation analysis: A robustness‐specificity trade‐off in causal structure	6
Propensity score methods for merging observational and experimental datasets	6
An alternative formulation of Coxian phase‐type distributions with covariates: Application to emergency department length of stay	5
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	5
Robust estimation and variable selection for the accelerated failure time model	5
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: A multiply robust approach	5
A simulation study of disaggregation regression for spatial disease mapping	5
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances	5
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models	5
Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes	5
Improving main analysis by borrowing information from auxiliary data	5
Regression analysis of arbitrarily censored survival data under the proportional odds model	5
A bivariate autoregressive Poisson model and its application to asthma‐related emergency room visits	5