Statistics in Medicine

Papers
(The median citation count of Statistics in Medicine is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization265
Minimum sample size for external validation of a clinical prediction model with a binary outcome147
Evaluation of various estimators for standardized mean difference in meta‐analysis101
Pleiotropy robust methods for multivariable Mendelian randomization94
Minimum sample size for external validation of a clinical prediction model with a continuous outcome60
Using propensity scores to estimate effects of treatment initiation decisions: State of the science59
Formulating causal questions and principled statistical answers54
Balancing vs modeling approaches to weighting in practice46
Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study43
A modified self‐controlled case series method for event‐dependent exposures and high event‐related mortality, with application to COVID‐19 vaccine safety41
Win odds: An adaptation of the win ratio to include ties41
Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 141
Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome40
Bayesian workflow for disease transmission modeling in Stan36
Estimating heterogeneous survival treatment effect in observational data using machine learning35
A comparison of different methods to adjust survival curves for confounders34
Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial33
Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks32
An overview and critique of the use of cumulative sum methods with surgical learning curve data31
Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models31
Twenty years since Joinpoint 1.0: Two major enhancements, their justification, and impact29
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint29
Monitoring COVID‐19 contagion growth29
Genome‐wide association study‐based deep learning for survival prediction28
Propensity score weighting for covariate adjustment in randomized clinical trials27
Propensity‐score‐based meta‐analytic predictive prior for incorporating real‐world and historical data26
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 bin26
TITE‐BOIN12: A Bayesian phase I/II trial design to find the optimal biological dose with late‐onset toxicity and efficacy26
Penalized regression for left‐truncated and right‐censored survival data25
Nowcasting COVID‐19 incidence indicators during the Italian first outbreak24
Propensity score weighting for causal subgroup analysis23
Bayesian survival analysis with BUGS22
Point estimation for adaptive trial designs I: A methodological review22
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model21
Deep reinforcement learning for personalized treatment recommendation21
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods21
Bayesian semiparametricmeta‐analytic‐predictiveprior for historical control borrowing in clinical trials20
Transporting experimental results with entropy balancing20
Propensity score methods for observational studies with clustered data: A review20
Developing more generalizable prediction models from pooled studies and large clustered data sets20
A simplified stochastic EM algorithm for cure rate model with negative binomial competing risks: An application to breast cancer data20
Analysis of stepped wedge cluster randomized trials in the presence of a time‐varying treatment effect19
The statistical properties of RCTs and a proposal for shrinkage19
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis19
Bayesian model‐averaged meta‐analysis in medicine19
Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches19
Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score18
Mediation effect selection in high‐dimensional and compositional microbiome data18
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models17
A two‐way flexible generalized gamma transformation cure rate model17
Tumor heterogeneity estimation for radiomics in cancer17
Simultaneous modeling of Alzheimer's disease progression via multiple cognitive scales17
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 studies16
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 heterogeneity16
Differential expression of single‐cell RNA‐seq data using Tweedie models16
Precision Bayesian phase I‐II dose‐finding based on utilities tailored to prognostic subgroups16
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes16
Estimation and modeling of the restricted mean time lost in the presence of competing risks15
A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches15
A two‐stage prediction model for heterogeneous effects of treatments15
Multithreshold change plane model: Estimation theory and applications in subgroup identification15
Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy15
A Bayesian modified Ising model for identifying spatially variable genes from spatial transcriptomics data15
An efficient variance estimator of AUC and its applications to binary classification14
Bayesian kernel machine regression‐causal mediation analysis14
Sampling‐based estimation for massive survival data with additive hazards model14
Functional principal component analysis for longitudinal data with informative dropout14
Confidence intervals for difference in proportions for matched pairs compatible with exact McNemar's or sign tests14
Avoiding bias in self‐controlled case series studies of coronavirus disease 201914
Generalizing randomized trial findings to a target population using complex survey population data14
Raking and regression calibration: Methods to address bias from correlated covariate and time‐to‐event error14
Adjusted logistic propensity weighting methods for population inference using nonprobabilityvolunteer‐basedepidemiologic cohorts14
Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy13
District‐level estimation of vaccination coverage: Discrete vs continuous spatial models13
Pitfalls of the concordance index for survival outcomes13
On the properties of the toxicity index and its statistical efficiency13
Assessing vaccine durability in randomized trials following placebo crossover13
Contamination: How much can an individually randomized trial tolerate?13
Measuring the performance of prediction models to personalize treatment choice13
Translating questions to estimands in randomized clinical trials with intercurrent events13
Subgroup analysis in the heterogeneous Cox model13
Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models13
Progression models for repeated measures: Estimating novel treatment effects in progressive diseases12
How large should the next study be? Predictive power and sample size requirements for replication studies12
Bayesian learning of multiple directed networks from observational data12
Optimal multiwave sampling for regression modeling in two‐phase designs12
Inpraise ofPrais‐Winsten: An evaluation of methods used to account for autocorrelation in interrupted time series12
Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation12
Sample size formula for a win ratio endpoint12
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond12
Using principal stratification in analysis of clinical trials12
Prospective individual patient data meta‐analysis: Evaluating convalescent plasma for COVID‐1912
The batched stepped wedge design: A design robust to delays in cluster recruitment11
Deep learning for the dynamic prediction of multivariate longitudinal and survival data11
Bayesian variable selection with a pleiotropic loss function in Mendelian randomization11
A pilot design for observational studies: Using abundant data thoughtfully11
Geographically weighted generalized Farrington algorithm for rapid outbreak detection over short data accumulation periods11
Impact of discretization of the timeline for longitudinal causal inference methods11
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data11
Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling11
Bayesian variable selection for understanding mixtures in environmental exposures11
Principal component analysis of hybrid functional and vector data11
A tractable Bayesian joint model for longitudinal and survival data11
Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study11
Spline‐based accelerated failure time model11
Fusion designs and estimators for treatment effects10
Design and analysis of three‐arm parallel cluster randomized trials with small numbers of clusters10
Optimizing subgroup selection in two‐stage adaptive enrichment and umbrella designs10
Score confidence intervals and sample sizes for stratified comparisons of binomial proportions10
Adaptively stacking ensembles for influenza forecasting10
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification10
When should matching be used in the design of cluster randomized trials?10
Adaptive response‐dependent two‐phase designs: Some results on robustness and efficiency10
Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence10
Analytical methods for correlated data arising from multicenter hearing studies10
A Markov chain approach for ranking treatments in network meta‐analysis10
The reciprocal Bayesian LASSO10
Window mean survival time10
On the parameter estimation of Box‐Cox transformation cure model10
Robust estimation for linear panel data models10
On a new piecewise regression model with cure rate: Diagnostics and application to medical data10
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 differences10
Parameter clustering in Bayesian functional principal component analysis of neuroscientific data10
A forward search algorithm for detecting extreme study effects in network meta‐analysis10
Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model10
A Bayesian‐bandit adaptive design for N‐of‐1 clinical trials9
Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population9
Clustered spatio‐temporal varying coefficient regression model9
Model diagnostics for censored regression via randomized survival probabilities9
Parametric and nonparametric improvements in Bland and Altman's assessment of agreement method9
Comparing Kaplan‐Meier curves with the probability of agreement9
Binary genetic algorithm for optimal joinpoint detection: Application to cancer trend analysis9
Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy9
Permutation‐based true discovery proportions for functional magnetic resonance imaging cluster analysis9
Regression analysis for covariate‐adaptive randomization: A robust and efficient inference perspective9
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances9
Optimal planning of adaptive two‐stage designs9
Reclaiming independence in spatial‐clustering datasets: A series of data‐driven spatial weights matrices9
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 pool9
uTPI: A utility‐based toxicity probability interval design for phase I/II dose‐finding trials9
Estimating the sample variance from the sample size and range9
Bayesian adaptive design for clinical trials in Duchenne muscular dystrophy9
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 impr9
Improving main analysis by borrowing information from auxiliary data9
Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators9
Target estimands for population‐adjusted indirect comparisons9
Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption9
A unified approach to sample size and power determination for testing parameters in generalized linear and time‐to‐event regression models9
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure9
Bayesian consensus clustering for multivariate longitudinal data9
An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation8
Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification8
Gaussian graphical models with applications to omics analyses8
Household transmission of influenza A and B within a prospective cohort during the 2013‐2014 and 2014‐2015 seasons8
Choosing clinically interpretable summary measures and robust analytic procedures for quantifying the treatment difference in comparative clinical studies8
Online error rate control for platform trials8
A comparison of parametric propensityscore‐basedmethods for causal inference with multiple treatments and a binary outcome8
A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease8
Using knockoffs for controlled predictive biomarker identification8
Confounder selection strategies targeting stable treatment effect estimators8
On a reparameterization of a flexible family of cure models8
Robust covariance estimation for high‐dimensional compositional data with application to microbial communities analysis8
Ratio and difference of average hazard with survival weight: New measures to quantify survival benefit of new therapy8
Bayesian latent factor on image regression with nonignorable missing data8
A simulation‐extrapolation approach for regression analysis of misclassified current status data with the additive hazards model8
Early completion of phase I cancer clinical trials with Bayesian optimal interval design8
Joint inference about the AUC and Youden index for paired biomarkers8
Adaptive enrichment trials: What are the benefits?8
Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population8
A Bayesian adaptive phase I/II platform trial design for pediatric immunotherapy trials8
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Confidence interval estimation for treatment effects in cluster randomization trials based on ranks8
Flexible propensity score estimation strategies for clustered data in observational studies7
Matching on poset‐based average rank for multiple treatments to compare many unbalanced groups7
Connecting Instrumental Variable methods for causal inference to the Estimand Framework7
Integrated multiple mediation analysis: A robustness‐specificity trade‐off in causal structure7
How vague is vague? How informative is informative? Reference analysis for Bayesian meta‐analysis7
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population7
Summarizing empirical information on between‐study heterogeneity for Bayesian random‐effects meta‐analysis7
Multiple imputation and test‐wise deletion for causal discovery with incomplete cohort data7
Optimal adaptive promising zone designs7
Capturing heterogeneity in repeated measures data by fusion penalty7
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship7
To tolerate or to agree: A tutorial on tolerance intervals in method comparison studies with BivRegBLS R Package7
A guide to regression discontinuity designs in medical applications7
Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval‐censored data7
A systematic review and evaluation of statistical methods for group variable selection7
Bayesian modeling of a bivariate toxicity outcome for early phase oncology trials evaluating dose regimens7
Constrained hierarchical Bayesian model for latent subgroups in basket trials with two classifiers7
Measuring association among censored antibody titer data7
On the robustness of latent class models for diagnostic testing with no gold standard7
A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions7
Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects7
AIDS and COVID: A tale of two pandemics and the role of statisticians7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration7
Spatially informed Bayesian neural network for neurodegenerative diseases classification7
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping7
Determination of the number of observers needed to evaluate a subjective test and its application in two PD‐L1 studies7
A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros7
On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in Belgium7
Analyzing categorical time series in the presence of missing observations7
Computing the polytomous discrimination index7
Bayesian local exchangeability design for phase II basket trials7
Laplacian‐P‐splines for Bayesian inference in the mixture cure model7
Continuous positive airway pressure adherence trajectories in sleep apnea: Clustering with summed discrete Fréchet and dynamic time warping dissimilarities7
Estimation of standard deviations and inverse‐variance weights from an observed range7
Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs7
Borrowing from supplemental sources to estimate causal effects from a primary data source7
A novel estimand to adjust for rescue treatment in randomized clinical trials7
On the integration of decision trees with mixture cure model7
A Bayesian approach for estimating typhoid fever incidence from large‐scale facility‐based passive surveillance data7
Flexible co‐data learning for high‐dimensional prediction7
Propensity score stratification methods for continuous treatments6
Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes6
A graph convolutional neural network for gene expression data analysis with multiple gene networks6
Event‐specific win ratios for inference with terminal and non‐terminal events6
Analysis of crossover designs with nonignorable dropout6
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 Journal6
A calibration approach to transportability and data‐fusion with observational data6
Assessment of heterogeneous treatment effect estimation accuracy via matching6
Network meta‐analysis and random walks6
Promotion time cure rate model with a neural network estimated nonparametric component6
Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models6
Point estimation for adaptive trial designs II: Practical considerations and guidance6
A novel test by combining the maximum and minimum values among a large number of dependent Z‐scores with application to genome wide association study6
Bayesian regularization for a nonstationary Gaussian linear mixed effects model6
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: A multiply robust approach6
Seamless phase I/II design for novel anticancer agents with competing disease progression6
Propensity score methods for merging observational and experimental datasets6
Model misspecification in stepped wedge trials: Random effects for time or treatment6
Sample size re‐estimation in clinical trials6
Defining and estimating effects in cluster randomized trials: A methods comparison6
On the normalized power prior6
Dealing with confounding in observational studies: A scoping review of methods evaluated in simulation studies with single‐point exposure6
Unit information prior for adaptive information borrowing from multiple historical datasets6
Six‐way decomposition of causal effects: Unifying mediation and mechanistic interaction6
Improving the performance of Bayesian logistic regression model with overdose control in oncology dose‐finding studies6
Joint analysis of mixed types of outcomes with latent variables6
Accounting for not‐at‐random missingness through imputation stacking6
Design and modeling for drug combination experiments with order effects6
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Improved estimation in negative binomial regression6
Communication‐efficient estimation and inference for high‐dimensional quantile regression based on smoothed decorrelated score6
Risk controlled decision trees and random forests for precision Medicine6
Lasso estimation of hierarchical interactions for analyzing heterogeneity of treatment effect6
The optimal design of clinical trials with potential biomarker effects: A novel computational approach6
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