Statistics in Medicine

Papers
(The TQCC of Statistics in Medicine is 3. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization182
Minimum sample size for external validation of a clinical prediction model with a binary outcome110
Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide85
Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning84
Extending inferences from a randomized trial to a new target population83
Graphical calibration curves and the integrated calibration index (ICI) for survival models82
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment81
Evaluation of various estimators for standardized mean difference in meta‐analysis67
Pleiotropy robust methods for multivariable Mendelian randomization56
Variance estimation when using propensity‐score matching with replacement with survival or time‐to‐event outcomes47
Minimum sample size for external validation of a clinical prediction model with a continuous outcome45
Formulating causal questions and principled statistical answers43
Using propensity scores to estimate effects of treatment initiation decisions: State of the science43
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2—More complex methods of adjustment and advanced topics39
Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study37
Balancing vs modeling approaches to weighting in practice35
A modified self‐controlled case series method for event‐dependent exposures and high event‐related mortality, with application to COVID‐19 vaccine safety31
Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome31
Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 129
Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models28
Win odds: An adaptation of the win ratio to include ties28
Estimating heterogeneous survival treatment effect in observational data using machine learning28
Dismantling the Fragility Index: A demonstration of statistical reasoning26
Handling missing predictor values when validating and applying a prediction model to new patients25
Monitoring COVID‐19 contagion growth25
An overview and critique of the use of cumulative sum methods with surgical learning curve data24
Bayesian workflow for disease transmission modeling in Stan23
Genome‐wide association study‐based deep learning for survival prediction23
Maintaining the validity of inference in small‐sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations23
Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial22
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 bin22
Nowcasting COVID‐19 incidence indicators during the Italian first outbreak22
Matching with time‐dependent treatments: A review and look forward20
Propensity‐score‐based meta‐analytic predictive prior for incorporating real‐world and historical data20
Propensity score weighting for covariate adjustment in randomized clinical trials20
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint19
Sample size and power calculations for open cohort longitudinal cluster randomized trials19
Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks18
One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods18
Propensity score weighting for causal subgroup analysis17
TITE‐BOIN12: A Bayesian phase I/II trial design to find the optimal biological dose with late‐onset toxicity and efficacy17
Propensity scores using missingness pattern information: a practical guide17
Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials17
Developing more generalizable prediction models from pooled studies and large clustered data sets17
Sensitivity analysis of treatment effect to unmeasured confounding in observational studies with survival and competing risks outcomes17
Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis16
Bayesian semiparametric meta‐analytic‐predictive prior for historical control borrowing in clinical trials16
Penalized regression for left‐truncated and right‐censored survival data15
Deep learning for survival outcomes15
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods15
Bayesian survival analysis with BUGS15
Precision Bayesian phase I‐II dose‐finding based on utilities tailored to prognostic subgroups15
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model15
The statistical properties of RCTs and a proposal for shrinkage15
Bayesian methods for the analysis of early‐phase oncology basket trials with information borrowing across cancer types14
A simplified stochastic EM algorithm for cure rate model with negative binomial competing risks: An application to breast cancer data14
Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease14
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 rare14
Bayesian model‐averaged meta‐analysis in medicine14
Conflating marginal and conditional treatment effects: Comments on “Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study”14
Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches14
Raking and regression calibration: Methods to address bias from correlated covariate and time‐to‐event error13
District‐level estimation of vaccination coverage: Discrete vs continuous spatial models13
Propensity score methods for observational studies with clustered data: A review13
Avoiding bias in self‐controlled case series studies of coronavirus disease 201913
A comparison of multiple imputation strategies for handling missing data in multi‐item scales: Guidance for longitudinal studies13
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity13
Multithreshold change plane model: Estimation theory and applications in subgroup identification13
A comparison of different methods to adjust survival curves for confounders12
On the properties of the toxicity index and its statistical efficiency12
Transporting experimental results with entropy balancing12
Randomization‐based interval estimation in randomized clinical trials12
Generalizing randomized trial findings to a target population using complex survey population data12
A Bayesian time‐to‐event pharmacokinetic model for phase I dose‐escalation trials with multiple schedules12
Generalized estimating equations to estimate the ordered stereotype logit model for panel data12
A two‐stage prediction model for heterogeneous effects of treatments12
Statistical inference for decision curve analysis, with applications to cataract diagnosis12
Sampling‐based estimation for massive survival data with additive hazards model12
Point estimation for adaptive trial designs I: A methodological review12
Twenty years since Joinpoint 1.0: Two major enhancements, their justification, and impact11
Mediation effect selection in high‐dimensional and compositional microbiome data11
Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score11
Prospective individual patient data meta‐analysis: Evaluating convalescent plasma for COVID‐1911
Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models11
A multiple imputation‐based sensitivity analysis approach for data subject to missing not at random11
Optimal multiwave sampling for regression modeling in two‐phase designs11
Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer‐based epidemiologic cohorts11
The impact of covariance priors on arm‐based Bayesian network meta‐analyses with binary outcomes11
Point and interval estimation in two‐stage adaptive designs with time to event data and biomarker‐driven subpopulation selection11
Uncertainty in the design stage of two‐stage Bayesian propensity score analysis11
Tumor heterogeneity estimation for radiomics in cancer11
A hidden Markov model for population‐level cervical cancer screening data10
Functional principal component analysis for longitudinal data with informative dropout10
Confidence intervals for difference in proportions for matched pairs compatible with exact McNemar's or sign tests10
Parameter clustering in Bayesian functional principal component analysis of neuroscientific data10
A tractable Bayesian joint model for longitudinal and survival data10
Flexible regression approach to propensity score analysis and its relationship with matching and weighting10
Bayesian learning of multiple directed networks from observational data10
Estimation of seroconversion rates for infectious diseases: Effects of age and noise10
An efficient variance estimator of AUC and its applications to binary classification10
Simultaneous modeling of Alzheimer's disease progression via multiple cognitive scales10
Selecting the model for multiple imputation of missing data: Just use an IC!10
A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches10
A two‐way flexible generalized gamma transformation cure rate model10
Adaptive response‐dependent two‐phase designs: Some results on robustness and efficiency10
Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy10
Deep reinforcement learning for personalized treatment recommendation10
Statistical inference for missing data mechanisms10
The reciprocal Bayesian LASSO10
A unified approach for synthesizing population‐level covariate effect information in semiparametric estimation with survival data10
A pilot design for observational studies: Using abundant data thoughtfully10
An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records10
Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: A pseudo‐observation approach10
Parametric and nonparametric improvements in Bland and Altman's assessment of agreement method9
Geographically weighted generalized Farrington algorithm for rapid outbreak detection over short data accumulation periods9
Estimating the sample variance from the sample size and range9
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes9
Assessing vaccine durability in randomized trials following placebo crossover9
Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population9
Subgroup analysis in the heterogeneous Cox model9
Fusion designs and estimators for treatment effects9
On permutation tests for comparing restricted mean survival time with small sample from randomized trials9
Bayesian variable selection for understanding mixtures in environmental exposures9
Impact of discretization of the timeline for longitudinal causal inference methods9
Estimation and modeling of the restricted mean time lost in the presence of competing risks9
Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation9
A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record–derived study9
Contamination: How much can an individually randomized trial tolerate?9
A Bayesian modified Ising model for identifying spatially variable genes from spatial transcriptomics data9
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
Design and analysis of three‐arm parallel cluster randomized trials with small numbers of clusters9
Optimizing subgroup selection in two‐stage adaptive enrichment and umbrella designs9
Bayesian adaptive design for clinical trials in Duchenne muscular dystrophy9
Score confidence intervals and sample sizes for stratified comparisons of binomial proportions9
A forward search algorithm for detecting extreme study effects in network meta‐analysis9
Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study9
Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model9
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data8
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 impr8
Spline‐based accelerated failure time model8
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models8
A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease8
Early completion of phase I cancer clinical trials with Bayesian optimal interval design8
Comparing Kaplan‐Meier curves with the probability of agreement8
A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework8
A new cure rate model with flexible competing causes with applications to melanoma and transplantation data8
Bayesian latent factor on image regression with nonignorable missing data8
A robust and unified framework for estimating heritability in twin studies using generalized estimating equations8
Robust estimation for linear panel data models8
Flexible bivariate correlated count data regression8
Analysis of stepped wedge cluster randomized trials in the presence of a time‐varying treatment effect8
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure8
Adaptively stacking ensembles for influenza forecasting8
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification8
Reclaiming independence in spatial‐clustering datasets: A series of data‐driven spatial weights matrices8
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond8
How large should the next study be? Predictive power and sample size requirements for replication studies8
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 differences8
Improving coverage probabilities for parametric tolerance intervals via bootstrap calibration7
Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval‐censored data7
Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption7
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On a new piecewise regression model with cure rate: Diagnostics and application to medical data7
Two‐part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates7
Binary genetic algorithm for optimal joinpoint detection: Application to cancer trend analysis7
Sample size formula for a win ratio endpoint7
An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation7
Classification algorithm for high‐dimensional protein markers in time‐course data7
Measuring the performance of prediction models to personalize treatment choice7
Smoothed time‐dependent receiver operating characteristic curve for right censored survival data7
Bayesian kernel machine regression‐causal mediation analysis7
A primer on strong vs weak control of familywise error rate7
Multinomial logistic regression with missing outcome data: An application to cancer subtypes7
Household transmission of influenza A and B within a prospective cohort during the 2013‐2014 and 2014‐2015 seasons7
Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence7
A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data7
A bivariate logistic regression model based on latent variables7
Connecting Instrumental Variable methods for causal inference to the Estimand Framework7
Imbalanced randomization in clinical trials7
Laplacian‐P‐splines for Bayesian inference in the mixture cure model7
Confounder selection strategies targeting stable treatment effect estimators7
Adaptive multiarm multistage clinical trials7
Testing for change‐point in the covariate effects based on the Cox regression model7
Flexible co‐data learning for high‐dimensional prediction7
Using principal stratification in analysis of clinical trials7
A Bayesian‐bandit adaptive design for N‐of‐1 clinical trials7
A multiparameter regression model for interval‐censored survival data7
Estimating treatment effects under untestable assumptions with nonignorable missing data7
On the robustness of latent class models for diagnostic testing with no gold standard7
A tractable method to account for high‐dimensional nonignorable missing data in intensive longitudinal data7
Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects7
When should matching be used in the design of cluster randomized trials?7
AIDS and COVID: A tale of two pandemics and the role of statisticians7
Clustered spatio‐temporal varying coefficient regression model7
Adaptive enrichment trials: What are the benefits?7
Confidence interval estimation for treatment effects in cluster randomization trials based on ranks7
uTPI: A utility‐based toxicity probability interval design for phase I/II dose‐finding trials7
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping7
Bayesian analysis of multivariate linear mixed models with censored and intermittent missing responses7
Semiparametric regression analysis of partly interval‐censored failure time data with application to an AIDS clinical trial6
Joint analysis of mixed types of outcomes with latent variables6
Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool6
Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling6
Principal component analysis of hybrid functional and vector data6
A novel estimand to adjust for rescue treatment in randomized clinical trials6
Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship6
Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population6
A Bayesian adaptive phase I/II platform trial design for pediatric immunotherapy trials6
Window mean survival time6
A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions6
Restricted mean survival time for interval‐censored data6
Measuring association among censored antibody titer data6
The batched stepped wedge design: A design robust to delays in cluster recruitment6
Estimation of standard deviations and inverse‐variance weights from an observed range6
A unified approach to sample size and power determination for testing parameters in generalized linear and time‐to‐event regression models6
Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs6
A flexible nonlinear mixed effects model for HIV viral load rebound after treatment interruption6
To tolerate or to agree: A tutorial on tolerance intervals in method comparison studies with BivRegBLS R Package6
Group testing in mediation analysis6
Active learning for efficiently training emulators of computationally expensive mathematical models6
Computing the polytomous discrimination index6
Six‐way decomposition of causal effects: Unifying mediation and mechanistic interaction6
A robust Bayesian mixed effects approach for zero inflated and highly skewed longitudinal count data emanating from the zero inflated discrete Weibull distribution6
A simulation‐extrapolation approach for regression analysis of misclassified current status data with the additive hazards model6
Integrated multiple mediation analysis: A robustness‐specificity trade‐off in causal structure6
Target estimands for population‐adjusted indirect comparisons6
Analysis of crossover designs with nonignorable dropout6
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Regression with a right‐censored predictor using inverse probability weighting methods6
Analytical methods for correlated data arising from multicenter hearing studies6
Identifying density‐based local outliers in medical multivariate circular data6
Unit information prior for adaptive information borrowing from multiple historical datasets6
On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in Belgium6
A new conditional performance score for the evaluation of adaptive group sequential designs with sample size recalculation6
A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome6
A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros5
An alternative formulation of Coxian phase‐type distributions with covariates: Application to emergency department length of stay5
Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators5
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models5
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: A multiply robust approach5
Bayesian modeling of a bivariate toxicity outcome for early phase oncology trials evaluating dose regimens5
Model diagnostics for censored regression via randomized survival probabilities5
Regression analysis of arbitrarily censored survival data under the proportional odds model5
Optimal planning of adaptive two‐stage designs5
Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes5
Propensity score stratification methods for continuous treatments5
How vague is vague? How informative is informative? Reference analysis for Bayesian meta‐analysis5
A simulation study of disaggregation regression for spatial disease mapping5
Robust estimation and variable selection for the accelerated failure time model5
A bivariate autoregressive Poisson model and its application to asthma‐related emergency room visits5
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