Statistical Methods in Medical Research

Article	Citations
A tutorial on frailty models	115
Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview	87
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study	54
Propensity score weighting under limited overlap and model misspecification	47
Bootstrap inference for multiple imputation under uncongeniality and misspecification	44
Random forests for high-dimensional longitudinal data	39
Estimation of causal effects of multiple treatments in observational studies with a binary outcome	39
Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting	33
Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study	32
Multiple imputation with missing data indicators	30
Hybrid test for publication bias in meta-analysis	29
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis	28
Adjusted win ratio with stratification: Calculation methods and interpretation	27
Small sample sizes: A big data problem in high-dimensional data analysis	26
Estimation of required sample size for external validation of risk models for binary outcomes	25
Sample size and sample composition for constructing growth reference centiles	24
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials	23
Spatial scan statistics can be dangerous	19
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number	16
Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer’s disease progression	16
A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model	16
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators	16
Sample size calculation and re-estimation based on the prevalence in a single-arm confirmatory diagnostic accuracy study	16
Detecting the skewness of data from the five-number summary and its application in meta-analysis	16
Adjusting for selection bias due to missing data in electronic health records-based research	15

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression	15
A Bayesian dose–response meta-analysis model: A simulations study and application	14
Commentary on the use of the reproduction number R during the COVID-19 pandemic	14
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study	14
Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome	13
Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumption	13
Glucodensities: A new representation of glucose profiles using distributional data analysis	13
Reference range: Which statistical intervals to use?	13
The change in estimate method for selecting confounders: A simulation study	13
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK	12
Propensity score analysis methods with balancing constraints: A Monte Carlo study	12
Group sequential monitoring based on the maximum of weighted log-rank statistics with the Fleming–Harrington class of weights in oncology clinical trials	12
Methods for modelling excess mortality across England during the COVID-19 pandemic	11
Accurate confidence intervals for proportion in studies with clustered binary outcome	11
Unbiasedness and efficiency of non-parametric and UMVUE estimators of the probabilistic index and related statistics	11
Meta-analysis of the severe acute respiratory syndrome coronavirus 2 serial intervals and the impact of parameter uncertainty on the coronavirus disease 2019 reproduction number	10
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance	10
Analysing body composition as compositional data: An exploration of the relationship between body composition, body mass and bone strength	10
A working likelihood approach for robust regression	10
General regression methods for respondent-driven sampling data	10
Nonparametric hyperrectangular tolerance and prediction regions for setting multivariate reference regions in laboratory medicine	10
On recurrent-event win ratio	9
Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large	9
Standard error estimation in meta-analysis of studies reporting medians	9
Extending the I-squared statistic to describe treatment effect heterogeneity in cluster, multi-centre randomized trials and individual patient data meta-analysis	9
Inferring risks of coronavirus transmission from community household data	9
Variable selection for causal mediation analysis using LASSO-based methods	9
Revisiting performance metrics for prediction with rare outcomes	9
Semiparametric integrative interaction analysis for non-small-cell lung cancer	8
G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting	8
Statistical design considerations for trials that study multiple indications	8
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard	8
The probability of detection of SARS-CoV-2 in saliva	8
Applications of simple and accessible methods for meta-analysis involving rare events: A simulation study	8
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning	8
A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data	8
Criteria for evaluating risk prediction of multiple outcomes	8
Bayesian multiple instance regression for modeling immunogenic neoantigens	8
Change point detection in Cox proportional hazards mixture cure model	8
Evaluating upper limb function after stroke using the free-living accelerometer data	8
Bayesian quantile nonhomogeneous hidden Markov models	8
Inferring median survival differences in general factorial designs via permutation tests	8
Class imbalance in gradient boosting classification algorithms: Application to experimental stroke data	8
Two-phase analysis and study design for survival models with error-prone exposures	8
On estimating the area under the ROC curve in ranked set sampling	8
Online control of the familywise error rate	8
Deselection of base-learners for statistical boosting—with an application to distributional regression	8
Online control of the False Discovery Rate in group-sequential platform trials	8
Improving convergence in growth mixture models without covariance structure constraints	8
Modified Brier score for evaluating prediction accuracy for binary outcomes	8

Regularization approaches in clinical biostatistics: A review of methods and their applications	8
An adaptive seamless Phase 2-3 design with multiple endpoints	7
Efficiency of a randomized confirmatory basket trial design constrained to control the family wise error rate by indication	7
A surface-free design for phase I dual-agent combination trials	7
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts	7
An overview of propensity score matching methods for clustered data	7
Relative efficiencies of alternative preference-based designs for randomised trials	7
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods	7
A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects	7
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19	7
Variance estimation in tests of clustered categorical data with informative cluster size	7
CWL: A conditional weighted likelihood method to account for the delayed joint toxicity–efficacy outcomes for phase I/II clinical trials	7
Distance-based Classification and Regression Trees for the analysis of complex predictors in health and medical research	7
Improving the estimation of the COVID-19 effective reproduction number using nowcasting	7
Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters	7
Exploring consequences of simulation design for apparent performance of methods of meta-analysis	7
A family of Gamma-generated distributions: Statistical properties and applications	6
A generalization of functional clustering for discrete multivariate longitudinal data	6
Pairwise likelihood estimation of latent autoregressive count models	6
Risk difference tests for stratified binary data under Dallal’s model	6
Sample sizes for cluster-randomised trials with continuous outcomes: Accounting for uncertainty in a single intra-cluster correlation estimate	6
A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks	6
Dynamic prediction of competing risk events using landmark sub-distribution hazard model with multiple longitudinal biomarkers	6
Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data	6
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study	6
Spatiotemporal distributed lag modelling of multiple Plasmodium species in a malaria elimination setting	6
Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test	6
Mediation analysis for mixture Cox proportional hazards cure models	6
Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: Application to a melanoma network	6
Development of a mixture model allowing for smoothing functions of longitudinal trajectories	6
Unified approach to optimal estimation of mean and standard deviation from sample summaries	5
A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations	5
A robust variable screening procedure for ultra-high dimensional data	5
Using gradient boosting with stability selection on health insurance claims data to identify disease trajectories in chronic obstructive pulmonary disease	5
Inference about age-standardized rates with sampling errors in the denominators	5
Re-randomisation trials in multi-episode settings: Estimands and independence estimators	5
Random effects models for complex designs	5
An effective technique for diabetic retinopathy using hybrid machine learning technique	5
Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson’s disease	5
A group sequential design and sample size estimation for an immunotherapy trial with a delayed treatment effect	5
Benchmarking survival outcomes: A funnel plot for survival data	5
Bayesian nonparametric latent class model for longitudinal data	5
A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials	5
Employing a latent variable framework to improve efficiency in composite endpoint analysis	5
A method for systematically ranking therapeutic drug candidates using multiple uncertain screening criteria	5
Robust bivariate random-effects model for accommodating outlying and influential studies in meta-analysis of diagnostic test accuracy studies	5
Quantile regression models for survival data with missing censoring indicators	5
Regression analysis of multivariate interval-censored failure time data with informative censoring	5
Survival analysis with change-points in covariate effects	5
Nonlinear parametric quantile models	5
Statistical reproducibility for pairwise t-tests in pharmaceutical research	5
A Bayesian phase I/II biomarker-based design for identifying subgroup-specific optimal dose for immunotherapy	5
On hazard-based penalized likelihood estimation of accelerated failure time model with partly interval censoring	5
Integrating latent classes in the Bayesian shared parameter joint model of longitudinal and survival outcomes	5
Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach	5
A semiparametric mixed-effects model for censored longitudinal data	5
Clustering functional data using forward search based on functional spatial ranks with medical applications	4
Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed	4
Bayesian adaptive decision-theoretic designs for multi-arm multi-stage clinical trials	4
Generalized quasi-linear mixed-effects model	4
Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference	4
Clustered longitudinal data subject to irregular observation	4
Robust statistical inference for matched win statistics	4
Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative	4
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment	4
A permutation test for assessing the presence of individual differences in treatment effects	4
Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory	4
Joint space–time Bayesian disease mapping via quantification of disease risk association	4
Association of intracluster correlation measures with outcome prevalence for binary outcomes in cluster randomised trials	4
Adjusting for time of infection or positive test when estimating the risk of a post-infection outcome in an epidemic	4
Modeling the probability of occurrence of events	4
A survival mediation model with Bayesian model averaging	4
Inference under covariate-adaptive randomization: A simulation study	4
Clustering clinical and health care processes using a novel measure of dissimilarity for variable-length sequences of ordinal states	4
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates	4
MEGH: A parametric class of general hazard models for clustered survival data	4
Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data	4
Dynamic predictions of kidney graft survival in the presence of longitudinal outliers	4
A variance shrinkage method improves arm-based Bayesian network meta-analysis	4
Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes	4

Integrating relative survival in multi-state models—a non-parametric approach	4
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data	4