Statistical Methods in Medical Research

Papers
(The median citation count of Statistical Methods in Medical Research 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 2020-03-01 to 2024-03-01.)
ArticleCitations
A tutorial on frailty models108
Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview86
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study52
Propensity score weighting under limited overlap and model misspecification47
Bootstrap inference for multiple imputation under uncongeniality and misspecification41
Estimation of causal effects of multiple treatments in observational studies with a binary outcome39
Random forests for high-dimensional longitudinal data38
Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting33
Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study32
Multiple imputation with missing data indicators30
Hybrid test for publication bias in meta-analysis28
Adjusted win ratio with stratification: Calculation methods and interpretation27
Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis27
Estimation of required sample size for external validation of risk models for binary outcomes24
Small sample sizes: A big data problem in high-dimensional data analysis24
Sample size and sample composition for constructing growth reference centiles23
Bayesian cluster hierarchical model for subgroup borrowing in the design and analysis of basket trials with binary endpoints23
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials23
Propensity score-based methods for causal inference in observational studies with non-binary treatments20
Performance of propensity score matching to estimate causal effects in small samples19
Spatial scan statistics can be dangerous19
A study of alternative approaches to non-normal latent trait distributions in item response theory models used for health outcome measurement19
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number16
Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer’s disease progression16
Regression multiple imputation for missing data analysis16
Sample size calculation and re-estimation based on the prevalence in a single-arm confirmatory diagnostic accuracy study15
Adjusting for selection bias due to missing data in electronic health records-based research15
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators15
A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model14
A Bayesian dose–response meta-analysis model: A simulations study and application14
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study14
Commentary on the use of the reproduction number R during the COVID-19 pandemic14
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression13
Glucodensities: A new representation of glucose profiles using distributional data analysis13
Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome13
Reference range: Which statistical intervals to use?13
Detecting the skewness of data from the five-number summary and its application in meta-analysis13
Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding12
The change in estimate method for selecting confounders: A simulation study12
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK12
Group sequential monitoring based on the maximum of weighted log-rank statistics with the Fleming–Harrington class of weights in oncology clinical trials12
Propensity score analysis methods with balancing constraints: A Monte Carlo study11
Unbiasedness and efficiency of non-parametric and UMVUE estimators of the probabilistic index and related statistics11
K-sample omnibus non-proportional hazards tests based on right-censored data11
Methods for modelling excess mortality across England during the COVID-19 pandemic11
Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumption11
Accurate confidence intervals for proportion in studies with clustered binary outcome11
Analysing body composition as compositional data: An exploration of the relationship between body composition, body mass and bone strength10
Nonparametric hyperrectangular tolerance and prediction regions for setting multivariate reference regions in laboratory medicine10
Advances in propensity score analysis10
General regression methods for respondent-driven sampling data10
Meta-analysis of the severe acute respiratory syndrome coronavirus 2 serial intervals and the impact of parameter uncertainty on the coronavirus disease 2019 reproduction number10
Weighted log-rank tests for clustered censored data: Saddlepoint p-values and confidence intervals10
Revisiting performance metrics for prediction with rare outcomes9
Extending the I-squared statistic to describe treatment effect heterogeneity in cluster, multi-centre randomized trials and individual patient data meta-analysis9
Inferring risks of coronavirus transmission from community household data9
Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large9
A working likelihood approach for robust regression9
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance9
On recurrent-event win ratio8
Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard8
Improving convergence in growth mixture models without covariance structure constraints8
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning8
Two-phase analysis and study design for survival models with error-prone exposures8
Criteria for evaluating risk prediction of multiple outcomes8
Change point detection in Cox proportional hazards mixture cure model8
The probability of detection of SARS-CoV-2 in saliva8
Inferring median survival differences in general factorial designs via permutation tests8
Variable selection for causal mediation analysis using LASSO-based methods8
Regularization approaches in clinical biostatistics: A review of methods and their applications8
A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data8
Evaluating upper limb function after stroke using the free-living accelerometer data8
Standard error estimation in meta-analysis of studies reporting medians8
Bayesian quantile nonhomogeneous hidden Markov models8
Applications of simple and accessible methods for meta-analysis involving rare events: A simulation study8
Class imbalance in gradient boosting classification algorithms: Application to experimental stroke data8
Semiparametric integrative interaction analysis for non-small-cell lung cancer8
Statistical design considerations for trials that study multiple indications8
Online control of the familywise error rate7
MultiBaC: A strategy to remove batch effects between different omic data types7
A threshold linear mixed model for identification of treatment-sensitive subsets in a clinical trial based on longitudinal outcomes and a continuous covariate7
Relative efficiencies of alternative preference-based designs for randomised trials7
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods7
Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters7
An overview of propensity score matching methods for clustered data7
Bayesian multiple instance regression for modeling immunogenic neoantigens7
CWL: A conditional weighted likelihood method to account for the delayed joint toxicity–efficacy outcomes for phase I/II clinical trials7
Distance-based Classification and Regression Trees for the analysis of complex predictors in health and medical research7
Online control of the False Discovery Rate in group-sequential platform trials7
Expanding attributable fraction applications to outcomes wholly attributable to a risk factor7
Improving the estimation of the COVID-19 effective reproduction number using nowcasting7
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-197
Exploring consequences of simulation design for apparent performance of methods of meta-analysis7
Variance estimation in tests of clustered categorical data with informative cluster size7
Deselection of base-learners for statistical boosting—with an application to distributional regression7
Efficiency of a randomized confirmatory basket trial design constrained to control the family wise error rate by indication7
An adaptive seamless Phase 2-3 design with multiple endpoints7
Modified Brier score for evaluating prediction accuracy for binary outcomes7
A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects7
G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting6
Dynamic prediction of competing risk events using landmark sub-distribution hazard model with multiple longitudinal biomarkers6
Risk difference tests for stratified binary data under Dallal’s model6
A surface-free design for phase I dual-agent combination trials6
Spatiotemporal distributed lag modelling of multiple Plasmodium species in a malaria elimination setting6
Sample sizes for cluster-randomised trials with continuous outcomes: Accounting for uncertainty in a single intra-cluster correlation estimate6
Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test6
Mediation analysis for mixture Cox proportional hazards cure models6
Development of a mixture model allowing for smoothing functions of longitudinal trajectories6
On estimating the area under the ROC curve in ranked set sampling6
A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks6
A generalization of functional clustering for discrete multivariate longitudinal data6
Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data6
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 network6
A family of Gamma-generated distributions: Statistical properties and applications6
Nonlinear parametric quantile models5
Inference about age-standardized rates with sampling errors in the denominators5
Employing a latent variable framework to improve efficiency in composite endpoint analysis5
Re-randomisation trials in multi-episode settings: Estimands and independence estimators5
Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach5
Pairwise likelihood estimation of latent autoregressive count models5
Quantile regression models for survival data with missing censoring indicators5
Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models5
Survival analysis with change-points in covariate effects5
Statistical reproducibility for pairwise t-tests in pharmaceutical research5
Using gradient boosting with stability selection on health insurance claims data to identify disease trajectories in chronic obstructive pulmonary disease5
An improved one-sample log-rank test5
On hazard-based penalized likelihood estimation of accelerated failure time model with partly interval censoring5
Integrating latent classes in the Bayesian shared parameter joint model of longitudinal and survival outcomes5
Robust bivariate random-effects model for accommodating outlying and influential studies in meta-analysis of diagnostic test accuracy studies5
A semiparametric mixed-effects model for censored longitudinal data5
Regression analysis of multivariate interval-censored failure time data with informative censoring5
Unified approach to optimal estimation of mean and standard deviation from sample summaries5
Combining cox regressions across a heterogeneous distributed research network facing small and zero counts5
A robust variable screening procedure for ultra-high dimensional data5
Benchmarking survival outcomes: A funnel plot for survival data5
A Bayesian phase I/II biomarker-based design for identifying subgroup-specific optimal dose for immunotherapy5
A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials5
A method for systematically ranking therapeutic drug candidates using multiple uncertain screening criteria5
Random effects models for complex designs5
An effective technique for diabetic retinopathy using hybrid machine learning technique5
Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson’s disease5
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study5
A group sequential design and sample size estimation for an immunotherapy trial with a delayed treatment effect5
A review of multistate modelling approaches in monitoring disease progression: Bayesian estimation using the Kolmogorov-Chapman forward equations5
Bayesian nonparametric latent class model for longitudinal data5
Association of intracluster correlation measures with outcome prevalence for binary outcomes in cluster randomised trials4
Adjusting for time of infection or positive test when estimating the risk of a post-infection outcome in an epidemic4
Optimized multiple testing procedures for nested sub-populations based on a continuous biomarker4
Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative4
A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment4
Clustering clinical and health care processes using a novel measure of dissimilarity for variable-length sequences of ordinal states4
Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data4
Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates4
Modeling the probability of occurrence of events4
Dynamic predictions of kidney graft survival in the presence of longitudinal outliers4
Clustered longitudinal data subject to irregular observation4
Integrating relative survival in multi-state models—a non-parametric approach4
Inference under covariate-adaptive randomization: A simulation study4
Clustering functional data using forward search based on functional spatial ranks with medical applications4
Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory4
Bayesian adaptive decision-theoretic designs for multi-arm multi-stage clinical trials4
A variance shrinkage method improves arm-based Bayesian network meta-analysis4
Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference4
Robust statistical inference for matched win statistics4
A survival mediation model with Bayesian model averaging4
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data4
A permutation test for assessing the presence of individual differences in treatment effects4
Joint space–time Bayesian disease mapping via quantification of disease risk association4
Generalized quasi-linear mixed-effects model4
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction3
Sample size determination for stepped wedge cluster randomized trials in pragmatic settings3
Data-driven clustering of infectious disease incidence into age groups3
Probability intervals of toxicity and efficacy design for dose-finding clinical trials in oncology3
Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.3
Decision-making with multiple correlated binary outcomes in clinical trials3
Semiparametric regression of the illness-death model with interval censored disease incidence time: An application to the ACLS data3
Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes3
A dose–effect network meta-analysis model with application in antidepressants using restricted cubic splines3
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis3
Homogeneity testing for binomial proportions under stratified double-sampling scheme with two fallible classifiers3
Inference on the overlap coefficient: The binormal approach and alternatives3
Functional clustering methods for longitudinal data with application to electronic health records3
Ensemble methods for survival function estimation with time-varying covariates3
Evaluating Bayesian adaptive randomization procedures with adaptive clip methods for multi-arm trials3
Reference-based pattern-mixture models for analysis of longitudinal binary data3
Multivariate generalized linear mixed models for continuous bounded outcomes: Analyzing the body fat percentage data3
Nonparametric kernel estimation of the probability of cure in a mixture cure model when the cure status is partially observed3
Propensity score specification for optimal estimation of average treatment effect with binary response3
Net benefit separation and the determination curve: A probabilistic framework for cost-effectiveness estimation3
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studies3
Uncertainty quantification for epidemiological forecasts of COVID-19 through combinations of model predictions3
The analysis of COVID-19 in-hospital mortality: A competing risk approach or a cure model?3
Exponentially weighed moving average charts for monitoring zero-inflated proportions with applications in health care3
The population-wise error rate for clinical trials with overlapping populations3
A family of linear mixed-effects models using the generalized Laplace distribution3
Harmonizing child mortality data at disparate geographic levels3
Weighted functional linear Cox regression model3
A unified approach to power and sample size determination for log-rank tests under proportional and nonproportional hazards3
Mediational g-formula for time-varying treatment and repeated-measured multiple mediators: Application to atorvastatin’s effect on cardiovascular disease via cholesterol lowering and anti-inflammatory3
Missing item responses in latent growth analysis: Item response theory versus classical test theory3
MEGH: A parametric class of general hazard models for clustered survival data3
Variable selection for ultra-high dimensional quantile regression with missing data and measurement error3
Reference ranges: Why tolerance intervals should not be used. Comment on Liu, Bretz and Cortina-Borja, Reference range: Which statistical intervals to use? SMMR, 2021,Vol. 30(2) 523–5343
Bayesian approaches to the weighted kappa-like inter-rater agreement measures3
A competing risks regression model for the association between time-varying opioid exposure and risk of overdose3
CFO: Calibration-free odds design for phase I/II clinical trials3
The asymptotic distribution of the Net Benefit estimator in presence of right-censoring3
A distribution-free control charting technique based on change-point analysis for detection of epidemics3
Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored3
Robust regression with asymmetric loss functions3
Unbiased and robust analysis of co-localization in super-resolution images3
Nested logistic regression models and ΔAUC applications: Change-point analysis2
Optimal individualized decision rules from a multi-arm trial: A comparison of methods and an application to tailoring inter-donation intervals among blood donors in the UK2
Bayesian inference on the number of recurrent events: A joint model of recurrence and survival2
Data transformations for statistical assessment of quantitative imaging biomarkers: Application to lung nodule volumetry2
A pseudo-likelihood approach for multivariate meta-analysis of test accuracy studies with multiple thresholds2
Doubly-robust estimator of the difference in restricted mean times lost with competing risks data2
Quantile regression on inactivity time2
Repeated measures discriminant analysis using multivariate generalized estimation equations2
A Bayesian group lasso classification for ADNI volumetrics data2
A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families2
Model-robust designs for nonlinear quantile regression2
A functional proportional hazard cure rate model for interval-censored data2
Variance partitioning in spatio-temporal disease mapping models2
Semiparametric estimation of the proportional rates model for recurrent events data with missing event category2
Calibrating validation samples when accounting for measurement error in intervention studies2
Analyzing the overall effects of the microbiome abundance data with a Bayesian predictive value approach2
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly2
A novel power prior approach for borrowing historical control data in clinical trials2
Combined statistical decision limits based on two GH-2000 scores for the detection of growth hormone misuse2
Calibration of surgical tools using multilevel modeling with LINEX loss function: Theory and experiment2
Impact of minimal sufficient balance, minimization, and stratified permuted blocks on bias and power in the estimation of treatment effect in sequential clinical trials with a binary endpoint2
A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes2
Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics2
A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data2
Approximate Bayesian computation design for phase I clinical trials2
Path-specific effects in the presence of a survival outcome and causally ordered multiple mediators with application to genomic data2
Simulation extrapolation method for measurement error: A review2
Issues and solutions in biomarker evaluation when subclasses are involved under binary classification2
Time-varying coefficient additive hazards model with latent variables2
Integrative nearest neighbor classifier for block-missing multi-modality data2
Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data2
Revisiting Gaussian Markov random fields and Bayesian disease mapping2
Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data2
Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula2
Promising zone two-stage design for a single-arm study with binary outcome2
Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach2
Goodness-of-fit tests for a logistic regression model with missing covariates2
Evaluations of the sum-score-based and item response theory-based tests of group mean differences under various simulation conditions2
Variance estimation for the average treatment effects on the treated and on the controls2
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