Biometrical Journal

Article	Citations
Missing data: A statistical framework for practice	70
Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets	63
Nowcasting the COVID‐19 pandemic in Bavaria	46
An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions	25
On the relation between the cause‐specific hazard and the subdistribution rate for competing risks data: The Fine–Gray model revisited	24
Component network meta‐analysis compared to a matching method in a disconnected network: A case study	23
Adaptive seamless clinical trials using early outcomes for treatment or subgroup selection: Methods, simulation model and their implementation in R	19
Nowcasting fatal COVID‐19 infections on a regional level in Germany	18
A bias‐corrected meta‐analysis model for combining, studies of different types and quality	15
Comparison of random‐effects meta‐analysis models for the relative risk in the case of rare events: A simulation study	14
Allometric analysis using the multivariate shifted exponential normal distribution	14
Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): Rationale and statistical concept of a meta‐analytic study	13
Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation	13
On the logic of collapsibility for causal effect measures	12
A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study	12
Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata	11
A product‐limit estimator of the conditional survival function when cure status is partially known	11
A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 2020	11
Stability of clinical prediction models developed using statistical or machine learning methods	11
Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes	10
Causal mediation analysis in nested case‐control studies using conditional logistic regression	9
Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART)	9
gBOIN‐ET: The generalized Bayesian optimal interval design for optimal dose‐finding accounting for ordinal graded efficacy and toxicity in early clinical trials	9
Bayesian regularization for flexible baseline hazard functions in Cox survival models	8
Accurate error control in high‐dimensional association testing using conditional false discovery rates	8

A joint frailty‐copula model for meta‐analytic validation of failure time surrogate endpoints in clinical trials	8
Bayesian confidence intervals for the difference between variances of delta‐lognormal distributions	7
Categories, components, and techniques in a modular construction of basket trials for application and further research	7
Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials	7
Meta‐analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches	7
Phases of methodological research in biostatistics—Building the evidence base for new methods	7
Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials	7
A note on the interpretation of tree‐based regression models	7
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method	6
Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data	6
Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework	6
A Bayesian seamless phase I–II trial design with two stages for cancer clinical trials with drug combinations	6
A mechanistic spatio‐temporal modeling of COVID‐19 data	6
Bounds for the weight of external data in shrinkage estimation	6
Identifying subgroups of age and cohort effects in obesity prevalence	6
Doug Altman: Driving critical appraisal and improvements in the quality of methodological and medical research	5
Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies	5
Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials	5
Using independent cross‐sectional survey data to predict post‐migration health trajectories among refugees by estimating transition probabilities and their variances	5
A generalized transition model for grouped longitudinal categorical data	5
A Bayesian decision‐theoretic approach to incorporate preclinical information into phase I oncology trials	5
Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures	5
Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modeling approach exploiting time‐varying covariates	5
Use of correlated scrambling variables in quantitative randomized response technique	5
Generalized pairwise comparisons for censored data: An overview	5
Sample size recalculation in multicenter randomized controlled clinical trials based on noncomparative data	5
Against the “one method fits all data sets” philosophy for comparison studies in methodological research	5
Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events	5
A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data	5
Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis	5
Impact of the matching algorithm on the treatment effect estimate: A neutral comparison study	5
A note of feature screening via a rank‐based coefficient of correlation	4
Maximin design of cluster randomized trials with heterogeneous costs and variances	4
New methods for the additive hazards model with the informatively interval‐censored failure time data	4
Robust group sequential designs for trials with survival endpoints and delayed response	4
Parametric mode regression for bounded responses	4
Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling	4
A new measure of treatment effect in clinical trials involving competing risks based on generalized pairwise comparisons	4
Frequentist performances of Bayesian prediction intervals for random‐effects meta‐analysis	4
Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study	4
Model selection characteristics when using MCP‐Mod for dose–response gene expression data	4
Simulating longitudinal data from marginal structural models using the additive hazard model	4
The area between ROC curves, a non‐parametric method to evaluate a biomarker for patient treatment selection	4
Joint estimation of case fatality rate of COVID‐19 and power of quarantine strategy performed in Wuhan, China	4
On the role of benchmarking data sets and simulations in method comparison studies	4
Approximate maximum likelihood estimation for logistic regression with covariate measurement error	4
Dynamic prediction of time to a clinical event with sparse and irregularly measured longitudinal biomarkers	4
Random‐effects meta‐analysis models for the odds ratio in the case of rare events under different data‐generating models: A simulation study	4
Hypothesis testing in multivariate normal models with block circular covariance structures	4
Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data	4

Sample size calculation for two‐arm trials with time‐to‐event endpoint for nonproportional hazards using the concept of Relative Time when inference is built on comparing Weibull distributions	4
Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints	4
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Information fraction estimation based on the number of events within the standard treatment regimen	4
Improved generalized raking estimators to address dependent covariate and failure‐time outcome error	4
Comparison of normal distribution–based and nonparametric decision limits on the GH‐2000 score for detecting growth hormone misuse (doping) in sport	4
Early detection of high disease activity in juvenile idiopathic arthritis by sequential monitoring of patients' health‐related quality of life scores	4
Time‐dependent ROC curve estimation for interval‐censored data	4
Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model	4
Enhancing estimation methods for integrating probability and nonprobability survey samples with machine‐learning techniques. An application to a Survey on the impact of the COVID‐19 pandemic in Spain	4
Bayesian time‐varying autoregressive models of COVID‐19 epidemics	4
Two sensitive characteristics and their overlap with two questions per card	3
Correcting the bias of the net benefit estimator due to right‐censored observations	3
A weighted FDR procedure under discrete and heterogeneous null distributions	3
Automatic variable selection for exposure‐driven propensity score matching with unmeasured confounders	3
Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis	3
Combining biomarkers by maximizing the true positive rate for a fixed false positive rate	3
Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm	3
New weighting methods when cases are only a subset of events in a nested case‐control study	3
The nonparametric Behrens–Fisher problem in partially complete clustered data	3
A comparative study of in vitro dose–response estimation under extreme observations	3
Discussion on ‘Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials'	3
Semiparametric marginal methods for clustered data adjusting for informative cluster size with nonignorable zeros	3
A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers	3
Personalized treatment plans with multivariate outcomes	3
The modified fuzzy mortality model based on the algebra of ordered fuzzy numbers	3
Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm	3
On optimal two‐stage testing of multiple mediators	3
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials	3
An iterative method to protect the type I error rate in bioequivalence studies under two‐stage adaptive 2×2 crossover designs	3
Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression	3
Randomized ‐values for multiple testing and their application in replicability analysis	3
Empirical Bayes small area prediction under a zero‐inflated lognormal model with correlated random area effects	3
Modeling time‐varying recruitment rates in multicenter clinical trials	3
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution	3
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder	3
Improving adaptive seamless designs through Bayesian optimization	3
Nonparametric screening and feature selection for ultrahigh‐dimensional Case II interval‐censored failure time data	3
Power and sample size for random coefficient regression models in randomized experiments with monotone missing data	3
Improved confidence intervals for a difference of two cause‐specific cumulative incidence functions estimated in the presence of competing risks and random censoring	2
A hidden Markov model for continuous longitudinal data with missing responses and dropout	2
A neutral comparison of statistical methods for analyzing longitudinally measured ordinal outcomes in rare diseases	2
Toward a standardized evaluation of imputation methodology	2
Multiple two‐sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry	2
Rectangular tolerance regions and multivariate normal reference regions in laboratory medicine	2
Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text	2
TITE‐gBOIN‐ET: Time‐to‐event generalized Bayesian optimal interval design to accelerate dose‐finding accounting for ordinal graded efficacy and toxicity outcomes	2
Synthesizing secondary data into survival analysis to improve estimation efficiency	2
Cox regression analysis for distorted covariates with an unknown distortion function	2
High‐dimensional feature selection in competing risks modeling: A stable approach using a split‐and‐merge ensemble algorithm	2
A flexible hierarchical framework for improving inference in area‐referenced environmental health studies	2
Estimating the optimal population upper bound for scan methods in retrospective disease surveillance	2
Using marginal structural joint models to estimate the effect of a time‐varying treatment on recurrent events and survival: An application on arrhythmogenic cardiomyopathy	2
Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data	2
On a class of non‐linear transformation cure rate models	2
A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data	2
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A model with space‐varying regression coefficients for clustering multivariate spatial count data	2
Simple confidence interval and region formulas for comparing diagnostic likelihood ratios under a paired design	2
Variable selection with P‐splines in functional linear regression: Application in graft‐versus‐host disease	2
Modeling and computation of multistep batch testing for infectious diseases	2
Using mortality to predict incidence for rare and lethal cancers in very small areas	2
Individual risk prediction: Comparing random forests with Cox proportional‐hazards model by a simulation study	2
Expected life years compared to the general population	2
Quantifying uncertainty in method of moments estimates of the heterogeneity variance in random effects meta‐analysis	2
A quantile‐slicing approach for sufficient dimension reduction with censored responses	2
Spatial auto‐correlation and auto‐regressive models estimation from sample survey data	2
An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data	2
Subclassification estimation of the weighted average treatment effect	2
Optimal dose‐finding for efficacy–safety models	2
Inverse problem approach to regularized regression models with application to predicting recovery after stroke	2
A new robust Bayesian small area estimation via ‐stable model for estimating the proportion of athletic students in California	2
On the relevance of prognostic information for clinical trials: A theoretical quantification	2
Gene–environment interaction identification via penalized robust divergence	2
Joint control of consensus and evidence in Bayesian design of clinical trials	2
A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data	2
Functional modeling of recurrent events on time‐to‐event processes	2
An adjusted coefficient of determination (R2) for generalized linear mixed models in one go	2
Causal inference in case of near‐violation of positivity: comparison of methods	2
Confirmatory adaptive group sequential designs for single‐arm phase II studies with multiple time‐to‐event endpoints	2

Statistical inference for the difference between two maximized Youden indices obtained from correlated biomarkers	2
Design‐based mapping of tree attributes by 3P sampling	2
Comments on Dr. Aniket Biswas' Letter to the Editor	2
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Blinded sample size recalculation in adaptive enrichment designs	2
Propensity score methods for time‐dependent cluster confounding	2
Using a dose‐finding benchmark to quantify the loss incurred by dichotomization in Phase II dose‐ranging studies	1
One‐two dependence and probability inequalities between one‐ and two‐sided union‐intersection tests	1
Biomarker‐based precision dose finding for immunotherapy combined with radiotherapy	1
Clustered restricted mean survival time regression	1
Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data	1
Generalizing treatment effects with incomplete covariates: Identifying assumptions and multiple imputation algorithms	1
Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis	1
A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data	1
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Optimization of adaptive designs with respect to a performance score	1
Causal effect estimation for multivariate continuous treatments	1
Modified score function for monotone likelihood in the semiparametric mixture cure model	1
Assurance in vaccine efficacy clinical trial design based on immunological responses	1
Bayesian Hierarchical Models with Applications Using RPeter D.Congdon (2019). Second Edition, CRC Press, pages 580, ISBN: 9781498785754	1
Dose‐response analysis using RC.RitzS. M.JensenD.GerhardJ. C.Streibig (2019). Boca Raton, FL: CRC Press, 214 pages. ISBN: 978‐1‐138‐03431‐0.	1
Restricted survival benefit with right‐censored data	1
Bayesian inference for quantiles of the log‐normal distribution	1
Correcting for heterogeneity and non‐comparability bias in multicenter clinical trials with a rescaled random‐effect excess hazard model	1
A likelihood ratio test for completed sampling in population size estimation studies	1
A semiparametric method for evaluating causal effects in the presence of error‐prone covariates	1
Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data	1
Evaluating cancer screening programs using survival analysis	1
Nonparametric Bayesian functional two‐part random effects model for longitudinal semicontinuous data analysis	1
Robust probit linear mixed models for longitudinal binary data	1
The design heatmap: A simple visualization of ‐optimality design problems	1
Weighted estimators of the complier average causal effect on restricted mean survival time with observed instrument–outcome confounders	1
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A censored quantile regression approach for relative survival analysis: Relative survival quantile regression	1
Multiobjective semisupervised learning with a right‐censored endpoint adapted to the multiple imputation framework	1
Simultaneous confidence tubes for comparing several multivariate linear regression models	1
Deep transformation models for functional outcome prediction after acute ischemic stroke	1
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A neutral comparison of algorithms to minimize L0 penalties for high‐dimensional variable selection	1
Disease mapping method comparing the spatial distribution of a disease with a control disease	1
Regarding Paper “Multiple testing with discrete data: Proportion of true null hypotheses and two adaptive FDR procedures” by Xiongzhi Chen, Rebecca W. Doerge, and Joseph F. Heyse	1
Joint modeling of interval counts of recurrent events and death	1
Identification of subgroups via partial linear regression modeling approach	1
A unified framework for weighted parametric group sequential design	1
A platform for comparing subgroup identification methodologies	1
Some new results on Cox–Czanner divergence and their applications in survival studies	1
Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes	1
Statistical inferences on nonconstant relative potency with quantal response data	1
On efficient posterior inference in normalized power prior Bayesian analysis	1
Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data	1
Variable selection for nonparametric additive Cox model with interval‐censored data	1
Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data	1
Applied meta‐analysis with R and Stata. Ding‐GengChen, Karl E.Peace (2021). Boca Raton, FL, Chapman and Hall/CRC Press, 2nd ed., 456 pages. ISBN 9780367183837	1
A Bayesian longitudinal trend analysis of count data with Gaussian processes	1
Model‐based clustering and classification for data science: With applications in RCharlesBouveyronGillesCeleuxT. BrendanMurphyAdrian E.Raftery (2019). New York, NY: Cambridge University Press. 446 pag	1
Sample size determination for comparing accuracies between two diagnostic tests under a paired design	1
Sample size calculation for one‐armed clinical trials with clustered data and binary outcome	1
Rejoinder for discussions on correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials	1
Confident identification of subgroups from SNP testing in RCTs with binary outcomes	1
Estimating the correlation between semi‐competing risk survival endpoints	1
Isolating cost drivers in interstitial lung disease treatment using nonparametric Bayesian methods	1
Adaptive Bayesian phase I clinical trial designs for estimating the maximum tolerated doses for two drugs while fully utilizing all toxicity information	1
Testing against umbrella or tree orderings for binomial proportions with an adaptation of an insect resistance case	1
Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation	1
Bayesian analysis of one‐inflated models for elusive population size estimation	1
Exact simultaneous confidence intervals for logical selection of a biomarker cut‐point	1
Adaptive data collection for intraindividual studies affected by adherence	1
Relative likelihood ratios for neutral comparisons of statistical tests in simulation studies	1
A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data	1
D‐optimal designs of mean‐covariance models for longitudinal data	1
Multivariate joint model under competing risks to predict death of hospitalized patients for SARS‐CoV‐2 infection	1
Statistical review of animal trials—A guideline	1
M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality	1
A frequentist approach to dynamic borrowing	1
Analysis of survival data with nonproportional hazards: A comparison of propensity‐score‐weighted methods	1
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models	1
DICE: A Bayesian model for early dose finding in phase I trials with multiple treatment courses	1
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Proportion of treatment effect mediated by surrogate endpoints	1
Exact change point detection with improved power in small‐sample binomial sequences	1
Corrected estimator of sensitive population proportion using unknown repeated trials in the unrelated question randomized response model	1
Optimal Stein‐type goodness‐of‐fit tests for count data	1
Penalized joint generalized estimating equations for longitudinal binary data	1
svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups	1
Nonparametric estimation of recursive point processes with application to mumps in Pennsylvania	1
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Joint frailty model for recurrent events and death in presence of cure fraction: Application to breast cancer data	1
Letter to the editor regarding the paper “New weighting methods when cases are only a subset of events in a nested case‐control study” by Qian M. Zhou, Xuan Wang, Yingye Zheng, and Tianxi Cai	1
On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models	1
Monotonicity conditions for avoiding counterintuitive decisions in basket trials	1
Testing inflated zeros in binomial regression models	1
Two‐stage screened selection designs for randomized phase II trials with time‐to‐event endpoints	1
Regression models for order‐of‐addition experiments	1
Clinical prediction models: A practical approach to development, validation, and updatingEwout W.Steyerberg (2019). Second Edition, Springer Series Statistics for Biology and Health. Cham: Springer. 5	1
Model misspecification and bias for inverse probability weighting estimators of average causal effects	1