Biometrical Journal

Papers
(The median citation count of Biometrical Journal is 0. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Bootstrap tests for simultaneous monotone ordering of effects in a two‐way ANOVA66
Masthead: Biometrical Journal 5'2127
Cover Picture: Biometrical Journal 5'2124
Blinded sample size recalculation in multiple composite population designs with normal data and baseline adjustments21
Parametric modal regression with error in covariates17
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Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data15
Editorial Board: Biometrical Journal 6'2115
Contents: Biometrical Journal 6'2113
List of Reviewers for 202113
The Replication of Equivalence Studies12
Variance estimators for weighted and stratified linear dose–response function estimators using generalized propensity score12
Risk‐Based Decision Making: Estimands for Sequential Prediction Under Interventions12
Oncology Clinical Trial Design Planning Based on a Multistate Model That Jointly Models Progression‐Free and Overall Survival Endpoints11
Joint control of consensus and evidence in Bayesian design of clinical trials11
A comparison of the multilevel MIMIC model to the multilevel regression and mixed ANOVA model for the estimation and testing of a cross‐level interaction effect: A simulation study10
On the role of benchmarking data sets and simulations in method comparison studies9
On the relevance of prognostic information for clinical trials: A theoretical quantification9
Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis9
Multivariate joint model under competing risks to predict death of hospitalized patients for SARS‐CoV‐2 infection8
Recoverability and estimation of causal effects under typical multivariable missingness mechanisms8
Exact sample size determination for a single Poisson random sample8
Multistate modeling and structure selection for multitype recurrent events and terminal event data8
Statistical Design and Analysis of Biological Experiments. H.‐M.Kaltenbach(2021). Springer, Cham. Springer Series Statistics for Biology and Health. 269 pages, ISBN: 978‐3‐030‐69640‐58
Analysis of survival data with nonproportional hazards: A comparison of propensity‐score‐weighted methods8
Robust group sequential designs for trials with survival endpoints and delayed response7
Trial arm outcome variance difference after dropout as an indicator of missing‐not‐at‐random bias in randomized controlled trials7
Explained variation and degrees of necessity and of sufficiency for competing risks survival data7
Masthead: Biometrical Journal 2'227
Online false discovery rate control for LORD++ and SAFFRON under positive, local dependence7
Contents: Biometrical Journal 6'227
A Bayesian hierarchical hidden Markov model for clustering and gene selection: Application to kidney cancer gene expression data7
Cover Picture: Biometrical Journal 3'227
Adaptive Multiple Comparisons With the Best7
Model misspecification and bias for inverse probability weighting estimators of average causal effects6
Finite mixtures in capture–recapture surveys for modeling residency patterns in marine wildlife populations6
Masthead: Biometrical Journal 1'236
Landmarking for Left‐Truncated Competing Risk Data6
Estimation in optimal treatment regimes based on mean residual lifetimes with right‐censored data6
A zero‐inflated endemic–epidemic model with an application to measles time series in Germany6
Editorial Board: Biometrical Journal 1'226
Smoothed quantile regression for partially functional linear models in high dimensions5
Comparison of cohort and nested case‐control designs for estimating the effect of time‐varying drug exposure on the risk of adverse event in the presence of ties5
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New weighting methods when cases are only a subset of events in a nested case‐control study5
Bayesian analysis of one‐inflated models for elusive population size estimation5
Impact of Methodological Assumptions and Covariates on the Cutoff Estimation in ROC Analysis5
Sample size calculation for the combination test under nonproportional hazards5
Post‐Estimation Shrinkage in Full and Selected Linear Regression Models in Low‐Dimensional Data Revisited5
Sample size determination for comparing accuracies between two diagnostic tests under a paired design5
Bayesian dose escalation with overdose and underdose control utilizing all toxicities in Phase I/II clinical trials4
Editorial Board: Biometrical Journal 3'224
Cover Picture: Biometrical Journal 2'234
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder4
A unified framework for weighted parametric group sequential design4
An adjusted coefficient of determination (R2) for generalized linear mixed models in one go4
Incompletely Observed Nonparametric Factorial Designs With Repeated Measurements: A Wild Bootstrap Approach4
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A frequentist approach to dynamic borrowing4
Correction: Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications4
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Editorial Board: Biometrical Journal 8'224
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A two‐way additive model with unknown group‐specific interactions applied to gene expression data4
Cover Picture: Biometrical Journal 7'224
Biomarker‐based precision dose finding for immunotherapy combined with radiotherapy4
A New Mixture Model With Cure Rate Applied to Breast Cancer Data4
A neutral comparison of statistical methods for analyzing longitudinally measured ordinal outcomes in rare diseases4
Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: A simulation study3
Multivariate reference and tolerance regions based on conditional transformation models: Application to glycemic markers3
Random Survival Forests With Competing Events: A Subdistribution‐Based Imputation Approach3
Combining Partial True Discovery Guarantee Procedures3
Comparison of statistical models to predict age‐standardized cancer incidence in Switzerland3
Developing and Comparing Four Families of Bayesian Network Autocorrelation Models for Binary Outcomes: Estimating Peer Effects Involving Adoption of Medical Technologies3
Contents: Biometrical Journal 7'223
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Issue Information: Biometrical Journal 7'243
Bayesian and influence function‐based empirical likelihoods for inference of sensitivity to the early diseased stage in diagnostic tests3
Simultaneous confidence intervals for quantile differences of several heterogeneous normal populations: With application to vitamin D supplement treatment on colorectal cancer patients3
Bayesian Inference of Phenotypic Plasticity of Cancer Cells Based on Dynamic Model for Temporal Cell Proportion Data3
Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis3
Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials3
Variable selection for nonparametric additive Cox model with interval‐censored data3
Type I multivariate zero‐inflated COM–Poisson regression model3
Nonparametric estimation of recursive point processes with application to mumps in Pennsylvania3
Masthead: Biometrical Journal 3'223
Correcting conditional mean imputation for censored covariates and improving usability3
Masthead: Biometrical Journal 7'233
Monotonicity conditions for avoiding counterintuitive decisions in basket trials3
Blinded sample size recalculation in adaptive enrichment designs3
Network Meta‐Analysis of Time‐to‐Event Endpoints With Individual Participant Data Using Restricted Mean Survival Time Regression3
A nonparametric method for classification trees using grouped covariates3
Reflections on the concept of optimality of single decision point treatment regimes3
Random‐effects meta‐analysis models for the odds ratio in the case of rare events under different data‐generating models: A simulation study3
A Network‐Constrain Weibull AFT Model for Biomarkers Discovery3
A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data2
The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?2
A likelihood ratio test for completed sampling in population size estimation studies2
Modified score function for monotone likelihood in the semiparametric mixture cure model2
On near‐redundancy and identifiability of parametric hazard regression models under censoring2
Cover Picture: Biometrical Journal 7'232
New methods for the additive hazards model with the informatively interval‐censored failure time data2
Detection of multiple change points in a Weibull accelerated failure time model using sequential testing2
A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 20202
Functional Multivariable Logistic Regression With an Application to HIV Viral Suppression Prediction2
Editorial Board: Biometrical Journal 3'232
Estimation of odds ratio from group testing data with misclassified exposure2
Masthead: Biometrical Journal 4'232
Identification of subgroups via partial linear regression modeling approach2
On optimal two‐stage testing of multiple mediators2
In memory of Carmen María Cadarso Suárez (1960–2022)2
Editorial Board: Biometrical Journal 6'232
DICE: A Bayesian model for early dose finding in phase I trials with multiple treatment courses2
Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity2
Editorial Board: Biometrical Journal 1'232
A comparative study of in vitro dose–response estimation under extreme observations2
Semi‐supervised empirical Bayes group‐regularized factor regression2
A mechanistic spatio‐temporal modeling of COVID‐19 data2
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models2
Mediation analysis with case–control sampling: Identification and estimation in the presence of a binary mediator2
Two sensitive characteristics and their overlap with two questions per card2
Simultaneous confidence intervals for contrasts of quantiles2
A Bayesian approach for subgroup analysis2
Cover Picture: Biometrical Journal 6'212
M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality2
Cross‐Cohort Mixture Analysis: A Data Integration Approach With Applications on Gestational Age and DNA‐Methylation‐Derived Gestational Age Acceleration Metrics2
Sparse multiway canonical correlation analysis for multimodal stroke recovery data2
Using marginal structural joint models to estimate the effect of a time‐varying treatment on recurrent events and survival: An application on arrhythmogenic cardiomyopathy2
Masthead: Biometrical Journal 2'232
Simulating Data From Marginal Structural Models for a Survival Time Outcome2
Contents: Biometrical Journal 8'212
Drug combinations screening using a Bayesian ranking approach based on dose–response models2
Some new results on Cox–Czanner divergence and their applications in survival studies2
Cover Picture: Biometrical Journal 4'231
Mediation Analysis With Exposure–Mediator Interaction and Covariate Measurement Error Under the Additive Hazards Model1
Masthead: Biometrical Journal 7'221
1
A Regularized MANOVA Test for Semicontinuous High‐Dimensional Data1
Designing multicenter individually randomized group treatment trials1
Mixture Cure Semiparametric Accelerated Failure Time Models With Partly Interval‐Censored Data1
τ$\tau$‐Inflated Beta Regression Model for Estimating τ$\tau$‐Restricted Means and Event‐Free Probabilities for Censored Time‐to‐Event Data1
Causal inference in the absence of positivity: The role of overlap weights1
Statistical review of animal trials—A guideline1
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Estimating the correlation between semi‐competing risk survival endpoints1
Individual risk prediction: Comparing random forests with Cox proportional‐hazards model by a simulation study1
Linear mixed models. A practical guide using statistical software by Brady T.West, Kathleen B.Welch, Andrzej T.Gałecki, third edition, New York: Chapman & Hall/CRC. 2022. 489 pages. ISBN: 978‐1‐001
High‐Dimensional Bayesian Semiparametric Models for Small Samples: A Principled Approach to the Analysis of Cytokine Expression Data1
Functional Data Analysis: An Introduction and Recent Developments1
Modified Conditional Borrowing‐By‐Part Power Prior for Dynamic and Parameter‐Specific Information Borrowing of the Gaussian Endpoint1
Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data1
Application of gap time analysis with flexible hazards to pulmonary exacerbations in the EPIC observational study1
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On repeated diagnostic testing in screening for a medical condition: How often should the diagnostic test be repeated?1
Evaluating cancer screening programs using survival analysis1
Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data1
Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling1
Editorial for the special collection “Towards neutral comparison studies in methodological research”1
Masthead: Biometrical Journal 6'231
Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long‐term survivors: Application to a lung cancer dataset1
Influence of cluster‐period cells in stepped wedge cluster randomized trials1
Firth‐Type Penalized Methods of the Modified Poisson and Least‐Squares Regression Analyses for Binary Outcomes1
Toward Power Analysis for Partial Least Squares‐Based Methods1
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 97803671838371
Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text1
Optimization of adaptive designs with respect to a performance score1
Editorial Board: Biometrical Journal 1'241
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High‐dimensional feature selection in competing risks modeling: A stable approach using a split‐and‐merge ensemble algorithm1
Contents: Biometrical Journal 4'221
A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data1
Contents: Biometrical Journal 5'211
Stratified modestly weighted log‐rank tests in settings with an anticipated delayed separation of survival curves1
On the use of cross‐validation for the calibration of the adaptive lasso1
Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study1
Multiplicity adjustments for the Dunnett procedure under heterokcedasticity1
Simulating longitudinal data from marginal structural models using the additive hazard model1
Unscaled Indices for Assessing Agreement of Functional Data1
Sample Size Calculation for an Individual Stepped‐Wedge Randomized Trial1
Sparse Group Penalties for bi‐level variable selection1
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method1
Adaptive dose‐response studies to establish proof‐of‐concept in learning‐phase clinical trials1
A note of feature screening via a rank‐based coefficient of correlation1
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A Preplanned Multi‐Stage Platform Trial for Discovering Multiple Superior Treatments With Control of FWER and Power1
Machine learning for knowledge discovery with R: Methodologies for modeling, inference and prediction, Kao‐TaiTsai, Boca Raton, FL: Chapman and Hall/CRC Press.2021. 244 pages. Hardback price GBP 74.991
Cover Picture: Biometrical Journal 8'231
Decoupling power and type I error rate considerations when incorporating historical control data using a test‐then‐pool approach1
Single‐arm Phase II Survival Trial Design. JianrongWu(2021). Boca Raton: Chapman & Hall/CRC Press. 273 pages. ISBN: 978‐0‐3676‐5345‐3. List price: £130 (Hardback), £40.49 (eBook)1
Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data1
A Bayesian longitudinal trend analysis of count data with Gaussian processes1
Adapting SIMEX to correct for bias due to interval‐censored outcomes in survival analysis with time‐varying exposure1
Statistical methods for global health and epidemiology: Principles, methods and applications, Edited by XinguangChen and (Din) Ding‐GengChen, Cham: Springer Nature Switzerland, 2020. ISBN 978‐3‐030‐351
Categories, components, and techniques in a modular construction of basket trials for application and further research1
A novel nonparametric time‐dependent precision–recall curve estimator for right‐censored survival data1
On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models1
A comparison of strategies for selecting auxiliary variables for multiple imputation1
Confidence intervals for discrete data in clinical research by VivekPradhan, Ashis K.Gangopadhyay, Sandeep M.Menon, CynthiaBasu, TathagataBanerjee.Boca Raton, FL: Chapman & Hall/CRC Press. 2022. 21
Surrogacy validation for time‐to‐event outcomes with illness‐death frailty models1
Goodness‐of‐Fit Testing for a Regression Model With a Doubly Truncated Response1
Regression models for order‐of‐addition experiments1
Cover Picture: Biometrical Journal 7'211
Issue Information: Biometrical Journal 2'251
TITE‐gBOIN‐ET: Time‐to‐event generalized Bayesian optimal interval design to accelerate dose‐finding accounting for ordinal graded efficacy and toxicity outcomes1
Domain Selection for Gaussian Process Data: An Application to Electrocardiogram Signals1
Robust incorporation of historical information with known type I error rate inflation1
Masthead: Biometrical Journal 8'231
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding1
Semiparametric Additive Modeling of the Restricted Mean Survival Time1
A method for determining groups in cumulative incidence curves in competing risk data1
A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations1
Contents: Biometrical Journal 1'221
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Causal inference in case of near‐violation of positivity: comparison of methods1
Survivor Average Causal Effects for Continuous Time: A Principal Stratification Approach to Causal Inference With Semicompeting Risks1
Estimating the optimal population upper bound for scan methods in retrospective disease surveillance1
Bayesian two‐stage sequential enrichment design for biomarker‐guided phase II trials for anticancer therapies1
Regularized parametric survival modeling to improve risk prediction models1
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Adaptive Bayesian phase I clinical trial designs for estimating the maximum tolerated doses for two drugs while fully utilizing all toxicity information1
Jointly pooling aggregated effect sizes and their standard errors from studies with continuous clinical outcomes1
Interpretability of bi‐level variable selection methods1
Analysis of Nonconcurrent Controls in Adaptive Platform Trials: Separating Randomized and Nonrandomized Information1
A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data1
How Should Parallel Cluster Randomized Trials With a Baseline Period be Analyzed?—A Survey of Estimands and Common Estimators1
A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data1
Response‐adaptive randomization for multiarm clinical trials using context‐dependent information measures1
Confirmatory Adaptive Designs for Clinical Trials With Multiple Time‐to‐Event Outcomes in Multi‐state Markov Models1
Issue Information: Biometrical Journal 3'241
An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data1
Contents: Biometrical Journal 5'221
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 Spain1
Adaptive predictor‐set linear model: An imputation‐free method for linear regression prediction on data sets with missing values0
Hidden population size estimation and diagnostics using two respondent‐driven samples with applications in Armenia0
Toward a standardized evaluation of imputation methodology0
Against the “one method fits all data sets” philosophy for comparison studies in methodological research0
Cover Picture: Biometrical Journal 3'230
Comparative review of novel model‐assisted designs for phase I/II clinical trials0
Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model0
Deep learning and differential equations for modeling changes in individual‐level latent dynamics between observation periods0
Semiparametric empirical likelihood inference for abundance from one‐inflated capture–recapture data0
Bayesian time‐varying autoregressive models of COVID‐19 epidemics0
Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization0
Using real‐world data to predict health outcomes—The prediction design: Application and sample size planning0
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Variable selection in linear regression models: Choosing the best subset is not always the best choice0
A Novel Method for Nonparametric Statistical Inference for Niche Overlap in Multiple Species0
Note on a stepwise procedure for rejecting at least k out of m hypotheses: A simple Holm‐type formulation and proof0
Correcting for heterogeneity and non‐comparability bias in multicenter clinical trials with a rescaled random‐effect excess hazard model0
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