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 2020-11-01 to 2024-11-01.)
ArticleCitations
Missing data: A statistical framework for practice94
Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets79
Nowcasting the COVID‐19 pandemic in Bavaria55
Stability of clinical prediction models developed using statistical or machine learning methods28
An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions27
Nowcasting fatal COVID‐19 infections on a regional level in Germany21
On the logic of collapsibility for causal effect measures16
An adjusted coefficient of determination (R2) for generalized linear mixed models in one go15
Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): Rationale and statistical concept of a meta‐analytic study15
A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study14
Phases of methodological research in biostatistics—Building the evidence base for new methods14
A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 202013
Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation13
A product‐limit estimator of the conditional survival function when cure status is partially known13
Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials12
Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes12
Accurate error control in high‐dimensional association testing using conditional false discovery rates12
Categories, components, and techniques in a modular construction of basket trials for application and further research11
gBOIN‐ET: The generalized Bayesian optimal interval design for optimal dose‐finding accounting for ordinal graded efficacy and toxicity in early clinical trials10
Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study10
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method9
Meta‐analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches8
Time‐dependent ROC curve estimation for interval‐censored data8
Generalized pairwise comparisons for censored data: An overview8
On the role of benchmarking data sets and simulations in method comparison studies7
Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials7
Bounds for the weight of external data in shrinkage estimation7
A mechanistic spatio‐temporal modeling of COVID‐19 data7
Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework7
Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials7
Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data7
Against the “one method fits all data sets” philosophy for comparison studies in methodological research7
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 distributions7
Power and sample size for random coefficient regression models in randomized experiments with monotone missing data7
Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies6
Using independent cross‐sectional survey data to predict post‐migration health trajectories among refugees by estimating transition probabilities and their variances6
Maximin design of cluster randomized trials with heterogeneous costs and variances6
Frequentist performances of Bayesian prediction intervals for random‐effects meta‐analysis6
A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data6
Impact of the matching algorithm on the treatment effect estimate: A neutral comparison study6
Random‐effects meta‐analysis models for the odds ratio in the case of rare events under different data‐generating models: A simulation study6
Bayesian time‐varying autoregressive models of COVID‐19 epidemics6
Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis6
Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events5
Individual risk prediction: Comparing random forests with Cox proportional‐hazards model by a simulation study5
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials5
Hypothesis testing in multivariate normal models with block circular covariance structures5
Model selection characteristics when using MCP‐Mod for dose–response gene expression data5
Simulating longitudinal data from marginal structural models using the additive hazard model5
Combining biomarkers by maximizing the true positive rate for a fixed false positive rate5
Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data5
The modified fuzzy mortality model based on the algebra of ordered fuzzy numbers5
Robust group sequential designs for trials with survival endpoints and delayed response5
Comparison of normal distribution–based and nonparametric decision limits on the GH‐2000 score for detecting growth hormone misuse (doping) in sport4
Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling4
Correcting the bias of the net benefit estimator due to right‐censored observations4
Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis4
Causal inference in case of near‐violation of positivity: comparison of methods4
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder4
High‐dimensional feature selection in competing risks modeling: A stable approach using a split‐and‐merge ensemble algorithm4
Joint estimation of case fatality rate of COVID‐19 and power of quarantine strategy performed in Wuhan, China4
Improved generalized raking estimators to address dependent covariate and failure‐time outcome error4
On the relevance of prognostic information for clinical trials: A theoretical quantification4
An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data4
A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data4
Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints4
A note of feature screening via a rank‐based coefficient of correlation4
Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm4
New weighting methods when cases are only a subset of events in a nested case‐control study4
New methods for the additive hazards model with the informatively interval‐censored failure time data4
Toward a standardized evaluation of imputation methodology4
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution4
Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model4
Modeling time‐varying recruitment rates in multicenter clinical trials4
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 Spain4
Using mortality to predict incidence for rare and lethal cancers in very small areas4
Bayesian analysis of one‐inflated models for elusive population size estimation4
On optimal two‐stage testing of multiple mediators4
M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality4
Sample size determination for comparing accuracies between two diagnostic tests under a paired design3
Restricted survival benefit with right‐censored data3
Modeling and computation of multistep batch testing for infectious diseases3
Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression3
Semiparametric marginal methods for clustered data adjusting for informative cluster size with nonignorable zeros3
Estimating the optimal population upper bound for scan methods in retrospective disease surveillance3
Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text3
A new robust Bayesian small area estimation via ‐stable model for estimating the proportion of athletic students in California3
Cox regression analysis for distorted covariates with an unknown distortion function3
A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data3
Improving adaptive seamless designs through Bayesian optimization3
Subclassification estimation of the weighted average treatment effect3
A comparative study of in vitro dose–response estimation under extreme observations3
A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data3
Randomized ‐values for multiple testing and their application in replicability analysis3
Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation3
Functional modeling of recurrent events on time‐to‐event processes3
Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm3
On the equivalence of one‐inflated zero‐truncated and zero‐truncated one‐inflated count data likelihoods3
A Q‐Q plot aids interpretation of the false discovery rate3
A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection3
Two sensitive characteristics and their overlap with two questions per card3
A hidden Markov model for continuous longitudinal data with missing responses and dropout3
Discussion on ‘Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials'3
Optimal dose‐finding for efficacy–safety models3
Correcting for heterogeneity and non‐comparability bias in multicenter clinical trials with a rescaled random‐effect excess hazard model3
Multiple two‐sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry3
A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers3
TITE‐gBOIN‐ET: Time‐to‐event generalized Bayesian optimal interval design to accelerate dose‐finding accounting for ordinal graded efficacy and toxicity outcomes3
Statistical inference for the difference between two maximized Youden indices obtained from correlated biomarkers3
Clustered restricted mean survival time regression2
A zero‐inflated endemic–epidemic model with an application to measles time series in Germany2
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?2
Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data2
Explaining the optimistic performance evaluation of newly proposed methods: A cross‐design validation experiment2
Joint control of consensus and evidence in Bayesian design of clinical trials2
Blinded sample size recalculation in adaptive enrichment designs2
Factor‐Analytic Variance–Covariance Structures for Prediction Into a Target Population of Environments2
Type I multivariate zero‐inflated COM–Poisson regression model2
A neutral comparison of statistical methods for analyzing longitudinally measured ordinal outcomes in rare diseases2
Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data2
D‐optimal designs of mean‐covariance models for longitudinal data2
Expected life years compared to the general population2
The Bayesian simulation study (BASIS) framework for simulation studies in statistical and methodological research2
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Using marginal structural joint models to estimate the effect of a time‐varying treatment on recurrent events and survival: An application on arrhythmogenic cardiomyopathy2
Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring2
Robust probit linear mixed models for longitudinal binary data2
Comparison of statistical models to predict age‐standardized cancer incidence in Switzerland2
Rectangular tolerance regions and multivariate normal reference regions in laboratory medicine2
Monotonicity conditions for avoiding counterintuitive decisions in basket trials2
Assurance in vaccine efficacy clinical trial design based on immunological responses2
Exact simultaneous confidence intervals for logical selection of a biomarker cut‐point2
A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations2
Statistical review of animal trials—A guideline2
Designing multicenter individually randomized group treatment trials2
Confirmatory adaptive group sequential designs for single‐arm phase II studies with multiple time‐to‐event endpoints2
Penalized joint generalized estimating equations for longitudinal binary data2
Quantifying uncertainty in method of moments estimates of the heterogeneity variance in random effects meta‐analysis2
Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes2
Variable selection in linear regression models: Choosing the best subset is not always the best choice2
On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models2
Semiparametric empirical likelihood inference for abundance from one‐inflated capture–recapture data2
Simple confidence interval and region formulas for comparing diagnostic likelihood ratios under a paired design2
Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials2
Gene–environment interaction identification via penalized robust divergence2
Confident identification of subgroups from SNP testing in RCTs with binary outcomes2
A unified framework for weighted parametric group sequential design2
Synthesizing secondary data into survival analysis to improve estimation efficiency2
Mean residual life cure models for right‐censored data with and without length‐biased sampling2
Adaptive dose‐response studies to establish proof‐of‐concept in learning‐phase clinical trials1
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A novel nonparametric time‐dependent precision–recall curve estimator for right‐censored survival data1
Causal decomposition maps: An exploratory tool for designing area‐level interventions aimed at reducing health disparities1
Nonparametric estimation of recursive point processes with application to mumps in Pennsylvania1
Estimation in optimal treatment regimes based on mean residual lifetimes with right‐censored data1
Reflections on the concept of optimality of single decision point treatment regimes1
Regression models for order‐of‐addition experiments1
Simultaneous confidence tubes for comparing several multivariate linear regression models1
Sample size calculation for the combination test under nonproportional hazards1
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Model misspecification and bias for inverse probability weighting estimators of average causal effects1
Exact change point detection with improved power in small‐sample binomial sequences1
A likelihood ratio test for completed sampling in population size estimation studies1
Some new results on Cox–Czanner divergence and their applications in survival studies1
Two‐stage screened selection designs for randomized phase II trials with time‐to‐event endpoints1
Estimating the correlation between semi‐competing risk survival endpoints1
Sparse Group Penalties for bi‐level variable selection1
Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis1
A semiparametric method for evaluating causal effects in the presence of error‐prone covariates1
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Disease mapping method comparing the spatial distribution of a disease with a control disease1
DICE: A Bayesian model for early dose finding in phase I trials with multiple treatment courses1
Spatial correlated incidence modeling with zero inflation1
A Bayesian longitudinal trend analysis of count data with Gaussian processes1
Editorial for the special collection “Towards neutral comparison studies in methodological research”1
Variable selection for nonparametric additive Cox model with interval‐censored data1
A Bayesian model‐based reduced major axis regression1
Stratified modestly weighted log‐rank tests in settings with an anticipated delayed separation of survival curves1
Identification of subgroups via partial linear regression modeling approach1
Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment1
A classification model for continuous responses: Identifying risk perception groups on health‐related activities1
Finite mixtures in capture–recapture surveys for modeling residency patterns in marine wildlife populations1
Opportunities and challenges with decentralized trials in Neuroscience1
Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data1
A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching1
A censored quantile regression approach for relative survival analysis: Relative survival quantile regression1
Health Care Provider Clustering Using Fusion Penalty in Quasi‐Likelihood1
Multiobjective semisupervised learning with a right‐censored endpoint adapted to the multiple imputation framework1
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Deep transformation models for functional outcome prediction after acute ischemic stroke1
A Bayesian hierarchical approach to account for evidence and uncertainty in the modeling of infectious diseases: An application to COVID‐191
One‐two dependence and probability inequalities between one‐ and two‐sided union‐intersection tests1
Valid instrumental variable selection method using negative control outcomes and constructing efficient estimator1
Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long‐term survivors: Application to a lung cancer dataset1
Analysis of survival data with nonproportional hazards: A comparison of propensity‐score‐weighted methods1
Adaptive data collection for intraindividual studies affected by adherence1
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
Weighted estimators of the complier average causal effect on restricted mean survival time with observed instrument–outcome confounders1
Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies1
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Surrogacy validation for time‐to‐event outcomes with illness‐death frailty models1
Generalizing treatment effects with incomplete covariates: Identifying assumptions and multiple imputation algorithms1
Correcting conditional mean imputation for censored covariates and improving usability1
Sample size calculation for one‐armed clinical trials with clustered data and binary outcome1
A frequentist approach to dynamic borrowing1
Masthead: Biometrical Journal 3'211
Sample size planning for multiple contrast tests1
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 study1
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Bayesian and influence function‐based empirical likelihoods for inference of sensitivity to the early diseased stage in diagnostic tests1
Penalized Regression Methods With Modified Cross‐Validation and Bootstrap Tuning Produce Better Prediction Models1
Proportion of treatment effect mediated by surrogate endpoints1
On efficient posterior inference in normalized power prior Bayesian analysis1
Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: A simulation study1
Variance estimators for weighted and stratified linear dose–response function estimators using generalized propensity score1
CITIES: Clinical trials with intercurrent events simulator1
Correction: A product‐limit estimator of the conditional survival function when cure status is partially known1
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models1
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Estimating causal effects in observational studies for survival data with a cure fraction using propensity score adjustment1
Rejoinder for discussions on correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials1
Adaptive local false discovery rate procedures for highly spiky data and their application RNA sequencing data of yeastSET4deletion mutants1
Evaluating cancer screening programs using survival analysis1
Joint frailty model for recurrent events and death in presence of cure fraction: Application to breast cancer data1
Adaptive Bayesian phase I clinical trial designs for estimating the maximum tolerated doses for two drugs while fully utilizing all toxicity information1
Nonparametric Bayesian functional two‐part random effects model for longitudinal semicontinuous data analysis1
Multivariate joint model under competing risks to predict death of hospitalized patients for SARS‐CoV‐2 infection1
Subgroup‐adaptive randomization for subgroup confirmation in clinical trials1
Optimization of adaptive designs with respect to a performance score1
Relative likelihood ratios for neutral comparisons of statistical tests in simulation studies1
A neutral comparison of algorithms to minimize L0 penalties for high‐dimensional variable selection1
svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups1
On the use of cross‐validation for the calibration of the adaptive lasso1
Modified score function for monotone likelihood in the semiparametric mixture cure model1
A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data1
Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data1
Recoverability and estimation of causal effects under typical multivariable missingness mechanisms1
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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 Cai1
Biomarker‐based precision dose finding for immunotherapy combined with radiotherapy1
A platform for comparing subgroup identification methodologies1
Generalized expectile regression with flexible response function1
Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis1
Statistical inferences on nonconstant relative potency with quantal response data1
Optimal Stein‐type goodness‐of‐fit tests for count data1
Causal effect estimation for multivariate continuous treatments1
Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcome1
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Editorial Board: Biometrical Journal 6'210
Cover Picture: Biometrical Journal 8'210
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