Biometrical Journal

Papers
(The TQCC of Biometrical Journal is 2. 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 2020-09-01 to 2024-09-01.)
ArticleCitations
Missing data: A statistical framework for practice93
Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets78
Nowcasting the COVID‐19 pandemic in Bavaria54
An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions27
Stability of clinical prediction models developed using statistical or machine learning methods27
Nowcasting fatal COVID‐19 infections on a regional level in Germany21
A bias‐corrected meta‐analysis model for combining, studies of different types and quality21
Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): Rationale and statistical concept of a meta‐analytic study15
On the logic of collapsibility for causal effect measures15
Phases of methodological research in biostatistics—Building the evidence base for new methods14
A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study14
A product‐limit estimator of the conditional survival function when cure status is partially known13
A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 202013
Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata13
Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation13
Bayesian regularization for flexible baseline hazard functions in Cox survival models12
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
An adjusted coefficient of determination (R2) for generalized linear mixed models in one go12
Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials11
gBOIN‐ET: The generalized Bayesian optimal interval design for optimal dose‐finding accounting for ordinal graded efficacy and toxicity in early clinical trials10
Categories, components, and techniques in a modular construction of basket trials for application and further research10
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method9
Time‐dependent ROC curve estimation for interval‐censored data8
Generalized pairwise comparisons for censored data: An overview8
A joint frailty‐copula model for meta‐analytic validation of failure time surrogate endpoints in clinical trials8
Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials7
Bounds for the weight of external data in shrinkage estimation7
Meta‐analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches7
Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework7
Use of correlated scrambling variables in quantitative randomized response technique7
A mechanistic spatio‐temporal modeling of COVID‐19 data7
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
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
Frequentist performances of Bayesian prediction intervals for random‐effects meta‐analysis6
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
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
Power and sample size for random coefficient regression models in randomized experiments with monotone missing data6
Against the “one method fits all data sets” philosophy for comparison studies in methodological research6
A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data6
Maximin design of cluster randomized trials with heterogeneous costs and variances6
On the role of benchmarking data sets and simulations in method comparison studies6
Simulating longitudinal data from marginal structural models using the additive hazard model5
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials5
A new measure of treatment effect in clinical trials involving competing risks based on generalized pairwise comparisons5
Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study5
The nonparametric Behrens–Fisher problem in partially complete clustered data5
Approximate maximum likelihood estimation for logistic regression with covariate measurement error5
Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events5
Model selection characteristics when using MCP‐Mod for dose–response gene expression data5
Robust group sequential designs for trials with survival endpoints and delayed response5
Combining biomarkers by maximizing the true positive rate for a fixed false positive rate5
Hypothesis testing in multivariate normal models with block circular covariance structures5
Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data5
Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model4
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
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder4
Using mortality to predict incidence for rare and lethal cancers in very small areas4
Individual risk prediction: Comparing random forests with Cox proportional‐hazards model by a simulation study4
High‐dimensional feature selection in competing risks modeling: A stable approach using a split‐and‐merge ensemble algorithm4
New methods for the additive hazards model with the informatively interval‐censored failure time data4
Joint estimation of case fatality rate of COVID‐19 and power of quarantine strategy performed in Wuhan, China4
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution4
A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data4
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
Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm4
Bayesian analysis of one‐inflated models for elusive population size estimation4
New weighting methods when cases are only a subset of events in a nested case‐control study4
An iterative method to protect the type I error rate in bioequivalence studies under two‐stage adaptive 2×2 crossover designs4
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
Modeling time‐varying recruitment rates in multicenter clinical trials4
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
The modified fuzzy mortality model based on the algebra of ordered fuzzy numbers4
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
Improved generalized raking estimators to address dependent covariate and failure‐time outcome error4
Toward a standardized evaluation of imputation methodology4
Two sensitive characteristics and their overlap with two questions per card3
Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression3
Optimal dose‐finding for efficacy–safety models3
Randomized ‐values for multiple testing and their application in replicability analysis3
A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers3
Functional modeling of recurrent events on time‐to‐event processes3
Cox regression analysis for distorted covariates with an unknown distortion function3
Statistical inference for the difference between two maximized Youden indices obtained from correlated biomarkers3
Improving adaptive seamless designs through Bayesian optimization3
Restricted survival benefit with right‐censored data3
On the relevance of prognostic information for clinical trials: A theoretical quantification3
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
An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data3
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 new robust Bayesian small area estimation via ‐stable model for estimating the proportion of athletic students in California3
Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm3
Sample size determination for comparing accuracies between two diagnostic tests under a paired design3
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
Subclassification estimation of the weighted average treatment effect3
Modeling and computation of multistep batch testing for infectious diseases3
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
On the equivalence of one‐inflated zero‐truncated and zero‐truncated one‐inflated count data likelihoods3
TITE‐gBOIN‐ET: Time‐to‐event generalized Bayesian optimal interval design to accelerate dose‐finding accounting for ordinal graded efficacy and toxicity outcomes3
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
Discussion on ‘Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials'3
Isolating cost drivers in interstitial lung disease treatment using nonparametric Bayesian methods2
Explaining the optimistic performance evaluation of newly proposed methods: A cross‐design validation experiment2
On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models2
Variable selection in linear regression models: Choosing the best subset is not always the best choice2
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
Designing multicenter individually randomized group treatment trials2
D‐optimal designs of mean‐covariance models for longitudinal data2
Expected life years compared to the general population2
Quantifying uncertainty in method of moments estimates of the heterogeneity variance in random effects meta‐analysis2
A quantile‐slicing approach for sufficient dimension reduction with censored responses2
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
Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data2
Comparison of statistical models to predict age‐standardized cancer incidence in Switzerland2
Joint control of consensus and evidence in Bayesian design of clinical trials2
Confident identification of subgroups from SNP testing in RCTs with binary outcomes2
A hidden Markov model for continuous longitudinal data with missing responses and dropout2
Type I multivariate zero‐inflated COM–Poisson regression model2
A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations2
Statistical review of animal trials—A guideline2
Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data2
Confirmatory adaptive group sequential designs for single‐arm phase II studies with multiple time‐to‐event endpoints2
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Mean residual life cure models for right‐censored data with and without length‐biased sampling2
Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes2
Semiparametric empirical likelihood inference for abundance from one‐inflated capture–recapture data2
Robust probit linear mixed models for longitudinal binary data2
Blinded sample size recalculation in adaptive enrichment designs2
Rectangular tolerance regions and multivariate normal reference regions in laboratory medicine2
Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation2
Assurance in vaccine efficacy clinical trial design based on immunological responses2
Exact simultaneous confidence intervals for logical selection of a biomarker cut‐point2
A neutral comparison of statistical methods for analyzing longitudinally measured ordinal outcomes in rare diseases2
A unified framework for weighted parametric group sequential design2
Synthesizing secondary data into survival analysis to improve estimation efficiency2
Penalized joint generalized estimating equations for longitudinal binary data2
Clustered restricted mean survival time regression2
Inverse problem approach to regularized regression models with application to predicting recovery after stroke2
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