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 2020-05-01 to 2024-05-01.)
ArticleCitations
Missing data: A statistical framework for practice79
Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets68
Nowcasting the COVID‐19 pandemic in Bavaria48
An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions25
Component network meta‐analysis compared to a matching method in a disconnected network: A case study24
Nowcasting fatal COVID‐19 infections on a regional level in Germany20
A bias‐corrected meta‐analysis model for combining, studies of different types and quality18
Stability of clinical prediction models developed using statistical or machine learning methods16
Comparison of random‐effects meta‐analysis models for the relative risk in the case of rare events: A simulation study15
Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): Rationale and statistical concept of a meta‐analytic study13
Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation13
A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study13
On the logic of collapsibility for causal effect measures12
A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 202011
A product‐limit estimator of the conditional survival function when cure status is partially known11
Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata11
gBOIN‐ET: The generalized Bayesian optimal interval design for optimal dose‐finding accounting for ordinal graded efficacy and toxicity in early clinical trials10
Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes10
Causal mediation analysis in nested case‐control studies using conditional logistic regression10
Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART)9
Phases of methodological research in biostatistics—Building the evidence base for new methods9
Bayesian confidence intervals for the difference between variances of delta‐lognormal distributions8
Accurate error control in high‐dimensional association testing using conditional false discovery rates8
A joint frailty‐copula model for meta‐analytic validation of failure time surrogate endpoints in clinical trials8
Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials8
Bayesian regularization for flexible baseline hazard functions in Cox survival models8
Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures7
Categories, components, and techniques in a modular construction of basket trials for application and further research7
A note on the interpretation of tree‐based regression models7
Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework7
Generalized pairwise comparisons for censored data: An overview7
A mechanistic spatio‐temporal modeling of COVID‐19 data7
Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials7
Meta‐analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches7
Bounds for the weight of external data in shrinkage estimation6
Identifying subgroups of age and cohort effects in obesity prevalence6
Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials6
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method6
Impact of the matching algorithm on the treatment effect estimate: A neutral comparison study6
Using independent cross‐sectional survey data to predict post‐migration health trajectories among refugees by estimating transition probabilities and their variances6
An adjusted coefficient of determination (R2) for generalized linear mixed models in one go6
Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data6
Random‐effects meta‐analysis models for the odds ratio in the case of rare events under different data‐generating models: A simulation study5
Comparing linear discriminant analysis and supervised learning algorithms for binary classification—A method comparison study5
Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis5
Robust group sequential designs for trials with survival endpoints and delayed response5
Parametric mode regression for bounded responses5
Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies5
A new measure of treatment effect in clinical trials involving competing risks based on generalized pairwise comparisons5
Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modeling approach exploiting time‐varying covariates5
A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data5
Use of correlated scrambling variables in quantitative randomized response technique5
Power and sample size for random coefficient regression models in randomized experiments with monotone missing data5
Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data5
Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events5
Time‐dependent ROC curve estimation for interval‐censored data5
A generalized transition model for grouped longitudinal categorical data5
Maximin design of cluster randomized trials with heterogeneous costs and variances5
Doug Altman: Driving critical appraisal and improvements in the quality of methodological and medical research5
Frequentist performances of Bayesian prediction intervals for random‐effects meta‐analysis5
Against the “one method fits all data sets” philosophy for comparison studies in methodological research5
Correcting the bias of the net benefit estimator due to right‐censored observations4
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
Modeling time‐varying recruitment rates in multicenter clinical trials4
Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm4
A note of feature screening via a rank‐based coefficient of correlation4
New methods for the additive hazards model with the informatively interval‐censored failure time data4
Improved generalized raking estimators to address dependent covariate and failure‐time outcome error4
Combining biomarkers by maximizing the true positive rate for a fixed false positive rate4
Approximate maximum likelihood estimation for logistic regression with covariate measurement error4
Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model4
Bayesian time‐varying autoregressive models of COVID‐19 epidemics4
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 distributions4
The modified fuzzy mortality model based on the algebra of ordered fuzzy numbers4
An iterative method to protect the type I error rate in bioequivalence studies under two‐stage adaptive 2×2 crossover designs4
Joint estimation of case fatality rate of COVID‐19 and power of quarantine strategy performed in Wuhan, China4
Nonparametric screening and feature selection for ultrahigh‐dimensional Case II interval‐censored failure time data4
Comparison of normal distribution–based and nonparametric decision limits on the GH‐2000 score for detecting growth hormone misuse (doping) in sport4
On the role of benchmarking data sets and simulations in method comparison studies4
Hypothesis testing in multivariate normal models with block circular covariance structures4
Model selection characteristics when using MCP‐Mod for dose–response gene expression data4
Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints4
Simulating longitudinal data from marginal structural models using the additive hazard model4
Information fraction estimation based on the number of events within the standard treatment regimen4
The nonparametric Behrens–Fisher problem in partially complete clustered data4
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution4
Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling4
On optimal two‐stage testing of multiple mediators3
A comparative study of in vitro dose–response estimation under extreme observations3
Discussion on ‘Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials'3
A weighted FDR procedure under discrete and heterogeneous null distributions3
Empirical Bayes small area prediction under a zero‐inflated lognormal model with correlated random area effects3
TITE‐gBOIN‐ET: Time‐to‐event generalized Bayesian optimal interval design to accelerate dose‐finding accounting for ordinal graded efficacy and toxicity outcomes3
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder3
New weighting methods when cases are only a subset of events in a nested case‐control study3
Subclassification estimation of the weighted average treatment effect3
Two sensitive characteristics and their overlap with two questions per card3
Semiparametric marginal methods for clustered data adjusting for informative cluster size with nonignorable zeros3
A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers3
Personalized treatment plans with multivariate outcomes3
Cox regression analysis for distorted covariates with an unknown distortion function3
Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm3
Improving adaptive seamless designs through Bayesian optimization3
On the relevance of prognostic information for clinical trials: A theoretical quantification3
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials3
Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression3
Randomized ‐values for multiple testing and their application in replicability analysis3
A new robust Bayesian small area estimation via ‐stable model for estimating the proportion of athletic students in California3
Sensitivity and identification quantification by a relative latent model complexity perturbation in Bayesian meta‐analysis3
Causal inference in case of near‐violation of positivity: comparison of methods3
Bayesian analysis of one‐inflated models for elusive population size estimation3
Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data2
High‐dimensional feature selection in competing risks modeling: A stable approach using a split‐and‐merge ensemble algorithm2
Comments on Dr. Aniket Biswas' Letter to the Editor2
M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality2
Type I multivariate zero‐inflated COM–Poisson regression model2
Robust probit linear mixed models for longitudinal binary data2
Gene–environment interaction identification via penalized robust divergence2
A hidden Markov model for continuous longitudinal data with missing responses and dropout2
Functional modeling of recurrent events on time‐to‐event processes2
Rectangular tolerance regions and multivariate normal reference regions in laboratory medicine2
On the equivalence of one‐inflated zero‐truncated and zero‐truncated one‐inflated count data likelihoods2
Modeling and computation of multistep batch testing for infectious diseases2
Using mortality to predict incidence for rare and lethal cancers in very small areas2
Expected life years compared to the general population2
A Q‐Q plot aids interpretation of the false discovery rate2
Design‐based mapping of tree attributes by 3P sampling2
Variable selection in linear regression models: Choosing the best subset is not always the best choice2
A quantile‐slicing approach for sufficient dimension reduction with censored responses2
Estimating the optimal population upper bound for scan methods in retrospective disease surveillance2
Restricted survival benefit with right‐censored data2
Blinded sample size recalculation in adaptive enrichment designs2
Using marginal structural joint models to estimate the effect of a time‐varying treatment on recurrent events and survival: An application on arrhythmogenic cardiomyopathy2
A neutral comparison of statistical methods for analyzing longitudinally measured ordinal outcomes in rare diseases2
On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models2
Multiple two‐sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry2
Simple confidence interval and region formulas for comparing diagnostic likelihood ratios under a paired design2
Confident identification of subgroups from SNP testing in RCTs with binary outcomes2
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Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data2
A unified framework for weighted parametric group sequential design2
Confirmatory adaptive group sequential designs for single‐arm phase II studies with multiple time‐to‐event endpoints2
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A flexible hierarchical framework for improving inference in area‐referenced environmental health studies2
Comparison of statistical models to predict age‐standardized cancer incidence in Switzerland2
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An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data2
Inverse problem approach to regularized regression models with application to predicting recovery after stroke2
Optimal dose‐finding for efficacy–safety models2
Propensity score methods for time‐dependent cluster confounding2
Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text2
Toward a standardized evaluation of imputation methodology2
Variable selection with P‐splines in functional linear regression: Application in graft‐versus‐host disease2
Joint control of consensus and evidence in Bayesian design of clinical trials2
A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data2
A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data2
Synthesizing secondary data into survival analysis to improve estimation efficiency2
Individual risk prediction: Comparing random forests with Cox proportional‐hazards model by a simulation study2
Disease mapping method comparing the spatial distribution of a disease with a control disease2
Quantifying uncertainty in method of moments estimates of the heterogeneity variance in random effects meta‐analysis2
Statistical inference for the difference between two maximized Youden indices obtained from correlated biomarkers2
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