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06/29/2023
How trace plots help interpret meta-analysis results
The trace plot is seldom used in meta-analysis, yet it is a very informa...
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06/29/2023
Methods for non-proportional hazards in clinical trials: A systematic review
For the analysis of time-to-event data, frequently used methods such as ...
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01/09/2023
The impact of neglected confounding and interactions in mixed-effects meta-regression
Analysts seldom include interaction terms in meta-regression model, what...
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12/03/2022
Accounting for Time Dependency in Meta-Analyses of Concordance Probability Estimates
Recent years have seen the development of many novel scoring tools for d...
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09/14/2022
Model-based recursive partitioning for discrete event times
Model-based recursive partitioning (MOB) is a semi-parametric statistica...
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09/13/2022
Using the bayesmeta R package for Bayesian random-effects meta-regression
BACKGROUND: Random-effects meta-analysis within a hierarchical normal mo...
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08/02/2022
On the role of benchmarking data sets and simulations in method comparison studies
Method comparisons are essential to provide recommendations and guidance...
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06/22/2022
Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
Clinical trials disruption has always represented a non negligible part ...
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03/09/2022
Double arcsine transform not appropriate for meta-analysis
The variance-stabilizing Freeman-Tukey double arcsine transform was orig...
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02/25/2022
Summarizing empirical information on between-study heterogeneity for Bayesian random-effects meta-analysis
In Bayesian meta-analysis, the specification of prior probabilities for ...
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02/01/2022
MetaStan: An R package for Bayesian (model-based) meta-analysis using Stan
Meta-analysis methods are used to combine evidence from multiple studies...
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01/14/2022
Robust Confidence Intervals for Meta-Regression with Correlated Moderators
Mixed-effects meta-regression models provide a powerful tool for evidenc...
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09/26/2021
Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries
Publication bias is a major concern in conducting systematic reviews and...
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08/06/2021
On the role of data, statistics and decisions in a pandemic
A pandemic poses particular challenges to decision-making with regard to...
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08/05/2021
Improving the Power of Economic Experiments Using Adaptive Designs
An important issue for many economic experiments is how the experimenter...
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05/19/2021
Improving Adaptive Seamless Designs through Bayesian optimization
We propose to use Bayesian optimization (BO) to improve the efficiency o...
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11/30/2020
Blinded sample size re-calculation in multiple composite population designs with normal data and baseline adjustments
The increasing interest in subpopulation analysis has led to the develop...
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11/27/2020
Design aspects of COVID-19 treatment trials: Improving probability and time of favourable events
As a reaction to the pandemic of the severe acute respiratory syndrome c...
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09/22/2020
Subgroup identification in individual patient data meta-analysis using model-based recursive partitioning
Model-based recursive partitioning (MOB) can be used to identify subgrou...
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09/13/2020
Is there a role for statistics in artificial intelligence?
The research on and application of artificial intelligence (AI) has trig...
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08/18/2020
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) – estimation of adverse event risks
The SAVVY project aims to improve the analyses of adverse event (AE) dat...
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08/18/2020
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) – comparison of adverse event risks in randomized controlled trials
Analyses of adverse events (AEs) are an important aspect of benefit-risk...
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07/31/2020
Causal inference methods for small non-randomized studies: Methods and an application in COVID-19
The usual development cycles are too slow for the development of vaccine...
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07/16/2020
On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis
The normal-normal hierarchical model (NNHM) constitutes a simple and wid...
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05/29/2020
Using clinical trial registries to inform Copas selection model for publication bias in meta-analysis
Prospective registration of study protocols in clinical trial registries...
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05/28/2020
Clinical trials impacted by the COVID-19 pandemic: Adaptive designs to the rescue?
Very recently the new pathogen severe acute respiratory syndrome coronav...
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05/08/2020
Shrinkage estimation for dose-response modeling in phase II trials with multiple schedules
Recently, phase II trials with multiple schedules (frequency of administ...
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04/06/2020
Bounds for the weight of external data in shrinkage estimation
Dynamical borrowing of information may be facilitated via shrinkage esti...
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02/14/2020
A Bayesian time-to-event pharmacokinetic model for phase I dose-escalation trials with multiple schedules
Phase I dose-escalation trials must be guided by a safety model in order...
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01/16/2020
Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events
Safety analyses in terms of adverse events (AEs) are an important aspect...
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11/30/2019
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): Rationale and statistical concept of a meta-analytic study
The assessment of safety is an important aspect of the evaluation of new...
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08/17/2019
Decline of COPD exacerbations in clinical trials over two decades – a systematic review and meta-regression
BACKGROUND: An important goal of chronic obstructive pulmonary disease (...
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08/01/2019
Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors
Phase I dose-finding studies aim at identifying the maximal tolerated do...
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03/06/2019
Blinded continuous information monitoring of recurrent event endpoints with time trends in clinical trials
Blinded sample size re-estimation and information monitoring based on bl...
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01/24/2019
Seamless phase II/III clinical trials using early outcomes for treatment or subgroup selection: Methods and aspects of their implementation
Adaptive seamless designs combine confirmatory testing, a domain of phas...
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11/23/2018
Phase I dose-escalation trials with more than one dosing regimen
Traditionally, phase I dose-escalation oncology trials are designed to f...
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09/17/2018
Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?": A Bayesian perspective
Contribution to the discussion of "When should meta-analysis avoid makin...
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09/12/2018
Meta-analysis of few studies involving rare events
Meta-analyses of clinical trials targeting rare events face particular c...
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07/24/2018
Likelihood-based meta-analysis with few studies: Empirical and simulation studies
Standard random-effects meta-analysis methods perform poorly when applie...
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06/04/2018
Dynamically borrowing strength from another study
Meta-analytic methods may be used to combine evidence from different sou...
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05/28/2018