
Adjusting for publication bias in metaanalysis via inverse probability weighting using clinical trial registries
Publication bias is a major concern in conducting systematic reviews and...
read it

On the role of data, statistics and decisions in a pandemic
A pandemic poses particular challenges to decisionmaking with regard to...
read it

Improving the Power of Economic Experiments Using Adaptive Designs
An important issue for many economic experiments is how the experimenter...
read it

Improving Adaptive Seamless Designs through Bayesian optimization
We propose to use Bayesian optimization (BO) to improve the efficiency o...
read it

Blinded sample size recalculation in multiple composite population designs with normal data and baseline adjustments
The increasing interest in subpopulation analysis has led to the develop...
read it

Design aspects of COVID19 treatment trials: Improving probability and time of favourable events
As a reaction to the pandemic of the severe acute respiratory syndrome c...
read it

Subgroup identification in individual patient data metaanalysis using modelbased recursive partitioning
Modelbased recursive partitioning (MOB) can be used to identify subgrou...
read it

Is there a role for statistics in artificial intelligence?
The research on and application of artificial intelligence (AI) has trig...
read it

Survival analysis for AdVerse events with VarYing followup times (SAVVY) – estimation of adverse event risks
The SAVVY project aims to improve the analyses of adverse event (AE) dat...
read it

Survival analysis for AdVerse events with VarYing followup times (SAVVY) – comparison of adverse event risks in randomized controlled trials
Analyses of adverse events (AEs) are an important aspect of benefitrisk...
read it

Causal inference methods for small nonrandomized studies: Methods and an application in COVID19
The usual development cycles are too slow for the development of vaccine...
read it

On weakly informative prior distributions for the heterogeneity parameter in Bayesian randomeffects metaanalysis
The normalnormal hierarchical model (NNHM) constitutes a simple and wid...
read it

Using clinical trial registries to inform Copas selection model for publication bias in metaanalysis
Prospective registration of study protocols in clinical trial registries...
read it

Clinical trials impacted by the COVID19 pandemic: Adaptive designs to the rescue?
Very recently the new pathogen severe acute respiratory syndrome coronav...
read it

Shrinkage estimation for doseresponse modeling in phase II trials with multiple schedules
Recently, phase II trials with multiple schedules (frequency of administ...
read it

Bounds for the weight of external data in shrinkage estimation
Dynamical borrowing of information may be facilitated via shrinkage esti...
read it

A Bayesian timetoevent pharmacokinetic model for phase I doseescalation trials with multiple schedules
Phase I doseescalation trials must be guided by a safety model in order...
read it

Estimating and comparing adverse event probabilities in the presence of varying followup times and competing events
Safety analyses in terms of adverse events (AEs) are an important aspect...
read it

Survival analysis for AdVerse events with VarYing followup times (SAVVY): Rationale and statistical concept of a metaanalytic study
The assessment of safety is an important aspect of the evaluation of new...
read it

Decline of COPD exacerbations in clinical trials over two decades – a systematic review and metaregression
BACKGROUND: An important goal of chronic obstructive pulmonary disease (...
read it

Randomeffects metaanalysis of phase I dosefinding studies using stochastic process priors
Phase I dosefinding studies aim at identifying the maximal tolerated do...
read it

Blinded continuous information monitoring of recurrent event endpoints with time trends in clinical trials
Blinded sample size reestimation and information monitoring based on bl...
read it

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...
read it

Phase I doseescalation trials with more than one dosing regimen
Traditionally, phase I doseescalation oncology trials are designed to f...
read it

Contribution to the discussion of "When should metaanalysis avoid making hidden normality assumptions?": A Bayesian perspective
Contribution to the discussion of "When should metaanalysis avoid makin...
read it

Metaanalysis of few studies involving rare events
Metaanalyses of clinical trials targeting rare events face particular c...
read it

Likelihoodbased metaanalysis with few studies: Empirical and simulation studies
Standard randomeffects metaanalysis methods perform poorly when applie...
read it

Dynamically borrowing strength from another study
Metaanalytic methods may be used to combine evidence from different sou...
read it

Model averaging for robust extrapolation in evidence synthesis
Extrapolation from a source to a target, e.g., from adults to children, ...
read it
Tim Friede
is this you? claim profile