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Pharmaceutical Statistics|November 28, 2009
Blinded sample size recalculation for clinical trials with normal data and baseline adjusted analysisTim Friede, Meinhard KieserComputer Methods and Programs in Biomedicine|December 25, 2022
Using the bayesmeta R package for Bayesian random-effects meta-regressionChristian Röver, Tim FriedeBiometrical Journal. Biometrische Zeitschrift|August 19, 2022
Blinded sample size recalculation in adaptive enrichment designsMarius Placzek, Tim FriedeStatistics in Medicine|June 14, 2017
Blinded sample size re-estimation in three-arm trials with 'gold standard' designTobias Mütze, Tim FriedeContemporary Clinical Trials|November 14, 2020
Causal inference methods for small non-randomized studies: Methods and an application in COVID-19Sarah Friedrich, Tim FriedeStatistics in Medicine|December 16, 2003
Intervention effects in observational survival studies with an application in total hip replacementsTim Friede, Robin HendersonStatistics in Medicine|January 10, 2002
On the inappropriateness of an EM algorithm based procedure for blinded sample size re-estimationTim Friede, Meinhard KieserBiometrical Journal. Biometrische Zeitschrift|October 22, 2008
A comparison of methods for adaptive treatment selectionTim Friede, Nigel StallardPharmaceutical Statistics|March 20, 2013
Blinded sample size re-estimation in superiority and noninferiority trials: bias versus variance in variance estimationTim Friede, Meinhard KieserBiometrical Journal. Biometrische Zeitschrift|February 22, 2023
On the role of benchmarking data sets and simulations in method comparison studiesSarah Friedrich, Tim FriedePageof 37