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Sample size re-estimation incorporating prior information on a nuisance parameter

Published:2017-11-27 Issue:2 Volume:17 Page:126-143
ISSN:1539-1604
Container-title:Pharmaceutical Statistics
language:en
Short-container-title:Pharmaceutical Statistics

Author:

Mütze Tobias¹^ORCID,Schmidli Heinz²,Friede Tim¹³

Affiliation:

1. Department of Medical Statistics; University Medical Center Göttingen; Göttingen Germany

2. Statistical Methodology; Novartis Pharma AG; Basel Switzerland

3. DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen; Göttingen Germany

Funder

Deutsches Zentrum für Herz-Kreislaufforschung

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pst.1837/fullpdf

Reference46 articles.

1. Meta-analytic estimation of measurement variability and assessment of its impact on decision-making: the case of perioperative haemoglobin concentration monitoring;Charpentier;BMC Med Res Method,2016

2. Methodological issues in meta-analyzing standard deviations: comment on Bond and DePaulo (2008);Pigott;Am Psychological Assoc,2008

3. Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials;Schmidli;Comput Stat Data Anal,2017

4. Sample size calculations for clinical studies allowing for uncertainty about the variance;Julious;Pharm Stat,2006

5. The role of internal pilot studies in increasing the efficiency of clinical trials;Wittes;Stat Med,1990

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2. Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools;Journal of Statistical Software;2021

3. Distribution theory following blinded and unblinded sample size re-estimation under parametric models;Communications in Statistics - Simulation and Computation;2019-11-22

4. Asymptotic properties of maximum likelihood estimators with sample size recalculation;Statistical Papers;2019-02-28

5. Blinded sample size reestimation in event‐driven clinical trials: Methods and an application in multiple sclerosis;Pharmaceutical Statistics;2019-01-16

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