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2020 – today
- 2022
[j8]Lukas Baumann, Maximilian Pilz
, Meinhard Kieser:
blindrecalc - An R Package for Blinded Sample Size Recalculation. R J. 14(1): 137-145 (2022)- 2021
- [j7]Kevin Kunzmann, Maximilian Pilz, Carolin Herrmann, Géraldine Rauch, Meinhard Kieser:
The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R. J. Stat. Softw. 98(1) (2021)
2010 – 2019
- 2016
- [j6]Monika Pobiruchin, Sylvia Bochum, Uwe M. Martens, Meinhard Kieser, Wendelin Schramm:
A method for using real world data in breast cancer modeling. J. Biomed. Informatics 60: 385-394 (2016) - 2014
- [j5]Géraldine Rauch, Marius Wirths, Meinhard Kieser:
Consistency-adjusted alpha allocation methods for a time-to-event analysis of composite endpoints. Comput. Stat. Data Anal. 75: 151-161 (2014) - 2013
- [j4]Géraldine Rauch, Meinhard Kieser:
An expected power approach for the assessment of composite endpoints and their components. Comput. Stat. Data Anal. 60: 111-122 (2013) - [j3]Monika Pobiruchin, Meinhard Kieser:
Sample Size Calculation and Blinded Sample Size Recalculation in Clinical Trials Where the Treatment Effect is Measured by the Relative Risk. Commun. Stat. Simul. Comput. 42(7): 1643-1653 (2013) - [c2]Monika Pobiruchin, Meinhard Kieser, Wendelin Schramm:
Leveraging Markov Models to Compute Prevalence Estimates for a Regional Breast Cancer Registry. ICIMTH 2013: 237-239
2000 – 2009
- 2005
- [j2]Kirsten Wüst, Meinhard Kieser:
Including long- and short-term data in blinded sample size recalculation for binary endpoints. Comput. Stat. Data Anal. 48(4): 835-855 (2005) - 2003
- [j1]Norbert Victor, Meinhard Kieser:
Configural frequency analysis and association analyses in contingency tables. Comput. Stat. Data Anal. 44(1-2): 419-429 (2003)
1990 – 1999
- 1994
- [c1]Meinhard Kieser, Jochem König, Norbert Victor:
Biometrische Planung von klinischen Prüfungen, bei denen eine überlegene Wirksamkeit nur in einer Subgruppe zu erwarten ist. GMDS 1994: 434-437
Coauthor Index
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