Authors' response to comments

Affiliations

¹ Section of Medical Statistics, Medical University of Vienna, Spitalgasse 23, Wien, 1090, Austria.
² Novartis Pharma AG, Lichtstrasse 35, Basel, 4002, Switzerland.
³ Johnson and Johnson, 1400 McKean Rd, Spring House, PA, 19477, U.S.A.
⁴ Institute for Medical Statistics, Informatics and Epidemiology, University of Cologne, 50924 Köln, Germany.

Comment

Peter Bauer et al. Stat Med. 2016.

. 2016 Feb 10;35(3):364-7.

doi: 10.1002/sim.6823.

¹ Section of Medical Statistics, Medical University of Vienna, Spitalgasse 23, Wien, 1090, Austria.
² Novartis Pharma AG, Lichtstrasse 35, Basel, 4002, Switzerland.
³ Johnson and Johnson, 1400 McKean Rd, Spring House, PA, 19477, U.S.A.
⁴ Institute for Medical Statistics, Informatics and Epidemiology, University of Cologne, 50924 Köln, Germany.

No abstract available

Comment on

Twenty-five years of confirmatory adaptive designs: opportunities and pitfalls.
Bauer P, Bretz F, Dragalin V, König F, Wassmer G. Bauer P, et al. Stat Med. 2016 Feb 10;35(3):325-47. doi: 10.1002/sim.6472. Epub 2015 Mar 16. Stat Med. 2016. PMID: 25778935 Free PMC article.
Comments on 'Twenty-five years of confirmatory adaptive designs: opportunities and pitfalls'.
Hung HM, Wang SJ, Lawrence J. Hung HM, et al. Stat Med. 2016 Feb 10;35(3):348-9. doi: 10.1002/sim.6806. Stat Med. 2016. PMID: 26757952 No abstract available.
An objective re-evaluation of adaptive sample size re-estimation: commentary on 'Twenty-five years of confirmatory adaptive designs'.
Mehta C, Liu L. Mehta C, et al. Stat Med. 2016 Feb 10;35(3):350-8. doi: 10.1002/sim.6614. Stat Med. 2016. PMID: 26757953
Comments on 'Twenty-five years of confirmatory adaptive designs: opportunities and pitfalls'.
Vollmar J. Vollmar J. Stat Med. 2016 Feb 10;35(3):359-61. doi: 10.1002/sim.6797. Stat Med. 2016. PMID: 26757954 No abstract available.
Comments on 'Twenty-five Years of Confirmatory Adaptive Designs: Opportunities and Pitfalls'.
Maurer W. Maurer W. Stat Med. 2016 Feb 10;35(3):362-3. doi: 10.1002/sim.6629. Stat Med. 2016. PMID: 26757955 No abstract available.