How do multi-stage, multi-arm trials compare to the traditional two-arm parallel group design – a reanalysis of 4 trials
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1745-6215
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
How do multi-stage, multi-arm trials compare to the traditional two-arm parallel group design – a reanalysis of 4 trials ; volume:10 ; number:1 ; day:17 ; month:4 ; year:2009 ; pages:1-10 ; date:12.2009
Trials ; 10, Heft 1 (17.4.2009), 1-10, 12.2009
- Urheber
-
Barthel, FM-S
- Beteiligte Personen und Organisationen
-
Parmar, MKB
Royston, P.
SpringerLink (Online service)
- DOI
-
10.1186/1745-6215-10-21
- URN
-
urn:nbn:de:1111-2016050218284
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:59 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Barthel, FM-S
- Parmar, MKB
- Royston, P.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Treatment selection in multi-arm, multi-stage clinical trials
Optimal design for multi-arm multi-stage clinical trials
Design considerations for Factorial Adaptive Multi-Arm Multi-Stage (FAST) clinical trials
A comparison of bayesian adaptive randomization and multi-stage designs for multi-arm clinical trials
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Multi-arm multi-stage trials can improve the efficiency of finding effective treatments for stroke: a case study
Type I error rates of multi-arm multi-stage clinical trials: strong control and impact of intermediate outcomes
Meta analysis of binary data with excessive zeros in two-arm trials
Incorporating of Historical Two-Arm Data in Clinical Trials with Binary Outcome
Evaluation of a multi-arm multi-stage Bayesian design for phase II drug selection trials – an example in hemato-oncology
The effect of missing data on design efficiency in repeated cross-sectional multi-period two-arm parallel cluster randomized trials
Treatment selection in multi-arm, multi-stage clinical trials
Optimal design for multi-arm multi-stage clinical trials
Design considerations for Factorial Adaptive Multi-Arm Multi-Stage (FAST) clinical trials
A comparison of bayesian adaptive randomization and multi-stage designs for multi-arm clinical trials
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Multi-arm multi-stage trials can improve the efficiency of finding effective treatments for stroke: a case study
Type I error rates of multi-arm multi-stage clinical trials: strong control and impact of intermediate outcomes
Meta analysis of binary data with excessive zeros in two-arm trials
Incorporating of Historical Two-Arm Data in Clinical Trials with Binary Outcome
Evaluation of a multi-arm multi-stage Bayesian design for phase II drug selection trials – an example in hemato-oncology
The effect of missing data on design efficiency in repeated cross-sectional multi-period two-arm parallel cluster randomized trials
Treatment selection in multi-arm, multi-stage clinical trials
Optimal design for multi-arm multi-stage clinical trials
Design considerations for Factorial Adaptive Multi-Arm Multi-Stage (FAST) clinical trials
A comparison of bayesian adaptive randomization and multi-stage designs for multi-arm clinical trials
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Multi-arm multi-stage trials can improve the efficiency of finding effective treatments for stroke: a case study
Type I error rates of multi-arm multi-stage clinical trials: strong control and impact of intermediate outcomes
Meta analysis of binary data with excessive zeros in two-arm trials
Incorporating of Historical Two-Arm Data in Clinical Trials with Binary Outcome
Evaluation of a multi-arm multi-stage Bayesian design for phase II drug selection trials – an example in hemato-oncology