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Designing multi-arm multi-stage clinical studies

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Designing multi-arm multi-stage clinical studies. / Jaki, Thomas.
Developments in statistical evaluation of clinical trials. ed. / Kees van Montfort; Johan Oud; Wendimagegn Ghidey. Berlin: Springer, 2014. p. 51-69.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Harvard

Jaki, T 2014, Designing multi-arm multi-stage clinical studies. in K van Montfort, J Oud & W Ghidey (eds), Developments in statistical evaluation of clinical trials. Springer, Berlin, pp. 51-69. https://doi.org/10.1007/978-3-642-55345-5_3

APA

Jaki, T. (2014). Designing multi-arm multi-stage clinical studies. In K. van Montfort, J. Oud, & W. Ghidey (Eds.), Developments in statistical evaluation of clinical trials (pp. 51-69). Springer. https://doi.org/10.1007/978-3-642-55345-5_3

Vancouver

Jaki T. Designing multi-arm multi-stage clinical studies. In van Montfort K, Oud J, Ghidey W, editors, Developments in statistical evaluation of clinical trials. Berlin: Springer. 2014. p. 51-69 doi: 10.1007/978-3-642-55345-5_3

Author

Jaki, Thomas. / Designing multi-arm multi-stage clinical studies. Developments in statistical evaluation of clinical trials. editor / Kees van Montfort ; Johan Oud ; Wendimagegn Ghidey. Berlin : Springer, 2014. pp. 51-69

Bibtex

@inbook{3deefa0d23a948b4bd78ab0e0603fe48,
title = "Designing multi-arm multi-stage clinical studies",
abstract = "In the early stages of drug development there often is uncertainty about the most promising among a set of different treatments, different doses of the same treatment or sets of combinations of treatments. An efficient solution to determine which intervention is most promising are multi-arm multi-stage clinical studies (MAMS). In this chapter we will discuss the general concept to designing MAMS studies within the group sequential framework and provide detailed solutions for multi-arm multi-stage studies with normally distributed endpoints in which all promising treatments are continued at the interim analyses. An approach to find optimal designs is discussed as well as asymptotic solutions for binary, ordinal and time-to event endpoints.",
author = "Thomas Jaki",
year = "2014",
doi = "10.1007/978-3-642-55345-5_3",
language = "English",
isbn = "9783642553448",
pages = "51--69",
editor = "{van Montfort}, Kees and Johan Oud and Wendimagegn Ghidey",
booktitle = "Developments in statistical evaluation of clinical trials",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - Designing multi-arm multi-stage clinical studies

AU - Jaki, Thomas

PY - 2014

Y1 - 2014

N2 - In the early stages of drug development there often is uncertainty about the most promising among a set of different treatments, different doses of the same treatment or sets of combinations of treatments. An efficient solution to determine which intervention is most promising are multi-arm multi-stage clinical studies (MAMS). In this chapter we will discuss the general concept to designing MAMS studies within the group sequential framework and provide detailed solutions for multi-arm multi-stage studies with normally distributed endpoints in which all promising treatments are continued at the interim analyses. An approach to find optimal designs is discussed as well as asymptotic solutions for binary, ordinal and time-to event endpoints.

AB - In the early stages of drug development there often is uncertainty about the most promising among a set of different treatments, different doses of the same treatment or sets of combinations of treatments. An efficient solution to determine which intervention is most promising are multi-arm multi-stage clinical studies (MAMS). In this chapter we will discuss the general concept to designing MAMS studies within the group sequential framework and provide detailed solutions for multi-arm multi-stage studies with normally distributed endpoints in which all promising treatments are continued at the interim analyses. An approach to find optimal designs is discussed as well as asymptotic solutions for binary, ordinal and time-to event endpoints.

U2 - 10.1007/978-3-642-55345-5_3

DO - 10.1007/978-3-642-55345-5_3

M3 - Chapter (peer-reviewed)

SN - 9783642553448

SP - 51

EP - 69

BT - Developments in statistical evaluation of clinical trials

A2 - van Montfort, Kees

A2 - Oud, Johan

A2 - Ghidey, Wendimagegn

PB - Springer

CY - Berlin

ER -