Design and Analysis of Clinical Trial Simulations

Kazuhiko Kuribayashi ()
Additional contact information
Kazuhiko Kuribayashi: Pfizer Japan Inc.

Chapter Chapter 8 in Developments in Statistical Evaluation of Clinical Trials, 2014, pp 139-151 from Springer

Abstract: Abstract Clinical trial simulation is a powerful tool for supporting decision making in designing clinical trials, and plays an important role in clinical research and drug development. In clinical trial simulation, however, the design is often not well-considered and the results are empirically assessed. In this chapter, we present points to consider when planning a clinical trial simulation, and discuss how to design a clinical trial simulation employing a fractional factorial design and how to analyze the simulation results.

Keywords: Clinical Trial Simulation (CTS); Monte Carlo Error; Expected Sample Size; Full Factorial Experiment; Simulation Replications (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55345-5_8

Ordering information: This item can be ordered from
http://www.springer.com/9783642553455

DOI: 10.1007/978-3-642-55345-5_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().