Two Experimental Settings in Clinical Trials: Predictive Criteria for Choosing the Sample Size in Interval Estimation

F. De Santis () and M. Perone Pacifico
Additional contact information
F. De Santis: Università di Roma “La Sapienza”, Dipartimento di Statistica, Probabilità e Statistiche Applicate
M. Perone Pacifico: Università di Roma “La Sapienza”, Dipartimento di Statistica, Probabilità e Statistiche Applicate

Chapter Chapter 7 in Applied Bayesian Statistical Studies in Biology and Medicine, 2004, pp 109-130 from Springer

Abstract: Abstract Determination of the optimal sample size is a fundamental step in many statistical designs, especially relevant in biomedical studies and in all situations where data are difficult to collect.

Keywords: Posterior Distribution; Posterior Density; Interval Estimation; Predictive Distribution; Sample Size Determination (search for similar items in EconPapers)
Date: 2004
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:978-1-4613-0217-9_7

Ordering information: This item can be ordered from
http://www.springer.com/9781461302179

DOI: 10.1007/978-1-4613-0217-9_7

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 ().