title: Sample size for the exact conditional test under inverse sampling.
abstract: Inverse sampling is a sampling design in which one continues sampling subjects until one obtains a predetermined number of index subjects. This paper derives a procedure for calculation of the minimum required number of index subjects on the basis of the exact conditional test under inverse sampling. This paper studies quantitatively the effect on power calculations of the number of index subjects. To facilitate use of inverse sampling in study designs, this paper further provides a table that summarizes, in a variety of situations, the minimum required number of index subjects for powers equal to 0.90 and 0.80 at 0.05-level. It also includes a discussion on use of the approximation sample size formula derived on the basis of a variance-stabilizing transformation and large sample theory.
authors.affiliation: Department of Mathematical Sciences, College of Sciences, San Diego State University, CA 92182-0314, USA.
authors.forename: K J
authors.initials: KJ
authors.lastname: Lui
mesh_terms: D000704:Analysis of Variance; D003625:Data Collection; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D016011:Normal Distribution; D011336:Probability; D012494:Sampling Studies