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SAMPLE SIZE FOR THE EXACT CONDITIONAL TEST UNDER INVERSE SAMPLING
Author(s) -
LUI KUNGJONG
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960330)15:6<671::aid-sim205>3.0.co;2-5
Subject(s) - sampling (signal processing) , sample size determination , statistics , inverse , mathematics , sampling design , index (typography) , variance (accounting) , basis (linear algebra) , sample (material) , transformation (genetics) , computer science , population , medicine , chemistry , geometry , environmental health , accounting , filter (signal processing) , chromatography , world wide web , business , computer vision , biochemistry , gene
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.