Please use this identifier to cite or link to this item:
Title: A SAS procedure for exact probability testing of difference between sample and population proportion
Authors: Lee, J.
Lee, H.-P. 
Fong, N.-P. 
Keywords: Exact probability test
Inference on population proportion
SAS program
Significance test
Issue Date: 1989
Citation: Lee, J.,Lee, H.-P.,Fong, N.-P. (1989). A SAS procedure for exact probability testing of difference between sample and population proportion. Computers in Biology and Medicine 19 (2) : 137-143. ScholarBank@NUS Repository.
Abstract: Statistical testing of the hypothesis that the proportion of subjects in a defined population having a certain attribute (proportion of "positives" in a population, P) is equal to some specified value (P0) is frequently encountered in biomedical research. For example, a study might be carried out to statistically test whether the postoperative wound infection rate in patients having undergone an operation with a "new" surgical procedure is 20%, the same value that has been observed for the "established" surgical procedure. The significance test for this hypothesis (e.g., test H0: P = 0.20 against HA: P ≠ 0.20) is usually based on the normal theory approximation method. However, when the sample size is "small", especially if P0 is close to 0 or 1, the normal theory method can yield grossly unreliable results. In contrast, the significance test based on the exact binomial probability procedure always yields reliable results. A computer program coded in SAS is described herein to perform this exact probability test procedure. © 1989.
Source Title: Computers in Biology and Medicine
ISSN: 00104825
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Feb 2, 2023

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.