Sample size calculation, power analysis and randomization: research project design in Windows
Department of Surgery University of Arkansas for Medical Sciences Little Rock, AR 72205, USA
Single estimates of sample size for a study may be easily obtained by use of a hand calculator or from published tables. In contrast, performing multiple calculations is a tedious and time-consuming task, which is greatly simplified by a computer program. The computer program presented here assists the investigator in calculating sample size estimates, determining statistical power and creating randomization tables for a study. The program is designed primarily for clinical trials and thus includes some features not found in other software packages performing similar tasks. Sample size calculation and power analysis are performed for dichotomous, continuous Coammetric and non–parametric tests) and time–to–failure (exponential distribution and log-rank test) response variables, and for correlation coefficients. Sample size estimates and significance levels may be adjusted for multiple participating centers, non compliance, interim analyses and multiple testing. The randomization subroutine generates tables for studies with up to nine treatment arms and with any valid block size. As a Windows application, the program runs in a multitasking environment, allowing switching between programs and easy pasting of results into word–processing documents and other applications. It is very simple to use, with a completely menu–driven interface and sufficient built–in help to obviate the use of a manual.
Received on April 11, 1992; accepted on July 29, 1992
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  G. Gianese, P. Argos, and S. Pascarella Structural adaptation of enzymes to low temperatures Protein Eng. Des. Sel., March 1, 2001; 14(3): 141 - 148. [Abstract] [Full Text] [PDF]
|
|