Development of a friendly, self-teaching, interactive statistical package for analysis of clinical research data
We have developed a new statistical analysis package for use by the clinical investigator, the clinician, and the laboratory researcher. This package attempts to implement the following philosophy: (1) The programs should be essentially self-teachaing, friendly, and forgiving; (2) the grograms should educate the user regarding the underlying theory, assumptions, and interpretation of the statistical methods involved; (3) the programs should automatically test relevant assumptions and warn the user when these assumptions appear to have been violated; (4) the programs should make recommendations about the availability of alternative statistical methods and automatically perform such analyses when indicated; (5) the programs should interpret the results; and (6) the programs should mimic, insofar as possible, the logic used in a routine, elementary statistical consultation. Several programs have been developed, extensively tested, and used.
KeywordsStatistical Method Clinical Research Analysis Package Research Data Statistical Analysis Package
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- 1.Goldberg, R. N.,BRIGHT User's Guide (Version 3.04, January 1979) (Report CBM-TR-95), Department of Computer Science, Rutgers, The State University of New Jersey, New Brunswick.Google Scholar
- 2.Snedecor, G. W., and Cochran, W. G.,Statistical Methods, seventh ed., Iowa State University Press, Ames, 1980.Google Scholar
- 3.Conover, W. J., and Iman, R. L., Rank transformations as a bridge between parametric and nonparametric statistics.Am. Statistician 35: 124–133, 1981.Google Scholar
- 4.Bennett, C. A., and Franklin, N. L.,Statistical Analysis in Chemistry and the Chemical Industry. Wiley, New York, 1954, pp. 663–688.Google Scholar
- 5.Rodbard, D., Lenox, R. H., Wray, H. L., and Ramseth, D., Statistical characterization of the random errors in the radioimmunoassay dose response variable.Clin. Chem. 22:350–358, 1976.Google Scholar
- 6.Brownlee, K. A.,Statistical Theory and Methodology in Science and Engineering, Wiley, New York, 1960, pp. 272–369.Google Scholar
- 7.Ozols, R. F., Corden, B. J., Jacobs, J., Ostchega, Y., and Young, R. C., High dose cisplatin in hypertonic saline.Ann. Intern. Med. Submitted for publication.Google Scholar
- 8.Knott, G., MLAB—An On-line Modeling Laboratory, Beginners Guide, Division of Computer Research and Technology, National Institutes of Health, Bethesda, Maryland, May 1979.Google Scholar