A computer program suitable for fitting linear models when the dependent variable is dichotomous, polichotomous or censored survival and non-linear models when the dependent variable is quantitative
✍ Scribed by A Morabito; E Marubini
- Publisher
- Elsevier Science
- Year
- 1976
- Weight
- 663 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0010-468X
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✦ Synopsis
Given a set of measurements of s explanatory variables corresponding to each experimental unit, a computer program, whose methodological background can be found in has been written in FORTRAN IV language in order to perform regression analyses when the dependent variable is: (i) dichotomous; (ii) polichotomous; (iii) censored survival. In the two former the Cox's [6] linear logistic models are used while in the third one it has been resorted to the models suggested by Feigl and Zelen . The statistical estimation procedure is maximum likelihood and among the different algorithms developed to reach this goal, the one published by Van der Voort and Dorpema [3], has been utilized. Furthermore, when the dependent variable is quantitative, the program is suitable to fit any function non-linear in the parameters; the pertinent function and its first and second derivatives must be provided by the user. In the present version, implemented on a Univac 1106 machine, the program fits directly the Gompertz function.