Survival models based upon the logistic and log-logistic distributions
β Scribed by John O'Quigley; Lesley Struthers
- Publisher
- Elsevier Science
- Year
- 1982
- Weight
- 578 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0010-468X
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β¦ Synopsis
LOCal2 and LOGLOGC are interactive FORTRAN programs which fit the logistic and log-logistic regression models to censored survival data. Maximum likelihood estimates of parameters and estimates of their standard errors are given together with the corresponding log-likelihood. Survivorship functions, median remaining lifetimes and estimates of confidence intervals for these functions are Oven. Residual plotting is incorporated to assess the goodness of fit and can be plotted as can the survivorship function and median remaining lifetime estimates together with their corresponding confidence limits.
π SIMILAR VOLUMES
Microbial growth in a closed system can be described by a model based on the continuous logistic equation on which a Fermi's term is superimposed. The first component of the combined model accounts for growth and the second for decay. It has the form: where N(t) and N o , are the instantaneous and