𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Survival models based upon the logistic and log-logistic distributions

✍ Scribed by John O'Quigley; Lesley Struthers


Publisher
Elsevier Science
Year
1982
Weight
578 KB
Volume
15
Category
Article
ISSN
0010-468X

No coin nor oath required. For personal study only.

✦ 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.


πŸ“œ SIMILAR VOLUMES


A Model of Microbial Growth and Decay in
✍ Peleg, Micha πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 519 KB

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