𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A computer program for stepwise logistic regression using maximum likelihood estimation

✍ Scribed by David W. Hosmer Jr; Ching-Ying Wang; I-Chang Lin; Stanley Lemeshow


Publisher
Elsevier Science
Year
1978
Weight
557 KB
Volume
8
Category
Article
ISSN
0010-468X

No coin nor oath required. For personal study only.

✦ Synopsis


A computer program has been written which performs a stepwise selection of variables for logistic regression using maximum likelihood estimation. The selection procedure is based on likelihood ratio tests for the coefficients. These tests are used in a forward selection and a backward elimination at each step. The use of the program is illustrated by several examples.


πŸ“œ SIMILAR VOLUMES


A computer program for maximum likelihoo
✍ Sonja Johansen πŸ“‚ Article πŸ“… 1973 πŸ› Elsevier Science βš– 365 KB

Physical examinations made at annual or other fixed time intervals on each member of a group of healthy individuals yield sets of random variables measured over time, called time series. A computer program has been written which treats these measurements as predictor variables to be used in estimati

A computer program for linear logistic r
✍ Elisa T Lee πŸ“‚ Article πŸ“… 1974 πŸ› Elsevier Science βš– 545 KB

Given a set of binary data (success of failure) and measurements of p explanatory variables corresponding to each case, a computer program has been written to perform regression analysis utilizing Cox's linear logistic model. A prototype example is to assess any dependence of the probability of resp

A computer program for maximum likelihoo
✍ Thomas G. Loflin; C.Alex McMahan πŸ“‚ Article πŸ“… 1982 πŸ› Elsevier Science βš– 437 KB

We describe a program for obtaining esttmates of the rank order of objects in a paired comparison experiment. The prolvam uses Rcmage and Thompson's dynamic programming algorithm [3] to obtain that rank,ng which maximize.~ the likelihood function with the restriction of weak stochastic transitivity.

A general APL program for maximum likeli
✍ S. Olesen Larsen πŸ“‚ Article πŸ“… 1982 πŸ› Elsevier Science βš– 262 KB

A description and a fisting are made of an APL program for general maximum likelihood estimation based on ad hoc programming of the log-likelihood function and on lqewton-Raphson's iterative procedure using numerical differentiation to obtain first-and second-order derivative.~. The program can also

A function minimization computer package
✍ Jane B. Hazelrig; Malcolm E. Turner Jr.; Eugene Ackerman πŸ“‚ Article πŸ“… 1978 πŸ› Elsevier Science 🌐 English βš– 735 KB

MFIT is a computer software package for obtaining nonlinear parameter estimates. It was designed, in part, to motivate the maximum likelihood method by making it as accessible to the scientifically oriented user as nonlinear regression or least squares analysis. The approach taken was that of supply