On the use of the logistic model in prospective studies
- 1 April 1985
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 4 (2) , 227-235
- https://doi.org/10.1002/sim.4780040212
Abstract
We describe the usual statistical concepts and consequent appropriate simulations of a prospective study for the simple case of a single risk variable and an assumed logistic model. We examine the simulations of Lilienfeld and Pyne,1 and show that they are seriously flawed. Contrary to those authors' claims, the estimates of parameters by the Walker‐Duncan technique are both accurate and reliable.Keywords
This publication has 3 references indexed in Scilit:
- The logistic analysis of epidemiologic prospective studies: Investigation by simulationStatistics in Medicine, 1984
- Estimation of the multivariate logistic risk function: A comparison of the discriminant function and maximum likelihood approachesJournal of Chronic Diseases, 1971
- Estimation of the probability of an event as a function of several independent variablesBiometrika, 1967