You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
The Analysis of Rates and of Survivorship Using Log-Linear Models
Theodore R. Holford
Vol. 36, No. 2 (Jun., 1980), pp. 299-305
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2529982
Page Count: 7
You can always find the topics here!Topics: Modeling, Musical intervals, Statistical models, Biometrics, Statistics, Histology, Disease models, Parametric models, Algorithms, Censored data
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Models are considered in which the underlying rate at which events occur has a log-linear relationship with covariates. It is shown that the estimation of parameters involves the solution of identical systems of equations for data from either a Poisson process, an exponential distribution, a survival model or a generalized log-linear model. This enables one to use algorithms for fitting log-linear models, such as iterative proportional fitting (IPF), for the analysis of rates or survivorship.
Biometrics © 1980 International Biometric Society