Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques

Autor:	Nan M. Laird, Donald C. Olivier
Rok vydání:	1981
Předmět:	Statistics and Probability Contingency table Analysis of covariance Iterative proportional fitting Basis (linear algebra) Computer science Data structure computer.software_genre Log-linear analysis Survival data Data mining Log-linear model Statistics Probability and Uncertainty computer
Zdroj:	Journal of the American Statistical Association. 76:231-240
ISSN:	1537-274X 0162-1459
DOI:	10.1080/01621459.1981.10477634
Popis:	This paper unites two different fields, survival and contingency table analysis, in a single analytical framework based on the log-linear model. We demonstrate that many currently popular approaches to modeling survival data, including the approaches of Glasser (1967), Cox (1972), Breslow (1972, 1974), and Holford (1976), can be handled by using existing computer packages developed for the log-linear analysis of contingency table data. More important, we demonstrate that the log-linear modeling system used to characterize counted data structures directly characterizes survival data as well. Counted data methodologies for testing and estimation are also applicable here. Much of the theoretical basis for this work has been independently derived by Holford (1980) and Aitkin and Clayton (1980). The emphasis in this paper is not to develop new methodologies, but rather to present new uses and interpretations for already familiar methodologies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::356db9b80cf00a7b48b23dba2efbea7f https://doi.org/10.1080/01621459.1981.10477634 Zobrazit plný text záznamu