Cover of: Multivariate Proportional Hazards Model |
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Contributors

  • Author
    Sharif Mahmood

Multivariate Proportional Hazards Model

An Application To The Birth Interval In Bangladesh

First edition

Published by LAP LAMBERT Academic Publishing .
Written in English.

About the Book

Survival data are often clustered into groups, such as couples, families, communities, and geographical regions. Observations from same cluster usually share certain unobserved characteristics and as a result tend to be correlated. In multivariate proportional hazards model correlations among observations are considered. In analysis if associations among observations are ignored, standard error of the estimates of parameters of interest may be incorrect. The parameters estimates yielded by the multivariate proportional hazards model are very similar to those yielded by the standard hazards model. Present research deals with the extension of the Cox model that allows for heterogeneity due to omitted covariates using frailty (random effect) approach, and there by uses a more general class of mixed-modeling that estimates predictors via parametric and non-parametric regression. In this study, Cox model and multivariate proportional hazards model are used for analyzing birth interval of Bangladesh using Bangladesh Demographic and Health Survey (BDHS, 2004) data. This result of this study indicates that, the unobserved cluster effect has a sizeable impact on birth interval in Bangladesh.

The Physical Object

Format
Paperback
Number of pages
150
Dimensions
6 x 1 x 9 inches
Weight
10 ounces

ID Numbers

Open Library
OL27660212M
ISBN 10
3848442493
ISBN 13
9783848442492
OCLC/WorldCat
935091657
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November 9, 2019 Edited by Kaustubh Chakraborty Added new cover
November 9, 2019 Edited by Kaustubh Chakraborty Added new book
November 9, 2019 Created by Kaustubh Chakraborty Added new book.