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Books > Science & Mathematics > Mathematics > Probability & statistics

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Multivariate Proportional Hazards Model (Paperback) Loot Price: R1,769
Discovery Miles 17 690
Multivariate Proportional Hazards Model (Paperback): Sharif Mahmood, Begum Zainab
Multivariate Proportional Hazards Model (Paperback): Sharif Mahmood, Begum Zainab

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Multivariate Proportional Hazards Model (Paperback)

Sharif Mahmood, Begum Zainab

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Loot Price R1,769 Discovery Miles 17 690 | Repayment Terms: R165 pm x 12*

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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.

General

Imprint: Lap Lambert Academic Publishing
Country of origin: Germany
Release date: May 2012
First published: May 2012
Authors: Sharif Mahmood • Begum Zainab
Dimensions: 229 x 152 x 9mm (L x W x T)
Format: Paperback - Trade
Pages: 148
ISBN-13: 978-3-8484-4249-2
Barcode: 9783848442492
Categories: Promotions
Books > Science & Mathematics > Mathematics > Probability & statistics
LSN: 3-8484-4249-3

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