ANALISIS SURVIVAL WAKTU DISKRIT
The continuous-time proportional hazard model based on the assumption which is not realistic that the predictor effect when the event occur is constant all the time. There are some cases that the value of predictor can be varies from time to time. Because of that, the discrete-time survival analysis...
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[Yogyakarta] : Universitas Gadjah Mada
2014
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id-ugm-repo.1313232016-03-04T07:54:58Z https://repository.ugm.ac.id/131323/ ANALISIS SURVIVAL WAKTU DISKRIT , DJATI SAMPURNA , Dr. Danardono, MPH ETD The continuous-time proportional hazard model based on the assumption which is not realistic that the predictor effect when the event occur is constant all the time. There are some cases that the value of predictor can be varies from time to time. Because of that, the discrete-time survival analysis is used as common approach survival analysis to solve this problem. The predictor which value is varies from time to time can be modeled such as time-invariant. Singer and Willet (1993) showed that the model can be fit to use the logistic regression analysis and to use the likelihood maximum procedure to estimate it�s parameter. By use the AIDS data patient with STRATUM and CD4 predictors, will be explained the different between both of predictors in interpretation. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , DJATI SAMPURNA and , Dr. Danardono, MPH (2014) ANALISIS SURVIVAL WAKTU DISKRIT. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71776 |
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ETD , DJATI SAMPURNA , Dr. Danardono, MPH ANALISIS SURVIVAL WAKTU DISKRIT |
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The continuous-time proportional hazard model based on the assumption
which is not realistic that the predictor effect when the event occur is constant all
the time. There are some cases that the value of predictor can be varies from time
to time. Because of that, the discrete-time survival analysis is used as common
approach survival analysis to solve this problem. The predictor which value is
varies from time to time can be modeled such as time-invariant. Singer and Willet
(1993) showed that the model can be fit to use the logistic regression analysis and
to use the likelihood maximum procedure to estimate it�s parameter. By use the
AIDS data patient with STRATUM and CD4 predictors, will be explained the
different between both of predictors in interpretation. |
format |
Theses and Dissertations NonPeerReviewed |
author |
, DJATI SAMPURNA , Dr. Danardono, MPH |
author_facet |
, DJATI SAMPURNA , Dr. Danardono, MPH |
author_sort |
, DJATI SAMPURNA |
title |
ANALISIS SURVIVAL WAKTU DISKRIT |
title_short |
ANALISIS SURVIVAL WAKTU DISKRIT |
title_full |
ANALISIS SURVIVAL WAKTU DISKRIT |
title_fullStr |
ANALISIS SURVIVAL WAKTU DISKRIT |
title_full_unstemmed |
ANALISIS SURVIVAL WAKTU DISKRIT |
title_sort |
analisis survival waktu diskrit |
publisher |
[Yogyakarta] : Universitas Gadjah Mada |
publishDate |
2014 |
url |
https://repository.ugm.ac.id/131323/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71776 |
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