LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR

LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR

The Cox Proportional Hazard model is a regression model that is used to see the factors that cause an event, one of which is death. In this study, spatial survival analysis will be used to see the effect of covariate factors by adding a random effect (frailty) to geostatistical spatial data based on...

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Main Author: Ulfah Annisa, Felfin
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/55136
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:55136
spelling id-itb.:551362021-06-15T08:17:29ZLIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR Ulfah Annisa, Felfin Indonesia Theses Spatial Survival Analysis, Cox Proportional Hazard Model, Frailty Geostatistical Data, Term Life Insurance. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/55136 The Cox Proportional Hazard model is a regression model that is used to see the factors that cause an event, one of which is death. In this study, spatial survival analysis will be used to see the effect of covariate factors by adding a random effect (frailty) to geostatistical spatial data based on the individual's residence area. The purpose of this study was to determine how age, gender, white blood cell count, regional prosperity level and spatial effects can affect survival and survival opportunities for the next few years based on Acute Myeloid Leukemia (AML) survival data in Northwest England in 1982-1998. . The results of this study are factors of age, gender, white blood cell count, and the level of regional poverty have a significant effect on individual survival. Individual survival chances without spatial random effects are higher than individual survival chances with spatial random effects included. This causes individual life insurance premiums with spatial random effects to be more expensive. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The Cox Proportional Hazard model is a regression model that is used to see the factors that cause an event, one of which is death. In this study, spatial survival analysis will be used to see the effect of covariate factors by adding a random effect (frailty) to geostatistical spatial data based on the individual's residence area. The purpose of this study was to determine how age, gender, white blood cell count, regional prosperity level and spatial effects can affect survival and survival opportunities for the next few years based on Acute Myeloid Leukemia (AML) survival data in Northwest England in 1982-1998. . The results of this study are factors of age, gender, white blood cell count, and the level of regional poverty have a significant effect on individual survival. Individual survival chances without spatial random effects are higher than individual survival chances with spatial random effects included. This causes individual life insurance premiums with spatial random effects to be more expensive.
format Theses
author Ulfah Annisa, Felfin
spellingShingle Ulfah Annisa, Felfin
LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR
author_facet Ulfah Annisa, Felfin
author_sort Ulfah Annisa, Felfin
title LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR
title_short LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR
title_full LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR
title_fullStr LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR
title_full_unstemmed LIFE INSURANCE MODEL WITH COX PROPORTIONAL HAZARD REGRESSION AFFECTED BY GEOSTATISTICS SPATIAL FACTOR
title_sort life insurance model with cox proportional hazard regression affected by geostatistics spatial factor
url https://digilib.itb.ac.id/gdl/view/55136
_version_ 1822274162932056064

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