2007Unpublished venueRequires access

Survival analysis of diabetic patients in Queen Elizabeth Hopital Kota Kinabalu

Yew Leong Wong

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Abstract

Diabetes has been known as one of the major contribution of mortality not only in Malaysia but also around the world. Hence, it is important if the trend or the major groups suffered by this disease can be determined so that they can benefit through efforts by major parties to lower the risk of death. The objectives of this research are to conduct a survival analysis to determine the survival rate of diabetic patients, to determine the trend of survival in diabetic patients, to compute survival function, density function and hazard function from life table and to determine whether significance difference exists among genders, ethnics and ages by using log-rank test. The data was collected from Queen Elizabeth Hospital (QEH). The variables included in this study are gender, age, time of survival and ethnics. Survival function, density function and hazard function were used. Log-rank test was also performed in this dissertation to compare between two factors to determine whether significant difference existed in the variables or not. Kaplan-Meier estimator plot was also plotted to determine the survival pattern of the patients with diabetes in Sabah. It showed that the survival function of diabetic patients was high while the density probability and hazard rate was low in Sabah. The result also showed there was no significance difference existed among genders, ethnics and ages. This implied that all of them had the same risk in being diagnosed with this disease regardless of genders and ethnics.

About this research paper

What this paper is about

Diabetes has been known as one of the major contribution of mortality not only in Malaysia but also around the world. Hence, it is important if the trend or the major groups suffered by this disease can be determined so that they can benefit through efforts by major parties to lower the risk of death. The objectives of this research are to conduct a survival analysis to determine the survival rate of diabetic patients, to determine the trend of survival in diabetic patients, to compute survival function, density function and hazard function from life table and to determine whether significance difference exists among genders, ethnics and ages by using log-rank test. The data was collected from Queen Elizabeth Hospital (QEH). The variables included in this study are gender, age, time of survival and ethnics. Survival function, density function and hazard function were used. Log-rank test was also performed in this dissertation to compare between two factors to determine whether significant difference existed in the variables or not. Kaplan-Meier estimator plot was also plotted to determine the survival pattern of the patients with diabetes in Sabah. It showed that the survival function of diabetic patients was high while the density probability and hazard rate was low in Sabah. The result also showed there was no significance difference existed among genders, ethnics and ages. This implied that all of them had the same risk in being diagnosed with this disease regardless of genders and ethnics.

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Available abstract

Diabetes has been known as one of the major contribution of mortality not only in Malaysia but also around the world. Hence, it is important if the trend or the major groups suffered by this disease can be determined so that they can benefit through efforts by major parties to lower the risk of death. The objectives of this research are to conduct a survival analysis to determine the survival rate of diabetic patients, to determine the trend of survival in diabetic patients, to compute survival function, density function and hazard function from life table and to determine whether significance difference exists among genders, ethnics and ages by using log-rank test. The data was collected from Queen Elizabeth Hospital (QEH). The variables included in this study are gender, age, time of survival and ethnics. Survival function, density function and hazard function were used. Log-rank test was also performed in this dissertation to compare between two factors to determine whether significant difference existed in the variables or not. Kaplan-Meier estimator plot was also plotted to determine the survival pattern of the patients with diabetes in Sabah. It showed that the survival function of diabetic patients was high while the density probability and hazard rate was low in Sabah. The result also showed there was no significance difference existed among genders, ethnics and ages. This implied that all of them had the same risk in being diagnosed with this disease regardless of genders and ethnics.

Key concepts: Survival function, Survival analysis, Hazard ratio, Log-rank test, Demography, Proportional hazards model, Statistical significance, Medicine

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