Metode Bootstrap Dalam Regresi Cox Proportional Hazard Untuk Laju Kesembuhan Pasien TBC DI RSI UNISMA Malang
| Main Author: | Maharani, Retno Indah |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://repository.ub.ac.id/168430/1/Retno%20Indah%20Maharani%20%282%29.pdf http://repository.ub.ac.id/168430/ |
Daftar Isi:
- Analysis of survival (survival) is an analysis of the data obtained from the length of time achieved an object until the occurrence of a particular event (failure event). One of the survival analysis that can be used is Cox regression. Although the baseline hazard is unknown, the Cox regression model can still provide information on hazard ratios (HR). In this study using a small sample size of medical record data inpatients of TBC disease in RSI UNISMA Malang in April to November 2014, amounting to 23 patients. To handle data with small sample sizes the bootstrap method will be applied in Cox proportional hazard regression. The objective is to know the application of bootstrap method in Cox proportional hazard regression and to know the factors that influence the rate of recovery of TB patient in RSI UNISMA Malang. The best model using the bootstrap method in Cox proportional hazard regression is obtained on the B = 100 loop. The factors that influence the rate of recovery of TB patients in RSI UNISMA Malang significantly based on the bootstrap confidence interval that does not contain zero are gender, status of history and employment status.