Application of survival analysis techniques on lung cancer patient data in the Philippines with censored observations
Date of Publication
2010
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Statistics Major in Actuarial Science
Subject Categories
Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Thesis Adviser
Frumencio F. Co
Defense Panel Chair
Regina M. Tresvalles
Defense Panel Member
Paolo Lorenzi Bautista
Krisitne Mae Dela Cruz
Abstract/Summary
Lung cancer is the leading cause of cancer-related deaths in the Philippines, though little is known about the mechanism of death among people inflicted by the disease in the Philippines. Making inferences from a sample of lung cancer patients will be helpful in studying the timing and occurrence of death among newly-admitted lung cancer patients. A problem with sample data for longitudinal studies in the field of medicine is the loss to follow-up by some patients under observation which is a form of "censoring", but censoring does not hinder researchers from coming up with statistics for estimating and making inferences about survival probabilities and hazards. Survival analysis techniques that handle censored times of death were applied to a sample of newly-admitted lung cancer patients in the period 2000 to 2005 from the Lung Center of the Philippines. Kaplan-Meier estimation, one of these survival analysis techniques, provided quantile values for the survival time from admission of lung cancer patients. Complementary to the Kaplan-Meier estimation is the long rank test which tests the significance of survival distributions between strata (i.e. by sex). Cox regression analysis provided the magnitude and direction of covariates in contributing to the hazard of death for newly-admitted lung cancer patients in terms of hazard ratios. From these survival analysis techniques, inferences regarding the survival of newly-admitted lung cancer patients were made.
Abstract Format
html
Language
English
Format
Accession Number
TU16001
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xii, 83, A-47 leaves, 28 cm.
Keywords
Lungs—Cancer--Philippines--Mathematical models
Recommended Citation
Arthur, J. O., & Chua, T. S. (2010). Application of survival analysis techniques on lung cancer patient data in the Philippines with censored observations. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/5340
Embargo Period
4-15-2021
