Developing the High-Risk Drinking Scorecard Model in Korea.

Objectives: This study aimed to develop a high-risk drinking scorecard using cross-sectional data from the 2014 Korea Community Health Survey.

Methods: Data were collected from records for 149,592 subjects who had participated in the Korea Community Health Survey conducted from 2014. The scorecard model was developed using data mining, a scorecard and points to double the odds approach for weighted multiple logistic regression.

The graphical method for goodness of fit test in the inverse Weibull distribution based on multiply type-II censored samples.

Many studies have considered a truncated and censored samples which are type-I, type-II and hybrid censoring scheme. The inverse Weibull distribution has been utilized for the analysis of life testing and reliability data. Also, this distribution is a very flexible distribution.

Individualized risk prediction model for lung cancer in Korean men.

Purpose: Lung cancer is the leading cause of cancer deaths in Korea. The objective of the present study was to develop an individualized risk prediction model for lung cancer in Korean men using population-based cohort data.

Methods: From a population-based cohort study of 1,324,804 Korean men free of cancer at baseline, the individualized absolute risk of developing lung cancer was estimated using the Cox proportional hazards model.

Alcohol consumption and mortality from all-cause and cancers among 1.34 million Koreans: the results from the Korea national health insurance corporation's health examinee cohort in 2000.

Background: The relationship between alcohol and cancer death has not been well established in Asian population, particularly among women.

Method: We evaluated the association between alcohol consumption and all-cause and cancer mortality in a large-scale prospective study of 1,341,393 Korean men and women aged 40-69 years who participated in health examination in 2000. After 5 years follow-up for mortality (2001-2005), 19,375 deaths were identified, and Cox regression was used for longitudinal analyses.