@article{ART002557310},
author={baikjaewook},
title={Analysis of Industrial Accidents Data with Survival Model},
journal={Industry Promotion Research},
issn={2466-1139},
year={2020},
volume={5},
number={1},
pages={1-11},
doi={10.21186/IPR.2020.5.1.001}
TY - JOUR
AU - baikjaewook
TI - Analysis of Industrial Accidents Data with Survival Model
JO - Industry Promotion Research
PY - 2020
VL - 5
IS - 1
PB - Industrial Promotion Institute
SP - 1
EP - 11
SN - 2466-1139
AB - The purpose of this study is to analyze the industrial accidents data with survival model. EDA approach is used to explore the relationship between two variables and among three variables for the past 10 years of industrial accidents data. Survival models are also tried. Survival curve drops more rapidly for the business with fewer employees as time goes by. Industrial accidents occur more often as the total number of industrial accidents gets larger and as the number of employees gets smaller. Agriculture, fishing and forestry have a higher level of industrial accidents than construction while service industry and ‘transportationㆍstorage and telecommunication’ have a fewer number of industrial accidents than construction. Korea Safety and Health Agency’s and Ministry of Employment and Labor’s involvement were not effective but Civilian’s was. Recurrent event data analysis reveals all most the same result as for non-recurrent data analysis.
KW - Industrial Accidents Data;Industrial Accident Prevention Policy;Survival Model;Cox’s Proportional Hazard Model;Recurrent Event Data
DO - 10.21186/IPR.2020.5.1.001
ER -
baikjaewook. (2020). Analysis of Industrial Accidents Data with Survival Model. Industry Promotion Research, 5(1), 1-11.
baikjaewook. 2020, "Analysis of Industrial Accidents Data with Survival Model", Industry Promotion Research, vol.5, no.1 pp.1-11. Available from: doi:10.21186/IPR.2020.5.1.001
baikjaewook "Analysis of Industrial Accidents Data with Survival Model" Industry Promotion Research 5.1 pp.1-11 (2020) : 1.
baikjaewook. Analysis of Industrial Accidents Data with Survival Model. 2020; 5(1), 1-11. Available from: doi:10.21186/IPR.2020.5.1.001
baikjaewook. "Analysis of Industrial Accidents Data with Survival Model" Industry Promotion Research 5, no.1 (2020) : 1-11.doi: 10.21186/IPR.2020.5.1.001
baikjaewook. Analysis of Industrial Accidents Data with Survival Model. Industry Promotion Research, 5(1), 1-11. doi: 10.21186/IPR.2020.5.1.001
baikjaewook. Analysis of Industrial Accidents Data with Survival Model. Industry Promotion Research. 2020; 5(1) 1-11. doi: 10.21186/IPR.2020.5.1.001
baikjaewook. Analysis of Industrial Accidents Data with Survival Model. 2020; 5(1), 1-11. Available from: doi:10.21186/IPR.2020.5.1.001
baikjaewook. "Analysis of Industrial Accidents Data with Survival Model" Industry Promotion Research 5, no.1 (2020) : 1-11.doi: 10.21186/IPR.2020.5.1.001
