Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Jinheum Kim"'
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract This study examines factors influencing leisure life satisfaction (LLS) through machine learning techniques based on the data from the 2019 National Leisure Activity Survey in Korea. The results show that using machine learning techniques in
Externí odkaz:
https://doaj.org/article/66cdfad18af14edeaa2f629eec83537c
Publikováno v:
BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background In clinical trials and survival analysis, participants may be excluded from the study due to withdrawal, which is often referred to as lost-to-follow-up (LTF). It is natural to argue that a disease would be censored due to death;
Externí odkaz:
https://doaj.org/article/a0e4e07d41e1432f805badc0044472e2
Publikováno v:
BMC Medical Research Methodology, Vol 18, Iss 1, Pp 1-9 (2018)
Abstract Background In the presence of an intermediate clinical event, the analysis of time-to-event survival data by conventional approaches, such as the log-rank test, can result in biased results due to the length-biased characteristics. Methods I
Externí odkaz:
https://doaj.org/article/9c84cdeb506f4f1c8a702a073c1e5156
Autor:
Jinheum Kim
Publikováno v:
Journal of Health Informatics and Statistics. 47:S51-S60
When it comes to data in survival analysis, it is easy to think of one censored or observed survival time of an individual. In the longitudinal study such as a clinical trial, an individual may be simultaneously exposed to different types of events.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f91a6654decac50b035c66df9d9eb431
https://doi.org/10.21032/jhis.2022.47.s3.s51
https://doi.org/10.21032/jhis.2022.47.s3.s51
Publikováno v:
Cancer Research and Treatment. 54:996-1004
Purpose The illness-death model (IDM) is a comprehensive approach to evaluate the relationship between relapse and death. This study aimed to illustrate the value of the IDM for identifying risk factors and evaluating predictive probabilities for rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b54ee8cc0aaa2fd5b48193908c6bc9ec
https://doi.org/10.4143/crt.2021.902
https://doi.org/10.4143/crt.2021.902
Publikováno v:
Translational Lung Cancer Research. 11:1279-1291
We aimed to assess whether recurrence patterns affect survival and to use a multi-state model to predict the prognosis of early stage non-small cell lung cancer in patients who underwent surgical resection.Patients with early stage non-small cell lun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35e53180bd328fe15120b6d46a84dac1
https://doi.org/10.21037/tlcr-22-148
https://doi.org/10.21037/tlcr-22-148
Autor:
Jinheum Kim
Publikováno v:
Critical Studies on Modern Korean History. 47:299-331
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::395ea722cc14c6ea5611c1cd9dd59af9
https://doi.org/10.36432/csmkh.47.202203.8
https://doi.org/10.36432/csmkh.47.202203.8
Autor:
Jinheum Kim, Eunjeong Cha
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 13; Pages: 7962
Recently, there has been a rise in the number of spouses becoming primary caregivers to patients with dementia. This study identifies the mediating effects of depression and sleep quality on the relationship between perceived stress and health-relate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e757cc3e1fd5e187c040bd435b2d496d
https://pubmed.ncbi.nlm.nih.gov/35805619
https://pubmed.ncbi.nlm.nih.gov/35805619
Publikováno v:
Communications in Statistics - Simulation and Computation. 52:247-259
In biomedical or clinical studies, semi-competing risks data are often encountered in which one type of event may censor an other event, but not vice versa. An illness-death model is proposed to an...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af79c34c3b1a81b47e32e3aa58936f86
https://doi.org/10.1080/03610918.2020.1853165
https://doi.org/10.1080/03610918.2020.1853165
Publikováno v:
Computational Statistics. 36:1821-1843
Streakiness is an important measure in many sports data for individual players or teams in which the success rate is not a constant over time. That is, there are many successes/failures during some periods and few or no successes/failures during othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d93b5d7d27ff4eede8adc6c0306a59fd
https://doi.org/10.1007/s00180-020-00992-2
https://doi.org/10.1007/s00180-020-00992-2