지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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The purpose of this study was to compare the risk-adjusted in-hospital mortality for craniotomies between logistic regression and multilevel analysis. By using patient sample data from the Health Insurance Review & Assessment Service, in-patients with a craniotomy were selected as the survey target. The sample data were collected from a total number of 2,335 patients from 90 hospitals. The sample data were analyzed with SAS 9.3.
From the results of the existing logistic regression analysis and multilevel analysis, the values from the multilevel analysis represented a better model than that of logistic regression. The intra-class correlation (ICC) was 18.0%. It was found that risk-adjusted in-hospital mortality for craniotomies may vary in every hospital. The agreement by kappa coefficient between the two methods was good for the risk-adjusted in-hospital mortality for craniotomies, but the factors influencing the outcome for that were different.
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참고문헌 (20)
참고문헌 신청
A. Elixhauser. / 1998 / Comorbidity measures for use with administrative data / Med care 36 : 8 ~ 27
A. V. Diez-Roux / 2000 / Multilevel analysis in public health research / Annual review of public health 21 : 171 ~ 192
D. A. Luke / 2004 / Multilevel modeling / Sage publications : 4 ~ 9
E. J. Bang / 2005 / The impact of SES on health:A multilevel analysis study / 석사 / Seoul national university
E. J. Wagenmakers. / 2004 / AIC model selection using Akaike weights / Psychonomic bulletin & review 11 (1) : 192 ~ 196
A. V. Diez-Roux / 2000 / Multilevel analysis in public health research / Annual review of public health 21 : 171 ~ 192
D. A. Luke / 2004 / Multilevel modeling / Sage publications : 4 ~ 9
E. J. Bang / 2005 / The impact of SES on health:A multilevel analysis study / 석사 / Seoul national university
E. J. Wagenmakers. / 2004 / AIC model selection using Akaike weights / Psychonomic bulletin & review 11 (1) : 192 ~ 196
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