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- 저자 : Huan-Jung Huang (검색결과 2 건)
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( Jun Yi Hsieh ),( Huan Jung Huang ) 한국행정학회 2010 한국행정학회 학술발표논문집 Vol.2010 No.-
Based on a sample of 997 public managers (middle- and senior level) and 34 ministries in Taiwan Central Government, the research demonstrated the use of a two-level hierarchical linear modeling (HLM) to examine the relationships of public managers and ministry`s settings, appropriately adjusted for a nested structure. In terms of within-ministry variance, the results indicated that public managers who have higher levels of self-efficiency tend to share more job satisfaction. However, public managers who engage in higher levels of surface acting and compassion of public service motivation are less likely to have more job satisfaction. Furthermore, public managers with more current job tenure and higher education have less job satisfaction. Compare to senior-level public managers, middle-level public managers less satisfied their job. In terms of between-ministry variance, the ministry which demonstrated higher levels of positive performance culture incurred higher levels of job satisfaction for public managers. The study further discussed the implications of these findings, offering direction for future research.
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A longitudinal analysis with CA-125 to predict overall survival in patients with ovarian cancer
An Jen Chiang,Jiabin Chen,Yu-Che Chung,Huan-Jung Huang,Wen Shiung Liou,Chung Chang 대한부인종양학회 2014 Journal of Gynecologic Oncology Vol.25 No.1
Objective: The objective of this study was to explore the association of longitudinal CA-125 measurements with overall survival (OS) time by developing a flexible model for patient-specific CA-125 profiles, and to provide a simple and reliable prediction of OS. Methods: A retrospective study was performed on 275 patients with ovarian cancer who underwent at least one cycle of primary chemotherapy in our institute. Serial measurements of patients’ CA-125 levels were performed at different frequencies according to their clinical plans. A statistical model coupling the Cox proportional hazards and the mixed-effects models was applied to determine the association of OS with patient-specific longitudinal CA-125 values. Stage and residual tumor size were additional variables included in the analysis. Results: A total of 1,601 values of CA-125 were included. Longitudinal CA-125 levels, stage, and the residual tumor size were all significantly associated with OS. A patient-specific survival probability could be calculated. Validation showed that, in average, 85.4% patients were correctly predicted to have a high or low risk of death at a given time point. Comparison with a traditional model using CA-125 half-life and time to reach CA-125 nadir showed that the longitudinal CA-125 model had an improved predicative value. Conclusion: Longitudinal CA-125 values, measured from the diagnosis of ovarian cancer to the completion of primary chemotherapy, could be used to reliably predict OS after adjusting for the stage and residual tumor disease. This model could be potentially useful in clinical counseling of patients with ovarian cancer.
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