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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Institution Date Title Author
臺大學術典藏 2022-08-09T07:04:34Z Stages of Biological Development across Age: An Analysis of Canadian Health Measure Survey 2007-2011 Chao, Yi-Sheng; HSING-CHIEN WU; Wu, Chao-Jung; Chen, Wei-Chih
臺大學術典藏 2021-11-08T01:52:19Z A network perspective of engaging patients in specialist and chronic illness care: The 2014 international health policy survey Chao Y.-S.; Scutari M.; Chen T.-S.; Wu C.-J.; Durand M.; Boivin A.; HSING-CHIEN WU; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:19Z Index or illusion: The case of frailty indices in the Health and Retirement Study Chao Y.-S.; HSING-CHIEN WU; Wu C.-J.; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:18Z Drug trends among non-institutionalized Canadians and the impact of data collection changes in the Canadian Health Measures Survey 2007 to 2015 Chao Y.-S.; Wu C.-J.; HSING-CHIEN WU; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:18Z Trend analysis for national surveys: Application to all variables from the Canadian Health Measures Survey cycle 1 to 4 Chao Y.-S.; Wu C.-J.; HSING-CHIEN WU; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:18Z A proposal for a self-rated frailty index and status for patient-oriented research Chao Y.-S.; McGolrick D.; Wu C.-J.; HSING-CHIEN WU; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:17Z Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty Chao Y.-S.; Wu C.-J.; HSING-CHIEN WU; Hsu H.-T.; Tsao L.-C.; Cheng Y.-P.; Lai Y.-C.; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:17Z Opportunities and Challenges From Leading Trends in a Biomonitoring Project: Canadian Health Measures Survey 2007�V2017 Chao Y.-S.; Wu C.-J.; HSING-CHIEN WU; Hsu H.-T.; Tsao L.-C.; Cheng Y.-P.; Lai Y.-C.; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:17Z Simulation study to demonstrate biases created by diagnostic criteria of mental illnesses: Major depressive episodes, dysthymia, and manic episodes Chao Y.-S.; Lin K.-F.; Wu C.-J.; HSING-CHIEN WU; Hsu H.-T.; Tsao L.-C.; Cheng Y.-P.; Lai Y.-C.; Chen W.-C.
臺大學術典藏 2021-11-08T01:52:16Z Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes Chao Y.-S.; Wu C.-J.; HSING-CHIEN WU; Hsu H.-T.; Tsao L.-C.; Cheng Y.-P.; Lai Y.-C.; Chen W.-C.

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