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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