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Using the Multilevel Generalized Mixed Model to Impute Missing Accelermometry
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Wilson, Rebbecca P. |
| 단체저자명 | The University of North Carolina at Chapel Hill. Biostatistics. |
| 서명/저자사항 | Using the Multilevel Generalized Mixed Model to Impute Missing Accelermometry. |
| 발행사항 | [S.l.] : The University of North Carolina at Chapel Hill., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 111 p. |
| 소장본 주기 | School code: 0153. |
| ISBN | 9780438064898 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Shrikant Bangdiwala |
| 요약 | Accelerometers provide objective measures of physical activity and sedentary behavior. Typically, the device is worn for one week during all waking hours to measure physical activity counts for a period time (e.g., minute). A challenge is accoun |
| 요약 | We proposed imputing counts/min for nonwear using a multilevel generalized mixed model (MGMM) and account for multivariate counts under a complex survey design. Using data from the Hispanic Community Health Study/ Study of Latinos (2008 -- 2011) |
| 요약 | Our results showed that (1) accelerometer average counts/min were higher for wear versus nonwear segments in an interval, thus, we concluded that the MCAR assumption of the ad hoc approach was not tenable. (2) The MGMM indicated a clear associat |
| 요약 | Further research in this area will greatly improve physical activity guidelines established using accelerometer data that better accounts for nonwear time. |
| 일반주제명 | Biostatistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997559 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026992 | 574 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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