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来源类型	Publication
来源ID	Working Paper 18
	Predicting Objective Physical Activity from Self-Report Surveys: Limitations Based on a Model Validation Study Using Estimated Generalized Least Squares Regression
	Nick Beyler
发表日期	2013-06-30
出版者	Washington, DC: Mathematica Policy Research
出版年	2013
语种	英语
概述	This working paper used measurements of accelerometer-based and self-reported physical activity from the National Health and Nutrition Examination Survey 2003–2006 to develop and validate a set of models for predicting objective moderate to vigorous physical activity from self-report variables and other demographic characteristics. ",
摘要	This working paper used measurements of accelerometer-based and self-reported physical activity from the National Health and Nutrition Examination Survey 2003–2006 to develop and validate a set of models for predicting objective moderate to vigorous physical activity from self-report variables and other demographic characteristics. The prediction intervals produced by the models were extremely large, suggesting that the ability to predict objective physical activity from self-reports is limited.
URL	https://www.mathematica.org/our-publications-and-findings/publications/predicting-objective-physical-activity-from-selfreport-surveys-limitations-based-on-a-model-validation-study-using-estimated-generalized-least-squares-regression
来源智库	Mathematica Policy Research (United States)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/487442
推荐引用方式 GB/T 7714	Nick Beyler. Predicting Objective Physical Activity from Self-Report Surveys: Limitations Based on a Model Validation Study Using Estimated Generalized Least Squares Regression. 2013.

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Predicting_Objective（489KB）	智库出版物		限制开放	CC BY-NC-SA	浏览

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