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STATISTICAL METHODS FOR MISMEASURED OR MISSING DATA

STATISTICAL METHODS FOR MISMEASURED OR MISSING DATA
针对误测或缺失数据的统计方法
批准号：
6289962
负责人：
DAVID M UMBACH
金额：
$0.0万
依托单位：
NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
--
资助国家：
美国
项目状态：
未结题
起止时间：
至
来源：
https://reporter.nih.gov/project-details/6289962
关键词：
data collection methodology /evaluation epidemiology health science research analysis /evaluation method development statistics /biometry

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中文摘要
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英文摘要
Mismeasured or missing data can lead to false or misleading conclusions and present a widespread problem in a variety of biomedical fields, including environmental epidemiology. On the other hand, by carefully designing studies to make use of planned missingness, researchers may save money while achieving valid and powerful statistical inference. This project seeks to develop new statistical methods and to apply existing methods to address challenges to valid statistical estimation and testing posed by mismeasured or missing data, both unplanned and planned. - logistic regression, case-control studies, statistical models
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STATISTICAL METHODS IN HUMAN DEVELOPMENT/CLINICAL STUDIES
STATISTICAL METHODS FOR MISMEASURED OR MISSING DATA
Statistical Methods In Human Development/Clinical Study
Statistical Methods In Human Development/clinical Studie
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