Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry
出版年份 2019 全文链接
标题
Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry
作者
关键词
Auxiliary variables, Maximum likelihood estimation, Missing data, Registry, Mixed-effects model
出版物
Health and Quality of Life Outcomes
Volume 17, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-06-20
DOI
10.1186/s12955-019-1181-2
参考文献
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