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Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

机译：观察研究中缺失数据缺失数据的框架：观察研究框架中缺失数据的处理和报告

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Katherine J. Lee; Kate M. Tilling; Rosie P. Cornish; Roderick J.A. Little; Melanie L. Bell; Els Goetghebeur; Joseph W. Hogan; James R. Carpenter;
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3. Methods for using clinical laboratory test results as baseline confounders in multi-site observational database studies when missing data are expected [J] . Raebel Marsha A., Shetterly Susan, Lu Christine Y., Pharmacoepidemiology and drug safety . 2016,第7期

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4. Study on the data filling model for the turning motion of the training boat with missing observations [C] . Xiaori Gao, Xiaodong Liu, Shujia Yan, Chinese Automation Congress . 2020

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5. A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models. [D] . Kwon, Hyukje. 2011

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6. Do the methods used to analyse missing data really matter? An examination of data from an observational study of Intermediate Care patients [O] . Billingsley Kaambwa, Stirling Bryan, Lucinda Billingham 2012

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7. Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data [O] . Hill Jennifer 2004

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Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

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