Optimal design when outcome values are not missing at random
نویسندگان
چکیده
منابع مشابه
Optimal Design When Outcome Values Are Not Missing at Random
The presence of missing values complicates statistical analyses. In design of experiments, missing values are particularly problematic when constructing optimal designs, as it is not known which values are missing at the design stage. When data are missing at random it is possible to incorporate this information into the optimality criterion that is used to find designs; Imhof, Song, and Wong (...
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ژورنال
عنوان ژورنال: Statistica Sinica
سال: 2018
ISSN: 1017-0405
DOI: 10.5705/ss.202016.0526