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10/18(목)16시 연사:김소은 (숭실대학교 정보통계보험수리학과)
작성자 관리자조회수 67날짜 2018.10.12
일시: 10월 18일(목) 4:00PM

장소 : 벤처관 711호

연사: 김소은 (숭실대학교 정보통계보험수리학과)

제목: Imputation methods for missing data in clinical studies

내용 :Missing values are common in clinical studies, and inference can be complicated when data from experiments or surveys involve incomplete data. It is important to deal with missing values appropriately in order to avoid obtaining biased results. This talk presents some missing data methods for clinical data, and introduces multiple imputation method that accommodates potential for interactions in regression relationships. Standard software for multiple imputation rely on assumptions which may not be satisfied with non-additively related variables in regression models. Conditional distribution is derived for multiple imputation, which is compared with several standard methods that assume multivariate normality of variables. Simulation study is presented together with data application for illustration.
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다음 10/11(목)16시연사:안성수교수(가천대학교)