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Multiple imputation by chained equations (MICE): Implementation in Stata
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نویسنده
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royston p. ,white i.r.
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منبع
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journal of statistical software - 2011 - دوره : 45 - - کد همایش: - صفحه:1 -20
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چکیده
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Missing data are a common occurrence in real datasets. for epidemiological and prognostic factors studies in medicine,multiple imputation is becoming the standard route to estimating models with missing covariate data under a missing-at-random assumption. we describe ice,an implementation in stata of the mice approach to multiple imputation. real data from an observational study in ovarian cancer are used to illustrate the most important of the many options available with ice. we remark briefly on the new database architecture and procedures for multiple imputation introduced in releases 11 and 12 of stata.
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کلیدواژه
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Categorical variables; Chained equations; Continuous variables; Missing data; Multiple imputation
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آدرس
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medical research council,hub for trials methodology research,clinical trials unit,united kingdom,university college london,aviation house,125 kingsway,london wc2b 6nh, United Kingdom, medical research council,hub for trials methodology research,clinical trials unit, United Kingdom
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Authors
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