Re: “Linking missing data to study outcomes using multiple imputations”
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چکیده
منابع مشابه
Linking missing data to study outcomes using multiple imputations.
Re: " Linking missing data to study outcomes using multiple imputations " Dear Editor: In our analysis of data from the Canadian Community Health Survey examining body mass index (BMI) among immigrant and non-immigrant Canadian youth, multiple imputation (MI) was used to address missing data. 1 We believe that our approach to MI did not bias the study's main findings, which showed a statistical...
متن کامل[Multiple imputations for missing data: a simulation with epidemiological data].
In situations with missing data, statistical analyses are usually limited to subjects with complete data. However, such estimates may be biased. The method of 'filling in' missing data is called imputation. This article aimed to present a multiple imputation method. From a data set of 470 surgical patients, logistic models were developed for death as the outcome. Two incomplete data sets were g...
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متن کاملMultiple imputations and the missing censoring indicator model
Semiparametric random censorship (SRC) models (Dikta, 1998) provide an attractive framework for estimating survival functions when censoring indicators are fully or partially available. When there are missing censoring indicators (MCIs), the SRC approach employs a model-based estimate of the conditional expectation of the censoring indicator given the observed time, where the model parameters a...
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فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...
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ژورنال
عنوان ژورنال: Canadian Journal of Public Health
سال: 2015
ISSN: 0008-4263,1920-7476
DOI: 10.17269/cjph.106.5033