Principled missing data methods for researchers
نویسندگان
چکیده
منابع مشابه
Principled missing data methods for researchers
The impact of missing data on quantitative research can be serious, leading to biased estimates of parameters, loss of information, decreased statistical power, increased standard errors, and weakened generalizability of findings. In this paper, we discussed and demonstrated three principled missing data methods: multiple imputation, full information maximum likelihood, and expectation-maximiza...
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ژورنال
عنوان ژورنال: SpringerPlus
سال: 2013
ISSN: 2193-1801
DOI: 10.1186/2193-1801-2-222