Missing Data DC Fall 2014
Friday, Oct 31 9:00a
Courtyard Washington Embassy Row
Washington,
DC
If you're using conventional methods for handling missing data, you may be missing out. Conventional methods for missing data, like listwise deletion or regression imputation, are prone to three serious problems: Inefficient use of the available information, leading to low power and Type II errors. Biased estimates of standard errors, leading to incorrect p-values. Biased parameter estimates, due to failure to adjust for selectivity in missing data. More accurate and reliable results can be obtained… Show more
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