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Dealing with missing data: Key assumptions and methods …

Dealing with missing data: Key assumptions and methods …

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Missing data is a problem because nearly all standard statistical methods presume complete information for all the variables included in the analysis. A relatively few absent observations on some variables can dramatically shrink the sample size. As a result, the precision of confidence intervals is harmed, statistical

  With, Data, Leading, Missing, Assumptions, Missing data, Dealing with missing data, Key assumptions

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