How do data management procedures like missing data handling make selection bias worse?
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Answer / Sandeep Tiwari
Data management procedures such as missing data handling can introduce or exacerbate selection bias if not done carefully. This is because missing values may not be random but may instead depend on the value of other variables in the dataset, leading to a biased sample. Improperly dealing with missing data can result in inaccurate analyses and biased conclusions.
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