What are the potential risks associated with incorrectly assuming that data are MCAR when they are actually MAR?
- Bias in parameter estimates
- Both underestimation of standard errors and bias in parameter estimates
- No potential risks
- Underestimation of standard errors
If data are incorrectly assumed to be MCAR when they are actually MAR, it can lead to both underestimation of standard errors and bias in parameter estimates, leading to inaccurate analyses and conclusions.
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