Fit a regression model with systolic blood pressure

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Finally, fit a regression model with systolic blood pressure as the dependent variable and age, gender, race, and BMI as predictors. Fit the model first using a standard design-based analysis of complete cases only, and then perform a multiple imputation analysis using the software of your choice.

a. Prepare a table comparing estimated regression parameters and standard errors under the two analysis approaches (complete cases only, and multiple imputation).

b. Have the multiple imputations of the item-missing values and subsequent multiple imputation analysis changed any of your conclusions about the significance of the predictor variables?

Reference no: EM131222433

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