Table 1.

Description of the imputation models used for both MCAR and MAR data

Imputation model	Variables included	${R_Y}^2$a
1 (least auxiliary information)	Y, X	0.36
2	Y, X, Z3	0.40
3	Y, X, Z1	0.52
4	Y, X, Z1–4	0.76
5 (most auxiliary information)	Y, X, Z1–11	0.92

^a${R_Y}^2$, the total coefficient of multiple correlation with the outcome $Y$ for all variables included in the imputation model, is displayed as a measure of the strength of the auxiliary information in each imputation model.