Table IV.
AARP study: estimated regression coefficient for log per cent calories from fat in a logistic regression of mortality on log per cent calories from fat and age, using six methods of estimation: naïve logistic regression of mortality on FFQ, regression calibration for FFQ in the main study (RC1), regression calibration for 24HR in the calibration sub-study (RC2), efficient regression calibration (ERC), moment reconstruction (MR) and multiple imputation (IM); standard errors* are in parentheses.
Gender | N (No. of deaths) in main study | n (No. of deaths) in calibration sub-study | Naïve | RC1 | RC2 | ERC | MR | IM |
---|---|---|---|---|---|---|---|---|
Male | 322 321 (43810) | 987 (114) | 0.55 (0.02) | 1.06 (0.07) | 1.27 (0.72) | 1.06 (0.07) | 1.37 (0.75) | 1.17 (0.74) |
Female | 223 278 (20382) | 966 (94) | 0.71 (0.03) | 1.54 (0.14) | 1.17 (0.75) | 1.53 (0.13) | 1.14 (0.82) | 0.74 (0.69) |
Standard errors are estimated using a non-parametric bootstrap method with 100 replications.