Letters to the Editor

Kim S Egerter S Cubbin C Takahashi ER Braveman P. Potential implications of missing income data in population-based surveys: An example from a postpartum survey in California. Public Health Rep 2007;122:753–63.

Greenland S Finkle WD . A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol 1995;142:1255–64.

Jones MP . Indicator and stratification methods for missing explanatory variables in multiple linear regression. J Am Stat Assn 1996;91:222–30.

Vach W Blettner M. Biased estimation of the odds ratio in case-control studies due to use of ad hoc methods of correcting for missing values for confounding variables. Am J Epidemiol 1991;134:895–907.

Horton NJ Kleinman KP . Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models. Am Stat 2007;61:79–90.

Carpenter JR Kenward MG Vansteelandt S. A comparison of multiple imputation and doubly robust estimation for analyses with missing data. J Royal Stat Society Series A 2006;169:571–84.

Schafer JL . Analysis of incomplete multivariate data. Boca Raton (FL): Chapman and Hall; 1997.

Krieger N. Why epidemiologists cannot afford to ignore poverty. Epidemiology 2007;18:658–63.

Kim S Egerter S Cubbin C Takahashi ER Braveman P. Potential implications of missing income data in population-based surveys: An example from a postpartum survey in California. Public Health Rep 2007;122:753–63.