TABLE 1

Estimated effect of maternal anemia on birth weight by model specification and estimator.

 |$\widehat{DR}$|ES-SEES-95% CIIF-SEIF-95% CINB-SENB-95% CI
Full covariate set       
Classic AIPW−3756(−147, 73)58(−151, 76)63(−161, 86)
Wtd regression AIPW−4156(−151, 69)56(−151, 68)61(−160, 78)
TMLE−3756(−147, 73)58(−151, 76)63(−160, 85)
Naive outcome       
Classic AIPW−3657(−148, 76)61(−156, 84)64(−162, 90)
Wtd regression AIPW−3657(−148, 77)61(−156, 84)64(−161, 90)
TMLE−3657(−148, 77)61(−156, 84)63(−160, 89)
Naive propensity       
Classic AIPW−4158(−154, 73)56(−150, 69)58(−155, 74)
Wtd regression AIPW−4757(−159, 65)54(−153, 59)59(−162, 68)
TMLE−4158(−154, 73)56(−150, 69)59(−155, 74)
 |$\widehat{DR}$|ES-SEES-95% CIIF-SEIF-95% CINB-SENB-95% CI
Full covariate set       
Classic AIPW−3756(−147, 73)58(−151, 76)63(−161, 86)
Wtd regression AIPW−4156(−151, 69)56(−151, 68)61(−160, 78)
TMLE−3756(−147, 73)58(−151, 76)63(−160, 85)
Naive outcome       
Classic AIPW−3657(−148, 76)61(−156, 84)64(−162, 90)
Wtd regression AIPW−3657(−148, 77)61(−156, 84)64(−161, 90)
TMLE−3657(−148, 77)61(−156, 84)63(−160, 89)
Naive propensity       
Classic AIPW−4158(−154, 73)56(−150, 69)58(−155, 74)
Wtd regression AIPW−4757(−159, 65)54(−153, 59)59(−162, 68)
TMLE−4158(−154, 73)56(−150, 69)59(−155, 74)

Abbreviations:CI = confidence interval, ES = empirical sandwich, IF = influence function, NB = nonparametric bootstrap, SE = standard error, Wtd = weighted. The naive outcome model included only the exposure, and the naive propensity model included only an intercept. The nonparametric bootstrap was based on 5000 resamples.

TABLE 1

Estimated effect of maternal anemia on birth weight by model specification and estimator.

 |$\widehat{DR}$|ES-SEES-95% CIIF-SEIF-95% CINB-SENB-95% CI
Full covariate set       
Classic AIPW−3756(−147, 73)58(−151, 76)63(−161, 86)
Wtd regression AIPW−4156(−151, 69)56(−151, 68)61(−160, 78)
TMLE−3756(−147, 73)58(−151, 76)63(−160, 85)
Naive outcome       
Classic AIPW−3657(−148, 76)61(−156, 84)64(−162, 90)
Wtd regression AIPW−3657(−148, 77)61(−156, 84)64(−161, 90)
TMLE−3657(−148, 77)61(−156, 84)63(−160, 89)
Naive propensity       
Classic AIPW−4158(−154, 73)56(−150, 69)58(−155, 74)
Wtd regression AIPW−4757(−159, 65)54(−153, 59)59(−162, 68)
TMLE−4158(−154, 73)56(−150, 69)59(−155, 74)
 |$\widehat{DR}$|ES-SEES-95% CIIF-SEIF-95% CINB-SENB-95% CI
Full covariate set       
Classic AIPW−3756(−147, 73)58(−151, 76)63(−161, 86)
Wtd regression AIPW−4156(−151, 69)56(−151, 68)61(−160, 78)
TMLE−3756(−147, 73)58(−151, 76)63(−160, 85)
Naive outcome       
Classic AIPW−3657(−148, 76)61(−156, 84)64(−162, 90)
Wtd regression AIPW−3657(−148, 77)61(−156, 84)64(−161, 90)
TMLE−3657(−148, 77)61(−156, 84)63(−160, 89)
Naive propensity       
Classic AIPW−4158(−154, 73)56(−150, 69)58(−155, 74)
Wtd regression AIPW−4757(−159, 65)54(−153, 59)59(−162, 68)
TMLE−4158(−154, 73)56(−150, 69)59(−155, 74)

Abbreviations:CI = confidence interval, ES = empirical sandwich, IF = influence function, NB = nonparametric bootstrap, SE = standard error, Wtd = weighted. The naive outcome model included only the exposure, and the naive propensity model included only an intercept. The nonparametric bootstrap was based on 5000 resamples.

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