CAUSAL METHODS FOR OBSERVATIONAL RESEARCH: A PRIMER

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ALMASI HASHIANI AMIR; NEDJAT SAHARNAZ; MANSOURNIA MOHAMMAD ALI

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Journal Paper

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Journal: ARCHIVES OF IRANIAN MEDICINE Year:2018 | Volume:21 | Issue:4 Page(s): 164-169

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Information Journal Paper

Title

CAUSAL METHODS FOR OBSERVATIONAL RESEARCH: A PRIMER

Author(s)

ALMASI HASHIANI AMIR | NEDJAT SAHARNAZ | MANSOURNIA MOHAMMAD ALI | Issue Writer Certificate

Keywords

CAUSAL METHODS

INVERSE

PROBABILITY

TREATMENT

WEIGHTING

OBSERVATIONAL STUDIES

PARAMETRIC G

FORMULA

TARGETED MAXIMUM LIKELIHOOD ESTIMATION

Abstract

The goal OF many OBSERVATIONAL STUDIES is to estimate the causal effect OF an exposure on an outcome after adjustment for confounders, but there are still some serious errors in adjusting confounders in clinical journals. Standard regression modeling (e. g., ordinary logistic regression) fails to estimate the average effect OF exposure in total population in the presence OF interaction between exposure and covariates, and also cannot adjust for time-varying confounding appropriately. Moreover, stepwise algorithms OF the selection OF confounders based on P values may miss important confounders and lead to bias in effect estimates. CAUSAL METHODS overcome these limitations. We illustrate three CAUSAL METHODS including INVERSE-PROBABILITY-OF-TREATMENT-WEIGHTING (IPTW) and PARAMETRIC G-FORMULA, with an emphasis on a clever combination OF these 2 methods: TARGETED MAXIMUM LIKELIHOOD ESTIMATION (TMLE) which enjoys a double-robust property against bias.

Cites

Research Methods: Risk Ratio Estimation in Longitudinal Studies

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APA: Copy

ALMASI HASHIANI, AMIR, NEDJAT, SAHARNAZ, & MANSOURNIA, MOHAMMAD ALI. (2018). CAUSAL METHODS FOR OBSERVATIONAL RESEARCH: A PRIMER. ARCHIVES OF IRANIAN MEDICINE, 21(4), 164-169. SID. https://sid.ir/paper/281521/en

Vancouver: Copy

ALMASI HASHIANI AMIR, NEDJAT SAHARNAZ, MANSOURNIA MOHAMMAD ALI. CAUSAL METHODS FOR OBSERVATIONAL RESEARCH: A PRIMER. ARCHIVES OF IRANIAN MEDICINE[Internet]. 2018;21(4):164-169. Available from: https://sid.ir/paper/281521/en

IEEE: Copy

AMIR ALMASI HASHIANI, SAHARNAZ NEDJAT, and MOHAMMAD ALI MANSOURNIA, “CAUSAL METHODS FOR OBSERVATIONAL RESEARCH: A PRIMER,” ARCHIVES OF IRANIAN MEDICINE, vol. 21, no. 4, pp. 164–169, 2018, [Online]. Available: https://sid.ir/paper/281521/en

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