Assessing Sensitivity of the Cochran–Mantel–Haenszel Test
Author Information
Author(s): Yu Binbing, Gastwirth Joseph L.
Primary Institution: National Institute on Aging
Hypothesis
How sensitive is the Cochran–Mantel–Haenszel test to unobserved confounders?
Conclusion
The study presents a method to assess the sensitivity of the CMH test to omitted confounders, indicating that maternal hypertension may not be causally related to low birth weight without considering race as a confounder.
Supporting Evidence
- The CMH test is significant with p=0.015 and the odds ratio is 2.74.
- The study indicates that the significant association between maternal hypertension and LBW might be due to hidden biases.
- Race is identified as a potential unobserved confounder affecting the results.
Takeaway
This study looks at how hidden factors can affect the results of medical tests, showing that we need to consider things like race when studying health issues.
Methodology
The study uses sensitivity analysis to evaluate the robustness of the CMH test results against unobserved confounders, applying it to two datasets.
Potential Biases
Potential bias exists if unobserved confounders are not adequately accounted for in the analysis.
Limitations
The analysis relies on assumptions about the prevalence of unobserved confounders, which may not be accurate.
Participant Demographics
The study includes data from 500 singleton births, with a focus on maternal hypertension and low birth weight infants.
Statistical Information
P-Value
0.015
Confidence Interval
(1.23, 6.14)
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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