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6. Have Confounders Been Controlled?
Examining whether potential confounding variables have been controlled for either through study design or statistical adjustment is crucial. Methods such as multivariable regression models can help to account for confounders.
Frequently asked queries:
1. Are the Results Statistically Significant?
2. How Was the Data Collected?
3. Are There Any Biases?
4. What Are the Effect Sizes?
5. Are the Results Clinically Significant?
6. Have Confounders Been Controlled?
7. Are There Any Interaction Effects?
8. Is There Evidence of Causality?
9. How Generalizable Are the Findings?
10. Are the Results Consistent with Other Studies?
What Conditions are Included in the Charlson Comorbidity Index?
Why is IP Relevant in Epidemiology?
What is the MDRD Study Equation?
What are Systematic Errors?
What are Sources in Epidemiology?
What is the ROC Curve?
How Do Policy Inconsistencies Impact Public Health?
What Interventions Are Used to Control Spread?
How is Trauma Data Collected?
How is Safety Assessed?
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