Data Analysis & Results
- Describe and critique the methods used to control confounding at the analysis level.
- Describe and critique the methods used to measure the association between exposure
and disease. - Describe and critique the methods used to measure the precision of the statistical
estimates (e.g., confidence interval). - Is the internal consistency among the data presented in the paper (e.g., do the
numbers and percentages sum appropriately in the tables)?
D. Interpretation of data - Present the major results of the study.
- How might bias have affected these results?
- To whom may the results of this study be generalized?
- Is the interpretation of the data conservative?