Analyzing Fleminger Data and Results

In-depth analysis of Fleminger data and results including overall mean, categorical moderator comparison, heterogeneity statistics interpretation, continuous moderator evaluation, funnel plot review, and comparison with a published article. Explore fixed-effects modeling, prediction intervals, and graphical representations to dissect the findings effectively.

• Analysis
• Data
• Fleminger
• Results
• Comparison

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Uploaded on Apr 16, 2025 | 0 Views

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Presentation Transcript

1. Fleminger

2. Analyses 1 Compute and interpret overall mean, CI 4. Compute and interpret categorical moderator 2. Compute and interpret heterogeneity stats Tau-squared I-squared PI 5. Compute and interpret continuous moderator 6. Run a funnel plot with trim-and-fill and interpret 3. Graph overall results with forest plot and interpret 7. Compare your results to those of the published article +

3. Fleminger Data

4. When I input OR and CI, the CMA program refused several of the rows (asymmetric CI was the error message). When I input the counts, it worked.

5. 1. Overall They ran fixed-effects Not sure about the prediction interval. Might have to convert to log(OR) and back.

6. 2. Heterogeneity I-squared is small. Note tau is in the metric of log(odds); hard to interpret.

7. Prediction Interval

8. 3. Graph Overall Results CMA PUBLISHED GRAPH

9. 4. Categorical Moderator Pre vs Post Mortimer

10. 4. Categorical Moderator Pre vs Post Mortimer

11. 5. Continuous Moderator

12. 5. Continuous moderator

13. 6. Funnel Plot