• Who we are
  • Courses
  • Contact Us
  • Citations
  • Student Dashboard
Skip to content
Evidence Synthesis Academy
Evidence Synthesis Academy

Evidence Synthesis Academy

Training the next generation of evidence synthesis consumers and producers

Confidence intervals

Back to: Analyze & Synthesize Data

You then draw a horizontal line through the square. This is the “confidence interval.” It reflects your level of uncertainty about the study results. The longer the line, the more unsure the researchers were about the difference between the two drugs.

Previous Lesson
Study results
Next Lesson
Displaying your studies

Post navigation

Previous PostPrevious Common effect example
Next PostNext Displaying your studies
  • Getting started
    • Getting started
    • What do I do first?
    • To meta-analyze or not to meta-analyze?
  • Meta-analysis basics
    • Meta-analysis
    • What meta-analysis does
    • Averaging Approach #1
    • Averaging approach #2 (stratified pooling)
    • How did that happen?
    • What approach to use?
  • Weighting
    • Weighting
    • Weighting by precision
    • What is precision?
    • Precision example
    • Precision example answer
    • Precision and sample size
    • Weighting with Precision
    • How to find precision
    • Other weights
  • Common + Random Effects
    • One truth or many?
    • The common effect model
    • Common effect example
    • What if studies aren’t identical?
    • Random effects model
    • When to use random effects
    • Let’s review
  • Interpreting your results
    • Now what?
    • Meet the forest plot
    • How to make a forest plot
    • Study results
    • Confidence intervals
    • Displaying your studies
    • Telling a story
    • Inserting your final result
  • Are you sure?
    • Are you sure?
    • Subgroup analysis
    • How sensitive is your answer?
    • Leave one out analysis
    • Next steps

Sponsors


Fax:


Providence, RI 02912

This website was developed with a R25 grant (PI: Schmid ) from the Agency for Healthcare Research and Quality.