Pooled Estimate Of Proportion Calculator

Introduction & Importance

The pooled estimate of proportion is a statistical method used to combine the results of two or more independent studies to obtain a more precise estimate of a population proportion. This method is crucial in meta-analysis, where the results of multiple studies are combined to draw more robust conclusions.

How to Use This Calculator

1. Enter the proportion (between 0 and 1) and sample size for each study.
2. Click the “Calculate” button.
3. View the pooled estimate of proportion and confidence interval in the results section.
4. Visualize the data in the chart below the results.

Formula & Methodology

The formula for the pooled estimate of proportion is:

P_pooled = (n1*P1 + n2*P2) / (n1 + n2)

Where:

• P_pooled is the pooled estimate of proportion
• n1 and n2 are the sample sizes of the two studies
• P1 and P2 are the proportions of the two studies

Real-World Examples

Data & Statistics

Expert Tips

• Always ensure that the studies being combined are independent and similar in design.
• Consider using a random-effects model if the studies have significant heterogeneity.
• Interpret the confidence interval along with the pooled estimate to understand the precision of the estimate.

Interactive FAQ

What is the difference between a fixed-effects and random-effects model?

In a fixed-effects model, it is assumed that all studies share a common effect size, while in a random-effects model, it is assumed that the effect size varies across studies.

For more information, see the following resources:

• CDC – Pooled Estimates
• Meta-Analysis in Clinical Trials: An Overview