Pooled Estimate of Proportion Calculator
Pooled estimate of proportion is a statistical method used to estimate the true proportion of an attribute in a population based on the proportions observed in multiple samples. It’s crucial in meta-analysis and systematic reviews to combine evidence from different studies.
- Enter the sample size and the observed proportion in the respective fields.
- Select the desired confidence level.
- Click ‘Calculate’ to see the pooled estimate and a visual representation.
The formula for the pooled estimate of proportion is:
p_pooled = (n1*p1 + n2*p2 + ... + nk*pk) / (n1 + n2 + ... + nk)
where n1, n2, …, nk are the sample sizes, and p1, p2, …, pk are the observed proportions in each sample.
| Confidence Level | Pooled Estimate |
|---|---|
| 90% | 0.523 |
| 95% | 0.518 |
| 99% | 0.512 |
- Always use the highest quality data available.
- Consider the heterogeneity of the studies when pooling estimates.
- Interpret the results in the context of the original studies.
What is the difference between a fixed and random effects model?
In a fixed effects model, it’s assumed that the true effect is the same in all studies. In a random effects model, it’s assumed that the true effect varies randomly among studies.