# Chi-square p-value

## Odds ratio with 95% confidence interval should be reported and interpreted

**p-values are not the primary inference that should be interpreted**for practical purposes. The

**lack of precision and accuracy**in categorical measures coupled with

**sampling error**makes the

**p-values yielded from**.

__Chi-square__analyses virtually worthless in the applied sense**The correct statistic to run is an unadjusted**. This is the best measure for

__odds ratio__with 95% confidence interval**interpreting the magnitude of the association between two dichotomous categorical variables collected in a retrospective fashion**.

__can be calculated when the association is assessed in a__

**Relative risk****prospective**fashion.

The

**width of the 95% confidence interval and it crossing over 1.0**dictate the

**significance and precision**of the association between the variables. With

**smaller sample sizes**, the 95% confidence interval will be wider and less precise.

**Larger sample sizes**will yield more precise effects.