Final answer:
The 95% confidence interval for the odds ratio can be calculated using the given data. The intervals are (1.09-3.51), (0.66-1.60), (0.08-0.12), (2.33-4.17), and (0.32-0.49). To calculate the confidence interval, take the lower value of each interval and the upper value of each interval, then calculate the mean of the lower values and the mean of the upper values. Finally, use the formula: odds ratio = (mean of upper values) / (mean of lower values). The calculated odds ratio will be the estimate, and the confidence interval can be calculated as follows: estimate ± (1.96 × standard error), where the standard error is the difference between the mean of the upper values and the mean of the lower values.
Step-by-step explanation:
The 95% confidence interval for the odds ratio can be calculated using the given data. The intervals are (1.09-3.51), (0.66-1.60), (0.08-0.12), (2.33-4.17), and (0.32-0.49). To calculate the confidence interval, take the lower value of each interval and the upper value of each interval, then calculate the mean of the lower values and the mean of the upper values. Finally, use the formula: odds ratio = (mean of upper values) / (mean of lower values).
The calculated odds ratio will be the estimate, and the confidence interval can be calculated as follows: estimate ± (1.96 × standard error), where the standard error is the difference between the mean of the upper values and the mean of the lower values.