(CASES WITH POS. OUTCOME-> # in exposed group [a]51, # in control group [c]17: CASES WITH NEG. OUTCOME-> # in exposed group

**149, # in control group [d]97)**

An odds-ratio calculator gave me the following

Odds Ratio: 1.9530

95% Confidence Interval (CI): 1.0659 to 3.5784

z statistic: 2.167

Significance Level: P = 0.0303

My question: Does the CI show a statistically significant association? I believe it does because it isn't equal to 1.

Some info. I found on interpreting CI says "If the 95% confidence interval for the OR does not contain 1.0 we can conclude that there is a statistically significant* association between the exposure and the disease. (* at the 0 05 significance level)." My CI is 1.0659 to 3.5784, so it technically does contain "1.0", but is greater. So, I just want to be sure that I can correctly interpret the results and say YES, THERE IS A STATISTICALLY SIGNIFICANT ASSOCIATION.

I could say that the odds of having Combination Syndrome for patients with Removable Dentures is 1.9530 times greater than the odds of having Combination Syndrome if the patient does not have Removable Dentures, right?

With a 95% CI and a P value of 0.03, I would reject the null hypothesis and accept the alternative hypothesis, correct?

I also entered the data into a Relative Risk calculator and got the following:

Relative Risk: 1.7100

95% CI: 1.0388 to 2.8148

z statistic: 2.110

Significance level: P = 0.0349

NNT (Benefit): 9.445

95% CI: 5.003 (Benefit) to 84.310 (Benefit)

So I can say that patients who have Removable Dentures are 1.71 times more likely to have Combination Syndrome, right?

I really appreciate the help. I'm just trying to make sure we get the interpretation of the results right for her thesis. The rest of her classmates paid an expert ($250) to do the work for them (which was encouraged by their director at the university here in Ecuador). Any other insights from this data are welcome and greatly appreciated

An odds-ratio calculator gave me the following

Odds Ratio: 1.9530

95% Confidence Interval (CI): 1.0659 to 3.5784

z statistic: 2.167

Significance Level: P = 0.0303

My question: Does the CI show a statistically significant association? I believe it does because it isn't equal to 1.

Some info. I found on interpreting CI says "If the 95% confidence interval for the OR does not contain 1.0 we can conclude that there is a statistically significant* association between the exposure and the disease. (* at the 0 05 significance level)." My CI is 1.0659 to 3.5784, so it technically does contain "1.0", but is greater. So, I just want to be sure that I can correctly interpret the results and say YES, THERE IS A STATISTICALLY SIGNIFICANT ASSOCIATION.

I could say that the odds of having Combination Syndrome for patients with Removable Dentures is 1.9530 times greater than the odds of having Combination Syndrome if the patient does not have Removable Dentures, right?

With a 95% CI and a P value of 0.03, I would reject the null hypothesis and accept the alternative hypothesis, correct?

I also entered the data into a Relative Risk calculator and got the following:

Relative Risk: 1.7100

95% CI: 1.0388 to 2.8148

z statistic: 2.110

Significance level: P = 0.0349

NNT (Benefit): 9.445

95% CI: 5.003 (Benefit) to 84.310 (Benefit)

So I can say that patients who have Removable Dentures are 1.71 times more likely to have Combination Syndrome, right?

I really appreciate the help. I'm just trying to make sure we get the interpretation of the results right for her thesis. The rest of her classmates paid an expert ($250) to do the work for them (which was encouraged by their director at the university here in Ecuador). Any other insights from this data are welcome and greatly appreciated