RLO: Confidence Intervals

 

What about continuous data?

Some trials don’t measure effect in terms of “did it happen or not”, so called dichotomous data.  Instead they measure the effect on a continuous measure such as blood pressure, or months of survival.  Confidence Intervals can also be calculated for these measures, and used to assess significance of the result.

Consider a trial comparing the effect of drug X and placebo on FEV1­  in patients with chronic obstructive airways disease. At the end of the trial, the FEV1 of patients who received drug X has, on average, declined 50ml less than in those who received placebo.The 95% confidence interval is 5mL-100mL (display white box). Is this result statistically significant? Click on “yes” or “no” to indicate your opinion.

Is this result clinically significant? Click on “yes” or “no” to indicate your opinion.

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