Confidence intervals for proportions with focus on the US National Health and Nutrition Examination Survey
The question is which of the many possible confidence intervals available should be recommended for the US National Health and Nutrition Examination Survey (NHANES) end users and what cautions should be given.
Finally, there are additional complications if the actual interval for the proportion is used in combination with Woodruff's methods to form confidence intervals for small and large quantiles.
This type of interdisciplinary work is a hallmark of our program in Applied Statistics at Simon Fraser University. For more information, please contact Xin Feng (firstname.lastname@example.org) or her supervisor Randy Sitter (email@example.com), Department of Statistics and Actuarial Science.
30 November 2006.