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confidence interval for weighted proportion

We investigate methods for the construction of confidence intervals for a proportion in a stratified two‐stage sampling design with few events occurring in a small number of large, unequal size strata. Application of these methods with data from a study of adolescent depression that employs a stratified two‐stage sampling design is consistent with these results. With small numbers of events, the binomial based methods may be inadequate since the normal approximation is not valid. To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one. To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one. Working off-campus? The method that performs best in terms of coverage probability is the combination of stratum specific confidence intervals based on the F‐distribution using a rescaling factor. You can see your Bookmarks on your DeepDyve Library. Statistics in Medicine Include any more information that will help us locate the issue and fix it faster for you. The critical aspect is the incorporation of the weighting scheme into the construction of a single overall confidence interval. Application of these methods with data from a study of adolescent depression that employs a stratified two‐stage sampling design is consistent with these results. Genetic evidence for involvement of the IL23 pathway in Thai psoriatics. Read and print from thousands of top scholarly journals. European Journal of Clinical Microbiology & Infectious Diseases. The methods involving the binomial variance tend to be negatively biased and the methods based on the F‐distribution tend to be positively biased. Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more. Thanks for helping us catch any problems with articles on DeepDyve. Your 95% confidence interval for the percentage of times you will ever hit a red light at that particular intersection is 0.53 (or 53%), plus or minus 0.0978 (rounded to 0.10 or 10%). Waller, Jennifer L.; Addy, Cheryl L.; Jackson, Kirby L.; Garrison, Carol Z. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png, http://www.deepdyve.com/lp/wiley/confidence-intervals-for-weighted-proportions-eQGLEu5xWz. Select data courtesy of the U.S. National Library of Medicine. AB - We investigate methods for the construction of confidence intervals for a proportion in a stratified two‐stage sampling design with few events occurring in a small number of large, unequal size strata. (0.2975, 0.3796) (0.6270, 0.6959) (0.3041, 0.3730) (0.6204, 0.7025) Copy and paste the desired citation format or use the link below to download a file formatted for EndNote. Computer simulations compare coverage probability and bias for five methods of obtaining confidence intervals for proportions by combining: (1) binomial variances; (2) confidence intervals based on the F‐distribution approximation to the cumulative binomial; (3) the binomial variance method with exact confidence limits when a zero prevalence occurs in any stratum; (4) confidence intervals based on the F‐distribution using a rescaling factor; and (5) the binomial variance method with exact confidence limits using a rescaling factor. This binomial based method, while easy to … over 18 million articles from more than Confidence intervals around weighted proportions Posted 07-17-2014 04:46 PM (2266 views) I conducted a survey in multiple healthcare clinics to assess the prevalence of certain conditions (e.g., diabetes). Number of times cited according to CrossRef: Effects of national containment measures on decelerating the increase in daily new cases of COVID-19 in 54 countries and four epicenters of pandemic (Preprint). With small numbers of events, the binomial based methods may be inadequate … If you do not receive an email within 10 minutes, your email address may not be registered, To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one. Together they form a unique fingerprint. The methods involving the binomial variance tend to be negatively biased and the methods based on the F‐distribution tend to be positively biased. Asymptomatic peripheral arterial occlusive disease predicted cardiovascular morbidity and mortality in a 7-year follow-up study. Bookmark this article. Thus, the confidence CONFIDENCE INTERVALS FOR WEIGHTED PROPORTIONS interval is where ni is the number of individuals in the ith stratum.

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