It’s your single place to instantly We'll do our best to fix them. (The lower end of the interval is 0.53 – 0.10 = 0.43 or 43%; the upper end is 0.53 + 0.10 = 0.63 or 63%.) Optimal designs of two‐stage studies for estimation of sensitivity, specificity and positive predictive value. I am trying to calculate the proportion and 95% CI for those with the condition after weighting by size of clinic (i.e., number of total clinic visits that year). The critical aspect is the incorporation of the weighting scheme into the construction of a single overall confidence interval. With small numbers of events, the binomial based methods may be inadequate since the normal approximation is not valid. If you do not receive an email within 10 minutes, your email address may not be registered, Learn about our remote access options. To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one. discover and read the research With small numbers of events, the binomial based methods may be inadequate since the normal approximation is not valid. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC 29208, U.S.A. Use the link below to share a full-text version of this article with your friends and colleagues. 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. With small numbers of events, the binomial based methods may be inadequate since the normal approximation is not valid. / Waller, Jennifer L.; Addy, Cheryl L.; Jackson, Kirby L.; Garrison, Carol Z. T1 - Confidence intervals for weighted proportions. 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. UR - http://www.scopus.com/inward/record.url?scp=0028246687&partnerID=8YFLogxK, UR - http://www.scopus.com/inward/citedby.url?scp=0028246687&partnerID=8YFLogxK, Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2020 Elsevier B.V, "We use cookies to help provide and enhance our service and tailor content. The critical aspect is the incorporation of the weighting scheme into the construction of a single overall confidence interval. All DeepDyve websites use cookies to improve your online experience. 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. The methods involving the binomial variance tend to be negatively biased and the methods based on the F‐distribution tend to be positively biased. Screening for stratification in two-phase ('two- stage') epidemiological surveys. 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. 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. With small numbers of events, the binomial based methods may be inadequate … Search Dive into the research topics of 'Confidence intervals for weighted proportions'. Reset filters. Jennifer L. Waller, Cheryl L. Addy, Kirby L. Jackson, Carol Z. Garrison, Research output: Contribution to journal › Article › peer-review. The methods involving the binomial variance tend to be negatively biased and the methods based on the F‐distribution tend to be positively biased. Please check your email for instructions on resetting your password. They were placed on your computer when you launched this website. Grading a developmental continuum—elegy on the rise and fall of the endometrial biopsy. @article{2d8ffa9c5c9e4d50b53b3a646f5f3fc3. 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. Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place. Thanks for helping us catch any problems with articles on DeepDyve. Learn more. Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more. Find any of these words, separated by spaces, Exclude each of these words, separated by spaces, Search for these terms only in the title of an article, Most effective as: LastName, First Name or Lastname, FN, Search for articles published in journals where these words are in the journal name, /lp/wiley/confidence-intervals-for-weighted-proportions-eQGLEu5xWz, Strategies in multivariate analysis of data from complex surveys, Koch, Koch; Freeman, Freeman; Freeman, Freeman, Balanced repeated replication for standard errors, A simple method for approximating the variance of a complicated estimate, Computerized method for approximating the variance of a complicated estimate, Inference from stratified samples: Properties of the linearization, jackknife, and balanced repeated replication methods, Strategies in the multivariate analysis of data from complex surveys II: An application to the United States National Health Interview Survey, Freeman, Freeman; Freeman, Freeman; Brock, Brock; Koch, Koch. The critical aspect is the incorporation of the weighting scheme into the construction of a single overall confidence interval. Find the confidence interval at the 90% Confidence Level for the true population proportion of southern California community homes meeting at least the minimum recommendations for earthquake preparedness. Transmission of pandemic influenza A (H1N1) 2009 within households: Edmonton, Canada. Frequency of Phobic Disorder in a Community Sample of Young Adolescents. N2 - 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. 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. Confidence intervals for weighted proportions. The methods involving the binomial variance tend to be negatively biased and the methods based on the F‐distribution tend to be positively biased. Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals. Adverse effects of antifungal therapies in invasive fungal infections: review and meta-analysis. 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. 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.

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