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The measurement of observer agreement for categorical data.
TLDR
A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
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An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers.
TLDR
A subset of 'observers who demonstrate a high level of interobserver agreement can be identified by using pairwise agreement statistics betweeni each observer and the internal majority standard opinion on each subject.
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A one-way components of variance model for categorical data
A components of variance model for categorical data from unbalanced designs which is directly analogous to a one-way random effects ANO VA modelfor quantitative data is proposed. The variance…
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A general methodology for the analysis of experiments with repeated measurement of categorical data.
TLDR
This paper is concerned with the analysis of multivariate categorical data which are obtained from repeated measurement experiments and appropriate test statistics are developed through the application of weighted least squares methods.
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Average Partial Association in Three-way Contingency Tables: a Review and Discussion of Alternative Tests
Summary This paper reviews and discusses alternative methods for assessing average partial association in three-way contingency tables. Primary attention is directed at the relationship between two…
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The relationship between blood lead levels and blood pressure and its cardiovascular risk implications.
TLDR
The relationship between blood pressure and blood lead levels in the second National Health and Nutrition Examination Survey (1976-1980) has been examined and findings are consistent with current epidemiologic and animal studies, indicating that a causal relationship is probable.
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Blood pressure and nutrition in adults. The National Health and Nutrition Examination Survey.
TLDR
Observations from a representative sample of the US population have useful implications for prevention and treatment of high blood pressure.
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Mixed effects logistic regression models for longitudinal binary response data with informative drop-out.
TLDR
A shared parameter model with logistic link is presented for longitudinal binary response data to accommodate informative drop-out and comparisons are made to an approximate conditional logit model in terms of a clinical trial dataset and simulations to provide evidence that the share parameter model holds for the pain data.
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Large sample variance of kappa in the case of different sets of raters.
Published formulas for the large sample variance of the kappa statistic that are appropriate for the case of different sets of raters for different Ss, when each set of raters is selected at random…
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The analysis of longitudinal polytomous data: generalized estimating equations and connections with weighted least squares.
TLDR
This paper extends the estimating equations initially developed for clustered discrete data, and subsequently extended by Prentice, to polytomous response variables, and provides a formal framework for obtaining iterated weighted least squares model parameter estimates.
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