normalized pearson chi-square test with binomial variance (CH Instruments)
90
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CH Instruments
normalized pearson chi-square test with binomial variance
Normalized Pearson Chi Square Test With Binomial Variance, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/binomial+test/normalized+pearson+chi+square+test+with+binomial+variance/pm38780488-127-19-20
Average 90 stars, based on 1 article reviews
Normalized Pearson Chi Square Test With Binomial Variance, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/binomial+test/normalized+pearson+chi+square+test+with+binomial+variance/pm38780488-127-19-20
Average 90 stars, based on 1 article reviews
normalized pearson chi-square test with binomial variance - by Bioz Stars,
2026-10
90/100 stars
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Modification:Article Title: Goodness-of-fit tests for modified Poisson regression possibly producing fitted values exceeding one in binary outcome analysis. Article Snippet: Abstract: Modified Poisson regression, which estimates the regression parameters in the log-binomial regression model using the Poisson quasi-likelihood estimating equation and robust variance, is a useful tool for estimating the adjusted risk and prevalence ratio in binary outcome analysis. Although several goodness-of-fit tests have been developed for other binary regressions, few goodness-of-fit tests are available for modified Poisson regression. In this study, we proposed several goodness-of-fit tests for modified Poisson regression, including the modified Hosmer-Lemeshow test with empirical variance, Tsiatis test, normalized Pearson chi-square tests with binomial variance and Poisson variance, and normalized residual sum of squares test. The original Hosmer-Lemeshow test and normalized Pearson chi-square test with binomial variance are inappropriate for the modified Poisson regression, which can produce a fitted value exceeding 1 owing to the unconstrained parameter space. A simulation study revealed that the normalized residual sum of squares test performed well regarding the type I error probability and the power for a wrong link function |