Statistical Methods in Ophthalmology: An Adjusted Chi-Square Approach

DOI10.2307/2531501zbMath0715.62264OpenAlexW2072484964WikidataQ69693080 ScholiaQ69693080MaRDI QIDQ3201578

Allan Donner

Publication date: 1989

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2531501

zbMATH Keywords

intraclass correlationPearson chi-square testophtalmologyequality of proportions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (14)

Testing homogeneity of difference of two proportions for stratified correlated paired binary data ⋮ Confidence intervals for assessing equivalence of two treatments with combined unilateral and bilateral data ⋮ Chi-Square Test for R×CContingency Tables with Clustered Data ⋮ Confidence intervals of proportion differences for stratified combined unilateral and bilateral data ⋮ Testing the common risk difference of proportions for stratified uni‐ and bilateral correlated data ⋮ Exact methods of testing the homogeneity of prevalences for correlated binary data ⋮ Homogeneity test of relative risk ratios for stratified bilateral data under different algorithms ⋮ Testing non-inferiority for clustered matched-pair binary data in diagnostic medicine ⋮ Statistical methods for the meta-analysis of cluster randomization trials ⋮ A note on the tests for clustered matched-pair binary data ⋮ Testing equality of correlation coefficients for paired binary data from multiple groups ⋮ Testing the equality of proportions for correlated otolaryngologic data ⋮ Simultaneous confidence interval construction for many-to-one comparisons of proportion differences based on correlated paired data ⋮ Application of cusum technique and beta-binomial model in monitoring adverse drug reactions

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