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Subsequently, the tests of regression assumptions and difference tests consolidated the findings.
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If allele frequency does not depend on sex, sex can be omitted from the regression without compromising the test of the regression coefficient for genotype, but, if sex and disease status are truly related, omission of sex means that the model is mis-specified and it is necessary to use robust variance estimates for coefficients.
The ANOVA test of regression model showed that presence of intermediate uveitis and panuveitis was directly related with decline in final visual acuity by 0.491 + 0.646 logMar unit and 0.491 + 0.983 logMar unit.
88 90 Table 6 presents the tests of internal validation of the logistic regression models for men and women.
This paper is concerned with the testing hypotheses of regression parameters in linear models in which errors are negatively superadditive dependent (NSD).
In the present study, extensive data allowed the development and testing of regression models, with the loss estimation based on reduced forms, like those proposed by Heatwole and Rose (2013), but considered on a log10 scale.
Because of the small sample size, most of the statistical tests of the regression coefficients in Table 4 did not reach traditional significant level (P value < 0.05).
The stability tests of the regression coefficients were also performed.
Lifespan, by contrast, shows no trend, but this is attributable to two clear outliers, appearing as such in both the diagnostic tests of the regressions (Fig. 2c) and in the raw cross-species scatter-plots (Fig. 2d).
Table 3 showed the results of the test of significance for every regression coefficient.
The test of Egger uses linear regression to assess the relation between the standardized effect estimates and the standard error (SE).
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