Exact(2)
The new biomarker was added to the following: null model, model including a published risk score, model including a composite risk score estimated from the sample of interest, and multivariable model with individual predictors.
Also, the M1 model (model including the interaction term) improves when fitting the DLC1 SNP to the overdominant model and the CDK6 SNP to the additive model ("overdominant+additive") rather than fitting them both to the additive model ("additive+additive").
Similar(58)
We considered only two-factor interaction terms in this LLM analyses, as this led to a more parsimonious model (models including three-factor interaction or higher level interaction terms over-fitted the data in our case).
However, they are both significantly worse than the respective saturated models (model including worm strain: LRT, χ2 = 491.32, d.f.
We assessed the fit of global generalized linear models (models including all factors) using c-hat [76] and the fit of the global logistic regression models with a goodness of fit test [75, Supporting Text 1].
When we examine the AIC (21) and the significance of the high-order terms in the polynomial models, models including the second-order polynomial terms fit the human data better than the models including the first- and third-order polynomials.
*Conditional model: Model 1 included major-level variables alone; Model 2 included major-level variables and student-level socio-demographic variables; Model 3 included all variables.
Our first supplementary model (model B) included all the variables except for deprivation and ethnicity, the second model (model C) included deprivation but not ethnicity, and the third (model D) included ethnicity but not deprivation.
Reduced model: Model that includes only the significant model terms based on the selected design order.
Covariates in our base model (Model 1) included age, gender, and race/ethnicity.
The basic clinical model (model 1) included age, BMI, and hypertension.
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