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s was determined based on logistic regression fit of the longitudinal sequence frequency change of the founder epitope.
In addition, the observed mean error rate on the first post-sleep trial (0.15 errors/sequence) and the theoretical value (0.15 errors/sequence) derived from a logistic regression fit of the error rates on pre-sleep trials 1 3 (Fig. 1A, red curve) were nearly identical (t(43) = 0.06, P≫0.1).
For comparison purposes, a simple model based on a unique variable was employed, named "one-rule", selecting the most discriminative variable, based on a univariable logistic regression fit.
Figure 4a shows the logistic regression fit for a continuous range of modeled WTDs 2 weeks before transmission and fixed values of modeled WTD 17 weeks before transmission.
A logistic regression fit to patient-level data from three clinical GnRH agonist (nafarelin) studies described the relationship of estrogen with endometrial-related pain.
For the experiments below, we performed a logistic regression fit for the eight founder alleles at each locus (using R-GLM).
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The sigmoidal curves are logistic regression fits to the observed data (Methods).
The curves presented in Figure 6 correspond to the logistic regression fitted values.
Table 2 > -wrap-foot> presenthethe results from separate multivariate logistic regression fits for each preserved food consumption measure.
Analysis of the logistic regression fitted values, i.e. the estimated probability of progression, is presented in Table 1.
However, Schurink et al. [ 14] used logistic regression fitting single SNP effects, while our Bayes-C method fitted all SNP simultaneously.
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