Sentence examples for odds parameter from inspiring English sources

Markers were assigned to linkage groups applying the independence LOD (logarithm of the odds) parameter with LOD threshold values ranging from 2.0 to 20.0.

The first term in the summation is the contribution of participant sampling uncertainty, and is estimated by the mean value of the log odds parameter variance across 500 iterations of the logistic regression.

We characterized overall uncertainty in the epidemiological association using the law of total variance: var(b) = E[var(b|X)] + var[E(b|X)], where b is the log odds parameter estimate and X is the collection of personal exposure estimates.

The weak association between PFOA and preeclampsia may also make it appear less sensitive to both shared and independent exposure uncertainties (e.g., a change of the AOR from 1.11 to 1.07 appears small but actually constitutes a 35% decrease in the log odds parameter).

In the above, the control arm (baseline) log odds parameters μ jb are treated as nuisance parameters, and assigned non-informative normal distribution priors with mean 0 and very large variances, typically of 1000 or 10000.

Because log-odds parameters are defined within the range \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ (- \infty, \infty ) $$\end{document}, distortions from ceiling or floor probabilities are mitigated.

To compute p-values (which we call empirical p-values), we applied a permutation scheme to the Wald's statistics of the genotype specific odds ratio parameter, to the Wald test measuring the goodness of fit of the model and to the likelihood ratio tests used to check (a) the departure from a multiplicative model and (b) to perform a conditional independent test (see below).

They provided an estimate of the same odds ratio parameter as the DICH method, but without loss of information [ 11].

In this case, the shift between T2 and T3 behaviour is represented by an odds ratio parameter.

* The MCMC simulation did not converge for the log odds ratio parameter (within the first 1.000.000 runs), and thus did not produce meaningful results.

Either stratum-specific or sliding window estimates can equally be estimated with a binary outcome by using a log-linear or logistic analysis model to estimate a relative risk or odds ratio parameter.