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Most straightforward from maximum likelihood theory is the Unconditional Maximum Likelihood approach (UML; or Joint Maximum Likelihood, JML; cf. Baker and Kim 2004, ch. 5.6).
In this example, the usual unconditional maximum likelihood estimator of the odds ratio, with the related approximate 95% confidence interval (Woolf interval), would lead to the following results: θ ML * = 0.249 Woolf 95% confidence interval: 0.068 to 0.904.
Unmatched stratified logistic regression was fitted using unconditional maximum likelihood methods (SAS version 8.1).
The 95% confidence intervals (CI) were calculated by unconditional maximum likelihood estimation.
Equation (3) will also fail because the unconditional maximum likelihood estimate of β1 will be biased.
Prevalence ratios were calculated using unconditional maximum likelihood estimation and Fisher exact P-values.
Similar(50)
The unconditional stability and convergence in maximum norm are strictly proved in Section 3 by the energy method.
Here we determine estimates for both parameter vectors simultaneously by finding the maximum of the unconditional likelihood function as a function of θ and β.
Odds ratios (ORs) were estimated by maximum likelihood using unconditional logistic regression.
Pooling all immune challenged groups, i.e. larval or adult challenge with either nylon or bacteria, and comparing them to the pooled procedural control, showed a significant effect of immune challenge on shortening maximum lifespan (Exact Unconditional Independence Test: Test Statistic = −2.60, P = 0.01).
Associations with the presence of penile HPV infection were evaluated using unconditional multiple logistic regression models with maximum likelihood estimation of parameter values to obtain odds ratios (OR) and corresponding 95% CIs (Breslow and Day, 1980).
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