Exact(1)
In addition to its utility for evaluating test performance, LCA may also be employed as a clustering algorithm, based on the posterior probability of subject membership in each latent class.
Similar(59)
We aimed to assess whether the clinical equipoise principle is satisfied in unbalanced randomized controlled trials (RCTs) (i.e., with an unequal probability of subjects being allocated to one group than another).
Thirdly, the inaccessible tool was often placed either adjacent to the reward or between the subject and the reward [7], [12], [20], [23], [27] increasing the probability of subjects retrieving it by chance, while attempting to retrieve the food with the unsuitable but available tool.
For multilevel models, it has been proposed to consider the concordance probability of subjects within the same cluster (within-cluster concordance probability) separately from the concordance probability of subjects in different clusters (between-cluster concordance probability) [ 7, 8].
They analyzed the data using a SAS Traj procedure which calculated the probability of subjects belonging to a trajectory and assigned each subject to a particular trajectory.
log Pr (y i = 1 ) 1 - Pr (y i = 1 ) = β 0 + β 1 x ij where Pr yi = 1) is the probability of subjects being cases (y = 1).β0 and β1 are the coefficients of intercept and SNP, respectively.
Another strategy recommended by these authors is the weighting of the responses based on the probability of subjects being at home where such information was available from prior studies.
Having a first-degree relative with diabetes, being older than 45 years and belonging to a middle socioeconomic level increased the probability of subjects seeing a doctor for glucose screening.
FGM is initiated at the age between 6 8 years, and beyond this age, the probability of subjecting a girl to FGM increased significantly, suggesting its persistence widespread practice among the study community.
This analytic approach assigns each subject a propensity score, defined as the probability of the subject receiving one of the treatments under consideration, as opposed to the other.
Specifically, ORG express the probability of a subject being diseased relative to probability of being free of disease, given that the diseased subject has a higher mutational load than the non-diseased.
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