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The nature of the outcome value does not enable a straight-forward application of Heckman's two-step procedure due to the non-linearity of the conditional mean in the second estimation step [31].
Measures of the outcome value at baseline will be included in the regression analysis as a covariable.
This model would indicate the change in the 75th percentile of the outcome value associated with each unit change in a predictor variable.
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The rules are then extracted and pruned to define the outcome as low, medium, and high which correspond to the initially defined three quantiles of the outcome values.
Linear and logistic models were used to examine the effect of the intervention on each of the outcome values.
Approximately two third of cases (64.3%) had missing data for at least one time point; in total 24.7% of the outcome values were missing.
The upper horizontal dash-dotted line represents the threshold value of the latent outcome value of the latent outcome above which respondents intend to leave their job at 65 or after.
The present review focuses on the following three respects for the study design: definitions of outcome, value of specificity and time points of blood sampling.
Values greater than one indicate an increase in the odds of the outcome, while values less than one indicate a decrease in the odds of that outcome.
In addition, given the discrete nature of the data, a 2 × g table (where g is the number of outcome values) representing the entire body of data can easily be presented, at least when the number of outcome values is small.
Other types of networks, however, may allow for similar approaches as the ranges of outcome values of, e.g., L and C, are bounded; see for instance the scale-free networks in Klemm and Eguíluz [48].
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CEO of Professional Science Editing for Scientists @ prosciediting.com