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In the longitudinal logistic model, the individual patient was defined as panel variable.
Random effects logit model on panel data with patient identity as panel variable.
We also analyzed the entire cohort to utilize the clustered binary outcome of persistence, by using the 'visit number' as panel variable in logistic GEE models.
We used descriptive statistics as well as a random effects logit model with patient identity as a panel variable to assess associations.
This approach meant that it was necessary to account for within-person correlation, so a random-effects time-series regression model with patient ID as a panel variable was used (xtreg command in Stata V.8.0).
This procedure treats each participant as a unit and each subsequent trial as time and thus the dataset as a sequence of related observations from several units (participants) identified by the panel variable.
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Patient demographic and clinical data were recorded, including length of hospital stay, length of ICU stay, number of surgical operations, complete blood count variables, and blood chemistry panel variables.
We did not find significant correlations between admission CFD levels and length of hospital stay, length of ICU stay, number of surgical operations, complete blood count variables, and blood chemistry panel variables.
(Bi ) Circuit elements combining the IFF and IFB motifs described in panel A. Variable x represents the stimulus intensity, u, the activity or concentration of the intermediate variable and y, the firing rate of the OSN.
Top-down fiscal policy measures: fixed effect panel instrumental variables (the fiscal policy variable is instrumented with its own lag, the lagged output gap, and the lagged government debt/GDP ratio).
The panel has variable degrees of freedom, which enables convergence to be readily assessed.
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