With the dispatch of about 50,000 logistic personnel to Vietnam after February 1965, factional lines began to divide the military forces according to ideological or national security preferences.
Binary logistic analysis (forced entry method) was performed with SPSS software (IBM SPSS statistics, version 20).
We performed a multivariable analysis of factors associated with SW by means of a logistic regression, forcing both sedation and weaning protocols in the final model.
The items BVC, "Segregation" and "Physicians prediction" items were selected for subsequent multiple logistic regression forced-entry analyses (Table 1).
Multiple logistic regression forced-entries were performed to examine the extent of the predictor variables' associations with SOAS-R incidents.
A multiple logistic regression forced-entry analysis was performed on SOAS-R as outcome variable and the five predictors: BVC, "Physicians prediction", "Segregation", and diagnosis of schizophrenia or substance abuse.
Furthermore, a logistic regression (forced entry/enter method) was performed to examine if pain intensity, localization or frequency had an impact of whether spinal pain affected an adolescent's daily life (coding 0 = no consequences, 1 = consequences).
Second, to assess the impact of a more crude assessment of population change, we ran separate logistic regressions forcing in dichotomous variables for population change (none or negative vs positive) and rural character (less than 100 persons mi−2 vs equal to or more than 100 persons mi−2, and for three categories with cutpoints of 100 and 500 persons mi−2 respectively).
The alternative is the Force Logistic Support Group Concept, in which one nation coordinates logistics but draws on the resources of other nations.
Thereafter, multivariate logistic regression analyses (forced entry method) were utilised to assess the independent effect of variables that were statistically significant in the univariate analyses.
