In forward stepwise regression analysis with mammography detection as the outcome of interest, order of entry into the model by significance to the outcome was 1) TNM stage, 2) patient age, 3) diagnosis year, and 4) patient race.
Listed in order of entry, the model implied elevation above or below stock water, horizontal distance to stock water, forage CP content, and degree of slope were the site specific attributes most associated with cattle distribution.
The significance of each variable was considered at the time of entry into the model (p value <0.05).
Compared to BALB/c mice, C57BL/6 mice are less susceptible to B. pseudomallei infection, regardless of the portal of entry, thus validating the model of differential susceptibility for various routes of infection (Table).
Here, time is in days with time = 0 being the time of entry into the model at age 15, so that time specific incidence can be rescaled to represent age specific incidence.
Stochastic level of entry into the model will be set at 0.10, with age, gender, and smoking groups forced to entry, and multicollinearity, interactions with time to event and higher-power terms will be explored for all variables in the final model.
Initially, in the first model, we considered a level of 0.20 for entry into the model and a level of 0.05 to retain the variable in the model.
This was necessary to avoid an artificially high R2 due to forced entry in the model of highly correlated factors.
When the order of variable entry into the model was reversed (age, gender, education, and depression entered in Step 1 and peak VO2 entered in Step 2), peak VO2 remained a significant predictor of FA in four of the five ROIs, accounting for an additional 20 26% of the variance over and above age, gender, education, and depression score (Table S3).
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