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In order to identify independent contribution to variance in the presence or absence of a self-poisoning method of suicide, multivariate logistic regression was completed, including all pre-death variables with a p < .1 identified in the univariate analyses.
To determine whether starting strength determined change in strength during isolation, linear regression was completed between starting MVC/MVIF and change in MVC/MVIF throughout the 520-day isolation.
Statisical analysis (logistic regression) was completed using SPSS (version 22).
Logistic Regression was completed to predict the outcome variable of transfers to ongoing services.
OLS regression was completed with DM as the dependent variable and adjusting for obesity, physical inactivity, recreation, unemployment, education, households with no car and limited access to a store, and race.
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In the chick embryo, PS regression is completed around the 16-somite stage.
Bivariate analyses and logistic regression were completed to investigate ACSC and non-ACSC admissions among homeless patients using the 2010 California State Inpatient Database.
Meta-regression was completed using a random effects model.
Post hoc meta-regression was completed to explore the influence of (1) Age of participants at baseline, (2) Estimated hours of contact with the intervention, (3) Duration of follow-up in months and (4) Rates of attrition, on effectiveness of intervention.
Once the monthly regressions were completed, hourly data sets were obtained from EPA's AMPD for eight coal-fired units.
In both models, unadjusted longitudinal regressions were completed with demographic and clinical variables using residual maximum likelihood (REML).
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