Multivariable analyses revealed that the constructs Instructional Design, Web Usability and Course Usefulness item sets were better predictors of satisfaction with web-based training than Computer Proficiency or demographics.
S-PLUS 2000 (Release 2) software package (Insightful Corp ,Seattle, Washington, USA) with supplemental libraries (Hmisc, Design) was used for multivariable analyses.
Analysis of the case-control study used conditional logistic regression methods using maximum likelihood estimation for both univariable and multivariable analyses, which take into account the matched design.
Final multivariable analyses were conducted using STATA to ensure control of the study design effects, proper analysis of the five imputed datasets and correct estimates of standard errors [29], [30], [31].
We conducted univariable, bivariable, and multivariable analyses using statistical techniques that account for the complex survey sampling design, using Stata 12.0, and following NCHS guidelines (CDC 2012b).
Univariable, bivariate and appropriately weighted multivariable analyses were conducted in a fashion that reflects the complex survey sampling design, using Stata 13.0 (College Station, TX) survey ('svy') commands.
We used SUDAAN (version 9.0.1; Research Triangle Institute, Research Triangle Park, NC) for all statistical analyses to account for the complex sampling design of the MEPS; the α level was set at 0.05 for all multivariable analyses.
In multivariable analyses, we used 4 models.
The same was true for unpaired and multivariable analyses.
Univariable and multivariable analyses were performed to determine factors contributing to insomnia among individuals with TTH.
