Sas 9.12 for windows

Questionnaires were entered twice independently using EpiData software (EpiData Version 3.1, EpiData Association Odense, Denmark). After cleaning, we analyzed the data by Statistical Analysis System (SAS 9.12 for Windows; SAS Institute Inc., NC, USA). All of the included participants were characterized by living site with respect to age, marriage status, ethnicity, education record, age at the first homosexual act, ever having sex with women, self-reported sexual orientation, and whether anal sex a regular sex behavior. Differences between sites in these variables were compared using Pearson’s chi-square test. Changes of HPV knowledge from baseline to post-test by condition were assessed by a mixed design analysis of variance. To estimate the willingness-to-pay of the HPV vaccine, we excluded those who refused to take vaccinate and those who would vaccinate only when the vaccine is provided for free, assuming that lower bound of willingness-to-pay cannot be less than zero. Then an interval regression model was fit to the intervals of the true willingness-to-pay using Proc Lifereg procedure in SAS 9.12.

Data for questionnaire responses, physical examinations, and laboratory tests were entered independently by two study staff and verified with EpiData software (EpiData 3.1 for Windows, The EpiData Association Odense, Denmark). After cleaning, the data were then converted and analyzed using Statistical Analysis System (SAS 9.12 for Windows; SAS Institute Inc., NC, USA).
Descriptive analyses were performed to compare socio-demographic characteristics, and sexual and drug use behaviors between HIV-infected and uninfected participants. Pearson’s chi-square test and Student’s t-test were used to compare differences between HIV-infected and uninfected participants for categorical and continuous variables, respectively.
Unconditional logistic regression models were used to evaluate the association between each variable and anal HPV infection. Multivariable logistic regression was employed to determine predictors of anal HPV infection. All variables with p-values < 0.1 in univariate analyses were entered into the multivariate logistic model. Crude odds ratios (OR) and adjusted odds ratios (adjusted OR) were calculated, as appropriate along with 95% confidence intervals (CI).