Stata 14.2 mp for linux

We compared survey responses by respondent characteristics as well as by their reported personal and programmatic social media use using the χ² test and Fisher’s exact tests. All analyses were performed using Stata 14.2/MP for Linux (College Station, TX). We used a two-sided α of 0.05 to indicate a statistically significant difference. Two coders independently analyzed responses to open-ended questions using NVivo (QSR International). Thematic codes were inductively identified based on the interview transcripts and were organized into themes and subthemes. The coders reconciled differences in the application of codes through discussion until reaching consensus.²⁴

To ensure proper risk adjustment, we adjusted each of the regression models for standard factors accounted for in the SRTR program specific reports. This included recipient factors—sex, age, race, body mass index (BMI), primary diagnosis, life support, hepatocellular carcinoma, non-hepatocellular carcinoma malignancy, hepatitis C virus, HIV status, diabetic, primary insurance, portal vein thrombosis, and split LT)—and donor factors—age, race, BMI, hepatitis C virus, donation after cardiac death, ABO compatibility, cold ischemia time. All analyses were two-tailed and α was set at 0.05. All analyses were performed using STATA 14.2/MP for Linux (College Station, Texas).

Groups of living multi-organ donors were compared with the Mann-Whitney rank-sum test (continuous variables) or chi-squared test (categorical variables). All-cause graft loss and mortality for recipients of living donor organs were estimated using the Kaplan-Meier method. Differences in recipient patient and graft survival were assessed using the log-rank test of equality. We used 2-sided alpha of 0.05 to indicate a statistically significant difference. All analyses were performed using STATA 14.2/MP for Linux (College Station, Texas).