Stata mp version 14.1 64 bit

We assessed SVR rates by age group, genotype, treatment regimen, and clinical subgroups. Multivariable logistic regression models were used to evaluate the association between age and SVR, adjusting for potential confounders (sex, race/ethnicity, history of alcohol use disorders, HCV genotype and subgenotype, HCV regimen, baseline HCV viral load, diabetes, treatment naive/experienced, cirrhosis, decompensated cirrhosis, HCC, liver transplantation, platelet count, and serum bilirubin and albumin levels). A significant proportion of patients (9%, N = 1603) had missing SVR data. To evaluate the impact of missing SVR, we compared baseline characteristics of patients with and without SVR data to determine whether there were significant differences that could bias our results. We also compared treatment durations of patients with and without SVR data to determine whether patients missing SVR were more likely to have early treatment discontinuation and thus lower likelihood of achieving SVR. Finally, we used multiple imputation to calculate missing SVR values using a logistic regression model with baseline characteristics shown in Table 1 and duration of treatment. Analyses were performed using Stata/MP, version 14.1 (64-bit) (StataCorp, College Station, Texas, USA).

SVR rates and their 95% confidence intervals were determined by W4VL and by subgroups defined by genotype, treatment regimen, prior treatment, cirrhosis and other clinically relevant characteristics. We used multivariable logistic regression to determine whether W4VL was a predictor of SVR after adjusting for the following baseline characteristics: type of HCV RNA assay, age, gender, race/ethnicity, genotype/subgenotype, baseline viral load, regimen, platelet count, serum bilirubin level, serum albumin level, alcohol use disorder, diabetes, cirrhosis, decompensated cirrhosis, HCC, liver transplantation and prior treatment. In addition, we adjusted for duration of treatment since the duration of treatment could have been shortened or extended by the treatment providers based on W4VL and we wanted to determine the association between W4VL and SVR among persons with equal duration of treatment.
Analyses were performed using Stata/MP version 14.1(64-bit) (StataCorp, College Station, TX).