Epidata entry version 3.1

The data was entered in EpiData Entry (version 3.1) and then transferred to Stata 12.1 (Stata Corp., College Station, TX, USA) software for statistical analysis. Frequency and percentages are presented for categorical data. A generalized linear regression model (GLM) was used to examine the association of independent risk factors responsible for LCBIs. The independent risk factors were compared between neonates with and without LCBIs (binary outcome variable). The adjusted relative risk (RR) of LCBIs was calculated using multivariate predicted marginal proportions for logistic regression models and included the following independent variables as covariates: sex—male versus female; gestational age—preterm versus term; duration of NICU stay—more than 14 days versus less than 14 days; chorioamnionitis in mother—yes versus no; a history of premature rupture of membranes in the mother—yes versus no; meconium-stained liquor—yes versus no; malpresentation—yes versus no; birth asphyxia—yes versus no; endotracheal intubation—yes versus no; umbilical catheterization—yes versus no; VAP—yes versus no; and minimal enteral nutrition—yes versus no. The means along with the associated 95% confidence intervals (CI) and p values were reported from GLMs. A p value less than or equal to 0.05 was considered significant.

The data collected were entered into Epi Data Entry version 3.1 and exported to Stata version 12.0 for cleaning and analyses. Descriptive statistics such as frequencies, percentages, tables and charts were used to present the data. Logistic regression was also used to test associations between socio-demographic variables and KAPs of respondents regarding HIV/AIDS at the significance level of 0.05.

Data were entered and analyzed using Epidata Entry version 3.1 and STATA version 11.2, and expressed in a descriptive analysis. Categorical variables were compared using Chi-square test or fisher exact test, p values of < 0.05 was considered significant.