CD4 and tuberculosis: Table 4 indicates the separate or joint marginal models for CD4 cell count change and TB status using Poisson and binary logistic regression. As indicated in the Table 4, time to visit, weight, initial CD4 cell count, serum hemoglobin concentration, education level, religion, marital status, occupation and age of patients significantly affected CD4 cell count change.