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This book examines the survival analysis of credit§supported women businesses in Tanzania using various§survival models. The data set of women businesses in§Kagera region-Tanzania was analyzed by employing§survival models. The intention was to evaluate women§business risks that are typically culturally§oriented. The baseline hazard ratio was estimated.§It was found out that after receiving credits so as§to start businesses; women businesses in Kagera§region-Tanzania survive for 4.55 years on average.§The median of all businesses is exact 3.06 years. Cox§Models indicates that the chances of women businesses§survival increase if husbands and children are§supportive. However, children supported businesses§have children education trade off in the long run.§Also level of training and level of education before§credit provision has a positive impact on business§survival rate. Unfortunately working with children§had no statistically significant. The methods used§in estimating survival function are non-parametric§Univariant model of Kaplan Meyer (KM), parametric §(Weibull distribution), and semi parametric§multivariate models
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