Co-variate analysis of tuberculosis data using Cox's regression model.
Venkatesan, P.; Vishwanathan, K.; Prabhakar, R.
Biomedicine; 1993; (2); 43-46.
A regression model which allows for analysis of censored survival data adjusting for continuous as well as discrete covariates and varying with time has been proposed by Cox. The hazard rate could be modelled as a function of both time and covariates and the hazard rate could be represented as the product of two terms, the funs representing an unadjusted force of mortality which can be estimated non-parametrically and the second adjusting for the linear combination of a particular covariate profile. In this paper an attempt is made to demonstrate the value of this model with pulmonary tuberculosis data in quantifying the effects of disease, demographic and treatment variables.
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