An Overview of Non Parametric Model in
Tuberculosis Data

Dhivya Devi .S; Ravanan. R

doi:https://doi.org/10.14445/22315373/IJMTT-V56P555

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 56 | Number 6 | Year 2018 | Article Id. IJMTT-V56P555 | DOI : https://doi.org/10.14445/22315373/IJMTT-V56P555

An Overview of Non Parametric Model in Tuberculosis Data

Dhivya Devi .S, Ravanan. R

Abstract

The objective of this paper to assess whether there is any difference in the sputum conversion with respect to the covariates age, types of regimen. The event of interest is the sputum conversion during the treatments periods, i.e sputum at the base line is positive, and then turns to negative during the treatment period. The covariates considered in the study areAge of the subject, Weight of the subject at baseline, Regimen, Pre-treatment drug susceptibility pattern.

Keywords

Kaplan Meier Estimator, Kaplan Meier curve, Life table analysis

References

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3. Collett,D. (1994) Modelling Survival data in medical research. Chapman and Hall, London.
4. Cox, D.R and oakes,D.(1984) Analysing of survival data. Chapman and Hall, London.
5. Marubini,. And oalsecchi, M.G. (1995) Analysing survival data from clinical trials and observational.

Citation :

Dhivya Devi .S, Ravanan. R, "An Overview of Non Parametric Model in Tuberculosis Data," International Journal of Mathematics Trends and Technology (IJMTT), vol. 56, no. 6, pp. 413-418, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V56P555