GOODNESS-OF-FIT CRITERIA IN A DOUBLY INFORMATIVE CENSORING MODEL

Authors

  • Dilshod Mansurov Author
  • Azizbek Oltiyev Author
  • Mohiniso Ro’ziqulova Author

DOI:

https://doi.org/10.47390/ydif-y2026v2i18/n02

Keywords:

Informative censoring, goodness-of-fit criteria, survival analysis, distribution function, variance, mathematical modeling.

Abstract

This paper examines goodness-of-fit criteria and survival analysis within the context of a doubly informative censoring model. The study employs mathematical-statistical methods to analyze the simplification of reconstruction formulas, the reduction of estimator variance, and the verification of model validity (goodness-of-fit) based on the times of patient entry into observation and departure from the clinic.

References

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2. Abdushukurov A. A. Nonparametric estimation of the survival function from censored data based on relative risk function // Commun. Statist. Theory Methods. — 1998. — V. 27, N. 8. — P. 1991–2012.

3. Csörgő S. Testing for the proportional hazards model of random censorship // Proc. Fourth Prague Symp. Asymptotic Statist. — Prague: Charles Univ. Press, 1989. — P. 41–53.

4. Julià O., Gómez G. Simultaneous marginal survival estimators when doubly censored data is present // Lifetime Data Anal. — 2011. — V. 17, N. 3. — P. 347–372.

5. Mansurov D. R., Bozorov S. B., Oltiyev A. B. Closed-form estimation of the exponential scale under two-sided informative random censorship. — 2026. — arXiv:2609.12601 [math.ST].

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Published

2026-09-28

How to Cite

Mansurov , D., Oltiyev , A., & Ro’ziqulova , M. (2026). GOODNESS-OF-FIT CRITERIA IN A DOUBLY INFORMATIVE CENSORING MODEL. SCIENCE OF THE NEW ERA: INNOVATIVE IDEAS AND SOLUTIONS FOR HUMANITY, 2(18), 11-14. https://doi.org/10.47390/ydif-y2026v2i18/n02