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Dr. Anisha Pulinchani

HomeDr. Anisha Pulinchani
HomeDr. Anisha Pulinchani
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Dr. Anisha Pulinchani

Designation: Scientist-C

Division:Bioinformatics and Data Management

Educational qualifications: M.Sc., Ph.D. (Statistics)

Date of joining ICMR-NIV: :13th February 2023

  • Contact: +91-: 020-26006960
  • Email:p.anisha@icmr.gov.in
  • Office: Indian Council of Medical Research-National Institute of Virology Pune Maharashtra - 411001

 

Research Interests:

  • Biostatistics
  • Survival Analysis
  • Reliability Theory
  • Predictive Modelling

 

Awards/Honours:

  • Dr. M. N. Gopalan Prize in ISPS Young Statistician Award Competition in 2010, conducted by Indian Society for Probability and Statistics, for the paper entitled “A Frailty model with Competing Risks” at Dept of Statistics, University of Jammu, Jammu, India.
  • Dr. R. N. Pillai Young Statistician Award for the Student Paper Presentation Competition in 2010, conducted by Kerala Statistical Association, for the paper entitled “Semi-parametric regression models for recurrent event data with multiple causes” at Nirmala College, Kerala, India.

 

ORCID ID:0000-0002-9640-5066

Researcher ID:

Google Scholar Profile Link

 

List of Publications
  • 1. Karuna M Das, Usama M AlBastaki, Anisha Pulinchani, Huthaifa M Ali, Taleb Al Mansoori, Klaus V Gorkom, Hany Dewedar (2022). Significance of Cardiac magnetic resonance feature tracking of right ventricle in predicting sub-clinical dysfunction in patients with thalassemia major. Diagnostics. 22. (Published Online).

  • 2.  Litty Mathew, Anisha P. and Sudheesh K. Kattumannil (2022). A Jack-knife Empirical Likelihood Ratio Test for Strong Mean Inactivity Time order. Statistics and Probability Letters. 190. (Published Online).

  •  3.  Karuna M Das, Jamal Aldeen AlKoteesh, Usama MH AlBastaki, Rajvir Singh, Abbey J Winant, Anisha P, Taleb Al Mansoori, Klaus V Gorkom, Edward Y Lee (2022). Serum LDH: a potential surrogate to chest radiograph in pediatric Covid-19 patients to reduce radiation exposure. Egyptian Journal of Radiology. 53, Article number 130.

  •  4.  Karuna M Das, Taleb Al Mansoori, Yousef Habeeb Alattar, Klaus V Gorkom, Ali Shamisi, Anisha Melethil Pulinchani, Jamal Aldeen AlKoteesh (2022). Tuberculosis of heart: a diagnostic challenge. Tomography. 8(4), 1649-1665.

  • 5. K. K. Sudheesh and P. Anisha (2019). A simple non-parametric test for decreasing mean time to failure. Statistical Papers. 60(1),73 - 87.

  • 6. K. K. Sudheesh, P. Anisha and C.M. Deemat (2015). A simple approach for testing constant failure rate against different ageing classes for discrete data. Statistical Methodology, 25, 74 - 88.

  • 7. Isha Dewan, Sudheesh, K. K. and Anisha, P. (2014). Proportional hazards model for discrete data: Some new developments. Communication in Statistics - Theory and Methods.45(21), 6481-6493.

  • 8.  Isha Dewan, Sankaran, P. G. and Anisha, P. (2013). On testing independence of failure time and cause of failure using sub-quantiles. Journal of Statistical Theory and Practice. 7(1), 24-32.

  • 9. Sankaran, P. G., Manoharan, M. and Anisha, P. (2012b). Nonparametric estimators of survivor function of paired recurrent events. Statistical Methodology. 9(4), 501-512.

  • 10. Sankaran, P. G. and Anisha, P. (2012a). Additive hazards models for gap time data with multiple causes. Statistics and Probability Letters. 82(7), 1454-1462.

  • 11. Sankaran, P. G. and Anisha, P. (2011). Shared frailty model for recurrent event data with multiple causes. Journal of Applied Statistics, 38(12), 2859 - 2868.

  • 12. Anisha, P. (2010). Semiparametric regression model for recurrent event data with multiple causes. Journal of the Kerala Statistical Association. 21, 1-18.

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