Academic Profile

Dr. Anjana S

Assistant Professor

School of Mathematics & Statistics · University of Hyderabad

anjanas@uohyd.ac.in Room No # 19, School of Mathematics and Statistics, University of Hyderabad, Gachibowli, Hyderabad – 500046
0 Years of research
0 Publications
0 Students guided
0 Research areas
Focus

Research Interests

Dr. Anjana S is an Assistant Professor at the School of Mathematics and Statistics, University of Hyderabad. Her research centres on survival analysis and nonparametric inference for lifetime data, spanning competing risks, reliability theory and measurement error models.

Survival Analysis Nonparametric Inference Lifetime Data Analysis Competing Risks Reliability Theory Measurement Error Models
Qualifications

Education

  • 2016
    PhD in Statistics
    Cochin University of Science and Technology, Kerala
    Thesis: “Modelling and Analysis of Lifetime Data using Reversed Hazard Rates” — Supervisor: Prof. P. G. Sankaran
  • 2010
    MSc in Statistics
    Cochin University of Science and Technology, Kerala  ·  First Rank
  • 2008
    BSc in Mathematics
    Mahatma Gandhi University, Kerala
Career

Professional Experience

  • 2024 – Present
    Assistant Professor (Level 11)
    University of Hyderabad, Telangana
  • 2020 – 2024
    Assistant Professor (Level 10)
    University of Hyderabad, Telangana
  • 2017 – 2019
    National Postdoctoral Fellow
    Indian Statistical Institute, Chennai
  • 2017
    Postdoctoral Fellow
    Indian Statistical Institute, Chennai
  • 2015 – 2016
    Visiting Scientist
    Indian Statistical Institute, Delhi
Scholarship

Publications

Peer-reviewed articles on survival analysis, competing risks, U-statistics and measurement error models. Journal records per the author’s bibliography.

Published & accepted12
  1. 2026
    Cause-specific hazards model under covariate measurement error
    A. Jayanagasri & S. Anjana · Statistics and Computing 36(1), 54.
  2. 2025
  3. 2025
    Semiparametric analysis of competing risks data with missing causes of failure and covariate measurement error
    A. Jayanagasri & S. Anjana · Journal of Applied Statistics Accepted
  4. 2024
    Semiparametric analysis of competing risks data with covariate measurement error
    A. Jayanagasri & S. Anjana · Computational Statistics, pp. 1–32.
  5. 2023
    U-statistics for left truncated and right censored data
    K. K. Sudheesh, S. Anjana & M. Xie · Statistics 57(4), 900–917.
  6. 2019
    Test for independence between time to failure and cause of failure in competing risks with k causes
    S. Anjana, I. Dewan & K. K. Sudheesh · Journal of Nonparametric Statistics 31(2), 322–339.
  7. 2019
    Modelling and analysis of recall-based competing risks data
    S. Anjana & I. Dewan · Journal of Applied Statistics 46(9), 1621–1635.
  8. 2016
    Proportional cause-specific reversed hazards model
    P. G. Sankaran & S. Anjana · Journal of Nonparametric Statistics 28(1), 68–83.
  9. 2015
    Parametric analysis of lifetime data with multiple causes of failure using cause-specific reversed hazard rates
    S. Anjana & P. G. Sankaran · Calcutta Statistical Association Bulletin 67(3–4), 129–142.
  10. 2015
    A class of tests for the equality of cause-specific reversed hazard rates in competing risks models
    P. G. Sankaran & S. Anjana · Journal of the Indian Statistical Association 52, 161–176.
  11. 2014
    Additive reversed hazard rates models
    P. G. Sankaran, A. M. Variyath & S. Anjana · American Journal of Mathematical and Management Sciences 33(4), 315–329.
  12. 2014
    Modeling lifetime data with multiple causes using cause-specific reversed hazard rates
    P. G. Sankaran & S. Anjana · Statistica 74(3), 315–334.
Under revision1
  • 2026
    Linear transformation model for current status competing risks data with covariate measurement error
    A. Jayanagasri & S. Anjana Under revision
Work in progress1
  • —
    Nonparametric estimation of cumulative rate of recall in the analysis of recall-based time-to-event data
    S. Anjana, I. Dewan & K. K. Sudheesh In progress
Classroom

Courses Taught

10 MSc courses

  • Theory of Inference 1 & 2
  • Multivariate Analysis
  • Theory of Sampling
  • Regression Theory and Analysis
  • Reliability Theory and Survival Analysis
  • Survival Analysis
  • Analyzing Large Data with R
  • Statistics for All
  • Statistical Methods
  • Nonparametric Inference

1 BSc course

  • Introduction to Probability and Statistics

Software Skills

R RStudio Mathematica
Mentoring

Research Guidance

Doctoral, IMSc and MSc students supervised at the University of Hyderabad.

Level Student Research topic
PhD Akurathi Jayanagasri
PMRF Fellow — Thesis submitted Feb 2026
 Modelling and Analysis of Competing Risks Data with Covariate Measurement Error
IMSc Devika Menon Machine Learning Techniques for High Dimensional Survival Data
IMSc K. Sindhu Machine Learning Techniques for Competing Risk Analysis
IMSc Ch. Raja Vinesh Logistic Regression with Missing Covariates — Application on Breast Cancer Dataset
IMSc Malothu Akhia Regression Model for Categorical Data
MSc 16 students, 2021–2023
Various topics in Survival Analysis, Competing Risks, Time Series, and Data Science
 See detailed list below
MSc dissertations supervised — 16 students
2023
  • Samapti Guchhait — Measurement Error Model: Correct Likelihood Method for Competing Risk Survival Data
  • Tanvi Saroj — Credit Risk Modelling Using Survival Analysis
  • Saikat Kundu — Comparative Study on Parametric and Semiparametric Regression Models in Survival Analysis
  • Sreeranjini T M — Exchange Rate Volatility and Stock Prices in India: An Empirical Analysis
2022
  • Febin P Babu — Heterogeneity in Survival Data: The Proportional Hazards Frailty Models
  • Ganta Mounika — A Study on Measurement Error Models
  • Doma Pragna Sri — Nifty Index Prediction Using Time Series
  • Rohan Ranjan — Analysis of Mess Data in University of Hyderabad
  • Ganipi Aditya — Survival Analysis of Heart Failure Patients
  • Gampala Krishna Keerthi — Prediction of Crude Oil Prices: A Comparison of ARIMA and ANN Models
  • Adrita Paria — Wine Data Analysis – A Supervised Approach
2021
  • Kaustav Chakrabarty — Gradient Boosting
  • Basil E — Competing Risks in Survival Analysis
  • Muhammed Sabith P — U-Statistic Theory and Practice
  • Souptik Sarkar — Comparative Study on Different Discriminant Analysis Techniques on the Dataset of Multispectral Values of Pixels in 3×3 Neighborhoods in a Satellite Image (Sole Guide)
  • Debjyoti Debnath — Study of the Impacts of GDP Growth on CO2 Emission in India
Outreach

Selected Invited Talks

  • January 2026
    Jackknife Empirical Likelihood Ratio Test for Log Symmetric Distribution Using Probability Weighted Moments
    International Conference on Statistical Modeling, Simulation and Applications in Data Science, CUSAT
  • December 2024
    Semiparametric Analysis of Competing Risks Data with Covariate Measurement Error
    Annual Conference of International Indian Statistical Association, CUSAT
  • November 2024
    The Role of Statistics in Real Data Science Applications
    Value Added Course on Statistics for Data Science, G. Narayanamma Institute of Technology and Science, Hyderabad
  • December 2023
    U-Statistics for Right Censored and Left Truncated Data
    International Conference on Statistics, Probability, Data Science and Related Areas, CUSAT
  • March 2022
    Modelling and Analysis of Recall-Based Competing Risks Data
    24th Annual Conference of SSCA — Recent Advances in Statistical Theory and Applications (RASTA-2022), ICAR-NAARM
Recognition

Awards & Fellowships

  • 2017 National Post Doctoral Fellowship, SERB, Department of Science & Technology, Govt. of India
  • 2016 Prof. A. R. Kamath Best Thesis Award — Indian Society for Probability and Statistics
  • 2016 Visiting Scientist Post-Doctoral Fellowship, Indian Statistical Institute, Chennai
  • 2015 Visiting Scientist Post-Doctoral Fellowship, Indian Statistical Institute, Delhi
  • 2014 Dr. M. N. Gopalan Young Statistician Award — Indian Society for Probability and Statistics
  • 2011 INSPIRE Fellowship, Department of Science & Technology, Govt. of India
  • 2010 First Rank in MSc Degree Examination, Cochin University of Science and Technology
Engagement

Memberships & Administrative Roles

Memberships

  • International Indian Statistical Association — Lifetime Member
  • Indian Society for Probability and Statistics — Lifetime Member
  • Kerala Statistical Association — Lifetime Member

Administrative Roles

  • Internship Evaluation Committee (2025–26)
  • Purchase Committee (2025–27)
  • School-level Admission Committee (2020–25)
  • Grievance Committee (2021–23)
  • Coordinator, MSc & PhD Statistics (2022)
  • Mentor, MSc & IMSc Students (2022)