Negera Wakgari Deresa

Negera Wakgari Deresa

I am passionate about using statistics and data science to address real-world challenges. My primary interest lies in developing and applying novel statistical methods to get reliable insights from complex data and support meaningful decision-making. Currently, I am working on indirect treatment comparisons and treatment switching analysis in the context of clinical trials, in collaboration with MSD (Merck) Pharmaceutical Company.

Interests
  • Clinical trials
  • Dependent censoring
  • Bayesian statistics
  • Drug discovery
  • Machine learning
  • Survival analysis
  • Meta analysis
Education
  • PhD in Statistics, 2020

    KU Leuven

  • MSc in Biostatistics, 2015

    Hasselt University

  • MSc in Statistics, 2013

    Addis Ababa University

  • BSc in Statistics, 2009

    University of Gondar

Sample Publications

(2024). Semiparametric transformation models for survival data with dependent censoring. Annals of the Institute of Statistical Mathematics.

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(2023). Copula based Cox proportional hazards models for dependent censoring. Journal of the American Statistical Association, 119, 1044–1054.

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(2022). A multivariate normal regression model for survival data subject to different types of dependent censoring. Insurance: Mathematics and Economics, 107, 1–21.

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(2021). On semiparametric modelling, estimation and inference for survival data subject to dependent censoring. Biometrika, 108, 965–979.

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(2019). A multivariate normal regression model for survival data subject to different types of dependent censoring. Computational Statistics and Data Analysis, 144, 106879.

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Software