Dorota Dabrowska

Dorota Maria Dabrowska is a Polish statistician known for applying nonparametric statistics and semiparametric models to counting processes and survival analysis. Dabrowska's estimator, from her paper "Kaplan–Meier estimate on the plane" (Annals of Statistics, 1988) is a widely used tool for bivariate survival under random censoring.[1]

Dorota Maria Dabrowska
Alma mater
Scientific career
FieldsStatistics
InstitutionsUniversity of California, Los Angeles
ThesisRank Tests for Independence for Bivariate Censored Data (1984)
Doctoral advisorKjell Doksum

Early life

Dąbrowska earned a master's degree in mathematics from the University of Warsaw. She completed her Ph.D. in statistics in 1984 at the University of California, Berkeley.[2] Her dissertation, supervised by Kjell Doksum, was Rank Tests for Independence for Bivariate Censored Data.[3]

Career

After completing her doctorate, she joined the faculty at the University of California, Los Angeles, where she is a professor of biostatistics and statistics.[2] At UCLA, she made fundamental contributions to the estimation and asymptotic theory in semi-Markov and Markov renewal models.[4]

As well as being a researcher in statistics, Dabrowska is also one of the translators of an influential 1923 paper on randomized experiments by Jerzy Neyman, originally written in Polish.[5]

Dabrowska is a Fellow of the Institute of Mathematical Statistics.[6]

References
  1. van der Laan, M. J. (July 1997), "Nonparametric estimators of the bivariate survival function under random censoring", Statistica Neerlandica, 51 (2): 178–200, doi:10.1111/1467-9574.00049, S2CID 247661653
  2. "Dorota M. Dabrowska", Faculty Directory, UCLA Fielding School of Public Health
  3. Dorota Dabrowska at the Mathematics Genealogy Project
  4. Dorota M. Dabrowska, Guo-wen Sun and Mary M. Horowitz (September 1994), "Cox Regression in a Markov Renewal Model: An Application to the Analysis of Bone Marrow Transplant Data", Journal of the American Statistical Association, 89 (427): 867–877, doi:10.2307/2290911, JSTOR 2290911
  5. Splawa-Neyman, Jerzy (November 1990), "On the Application of Probability Theory to Agricultural Experiments. Essay on Principles", Statistical Science, 5 (4): 465–472, doi:10.1214/ss/1177012031, JSTOR 2245382
  6. Honored Fellows, Institute of Mathematical Statistics, archived from the original on 2014-03-02, retrieved 2017-11-24
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