Dagmar Hajducek
Statistician
Dagmar Hajducek
Statistics PhD - University of Waterloo
Waterloo, ON. Canada
About
Eigh years of research and applied experience in statistical methods for longitudinal complex survey data. Two year experience with the International Tobacco Control (ITC) Policy Evaluation Project. Demonstrated ability to work independently and collaborate in interdisciplinary teams. Proficiency in programming and statistical software (R,LaTex,SAS,SUDAAN,STATA). Fluent in English and Spanish.
Experience
Postdoctoral Fellow
MITACS and International Tobacco Control Project (ITC)
  • Collaborated in the development of sampling weight adjustment methods based on propensity scores for dual mode or dual frame surveys (e.g. telephone vs. web).
  • Implemented multilevel modelling techniques for multi-country comparisons of smokers' responses and behaviours (e.g., regret and effectiveness of warning labels in cigarette packages).
  • Contributed to the implementation of graphical tools for ranking countries based on logistic models.
  • Implemented Generalized Estimating Equation techniques to analyze changes in attitudes and behaviour in smokers from Uruguay.
Consultant Statistician
University of Waterloo - Statistics and Actuarial Sciences
  • Provided statistical advice to graduate students and faculty from biology, health sciences, psychology, engineering and management sciences on analyzing data from observational and experimental studies.
  • Applied statistical methods for longitudinal and experimental data analysis.
  • Provided assistance with statistical computing in R and SAS.
Lecturer
University of Waterloo - Statistics and Actuarial Sciences
  • Statistics for Non-Specialists.
Researcher
Social Survey Methods Division - Statistics Canada
  • Development of statistical methods for the application of survival methodology on survey data and the analysis of jobless spells from the Statistics Canada's Survey of Labour and Income Dynamics (SLID).
Education
University of Waterloo
PhD, Statistics
  • Analysis of duration data from longitudinal surveys subject to loss to follow-up.
University of Guanajuato, Mexico
MSc, Statistics
  • At the Research Centre in Mathematics (CIMAT in Spanish) in Guanajuato, Mexico.
Universidad Iberoamericana, Mexico
BSc, Industrial Engineering
  • BSc, Industrial Engineering
Skills
Industry Knowledge
Tools & Technologies
Other
dagmar@hajducek.ca
https://www.linkedin.com/in/dagmar-m-hajducek-36a8bb33/