UCLA STAT 13 (sections 1a, 1b & 1c) Fall 2002

Introduction to Statistical Methods for the Life and Health Sciences


UCLA Department of Statistics - STAT 13 - Statistical Methods for the Life and Health Sciences


Instructor:
Ivo D. Dinov, Ph.D.
Assistant Professor in Statistics,
Research Scientist, Department of Neurology,
UCLA School of Medicine
E-mail:
Teaching Assistants:
  • Tom Daula (section 1c, 1b) E-mail: daula@stat.ucla.edu and
  • Kaiding Zhu (section 1a) E-mail: kaiding@stat.ucla.edu



  • Textbook: Chance Encounters - A first Course in Data Analysis and Inference by Christopher Wild and George Seber (2000)
      Tentative schedule of topics to be covered
    1. Data Collection, Experiments, Observational Studies vs. Designed Experiments, Ch. 1
    2. Variables Graphical & Numerical Summaries, Ch. 2
    3. Probability & Independence, Ch. 4
    4. Discrete Random Variables, Binomial Dist, Expected Value, Variance, Ch. 5
    5. Bayes' Rule, supplement
    6. Continuous Random Variables, Normal Distribution, Ch. 6
    7. Inference, Means, Central Limit Theorem, Ch. 7
    8. Confidence Intervals, Ch. 8
    9. Hypothesis Testing, Ch. 9
    10. Z-test for mean, proportion, Ch. 10
    11. 2 independent samples, t-test, Ch. 7, 8, 9, 10
    12. Bivariate Data, Correlation, Ch. 3
    13. Regression, Ch. 12
    14. ANOVA, Chi-square, Ch. 11


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    Ivo D. Dinov, Ph.D., Departments of Statistics and Neurology, UCLA School of Medicine