Basic Biostatistics

Instructor
  • Donatello Telesca
  • Office location: PUB HLT 21-254B
  • Office Hours:    T - 2:00P,  F - 12:00P 
  • dtelesca(at)ucla(dot)edu
Teacing Assistant
  • Daniel Conn
  • djconn17(at)gmail(dot)com

  • Lecture:       MWF   11:00A  -  11:50A   PUB HLT 41-268
  • Discussion:  M          2:00P  -   2:50P   PUB HLT 51-279
  • Lab:             R        11:00A  -  11:50A   PUB HLT A1241
Course Material
Textbooks
  • Fundamentals of Biostatistics by Bernard Rosner (Required)
  • Introductory Statistics with R by Peter Dalgaard (Optional) [available online from UCLA library]
  • A First Course in Bayesian Statistical Methods by Peter Hoff (Optional) [available online from UCLA library] 

Lectures
  • (01/07)  Introduction - Intro to ANOVA (Notes + Rosner Ch. 12)
  • (01/09)  ANOVA tests, tables and sampling theory (Notes Ch 2 + Rosner Ch. 12)
  • (01/11)  ANOVA contrasts and multiplicity + Intro to 2-way ANOVA (Notes Ch 2 + Rosner Ch. 12)
  • (01/14)  Two-way ANOVA - main effects Vs. interactions Models (Notes Ch 3 + Rosner Ch 12)
  • (01/16)  Introduction to Linear Regression  
  • (01/18)  Rudiments of multivariate analysis 
  • (01/21)  Holiday (MLK)
  • (01/23)  Anova for Simple Linear Regression and Introduction to Linear Models
  • (01/25)  Linear Models (Introduction)
  • (01/28)  Linear Models (Sampling Theory)
  • (01/30)  Linear Models Vs. ANOVA (Dummy variables)
  • (02/01)  Introduction to model determination, confounding and model adequacy
  • (02/04)  Model checking and informal discussion of model selection in predictive models
  • (02/06)  Intro to discrete data analysis. Proportions and continuity adjustments. 
  • (02/08)  Midterm Q/A
  • (02/11)  MIDTERM EXAM
  • (02/13)  Paired Binary Data and McNeimar's Test
  • (02/15)  Sampling Theory for Paired Binary Data, Exact McNeimar, RxC contingency tables
  • (02/18)  Holiday (President's Day)
  • (02/20)  Review of Midterm solutions
  • (02/22)  Pearson's Chi squared and Fisher's exact test
  • (02/25)  Class Cancelled
  • (02/27)  Review of Binary and categorical data analysis
  • (03/01)  Introduction to Logistic Regression
  • (03/04)  Introduction to count data and the Poisson process  
  • (03/06)  Estimation and tests for count data
  • (03/08)  Poisson Examples + Intro to Bayes I
  • (03/11)  Intro to Bayes II (Condensed Slides  + Hoff Ch. 3)
  • (03/13)  Statistical simulation techniques
  • (03/15)  Final Review (Sample Final 2011, Sample Final 2012)
  • (03/19)  FINAL EXAM 


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