• Mendel's Laws of Genetics
  • The chromosome theory of heredity
  • Linkage and genetic recombination
  • From genes to geotype
• Population Genetics
  • Genetic Variability
  • Assessing the genetic diversity of populations
  • Main evolutionary forces
  • Applications of population genetics

• This lecture will review basic concepts in Epidemiology, including measures of disease frequency, study designs, and measures of association. We will also discuss principles of causal inference including recognizing and controlling for bias and confounding and detecting interactions. Examples from genetic epidemiology will be presented and attendants will be asked to read and discuss an article from this field.

Review of Biostatistics
Instructors: Nathalie Malo
Time: 13:00 – 17:00
Place: Room 2

• The lecture will review concepts in probability and statistics. Topics will include sample space and event, union and intersection, conditional probability and independence, Bayes’ Theorem, common probability distributions, and the concept of likelihood. Statistical inference methods will be discussed, including maximum likelihood estimation, confidence intervals, and hypothesis testing (large sample tests, exact and permutation tests).
• The related computer lab will illustrate the use of some of these biostatistical tools using the R software. Attendants will also be given practice exercises with R.