Course: Methods in Biostatistics I
Schedule
Session  Topic  Activites 

1 
Set Theory Basics and Probability 1. Cover syllabus 
Read Rosner Chapt 1 
2 
Introduction to Probability 1. Define probability calculus 
Read Rosner 3.13.5, 4.14.3, and 5.15.2 
3 
Expected Values 1. Define expected values 
Read Rosner 4.44.5 and 4.9 
4 
Random Vectors, Independence 1. Define random vectors 
Read Rosner 3.4 
5 
Conditional Probabilities, Baye's Rule 1. Define conditional probabilites 
Read Rosner 3.63.9 
6 
Likelihood 1. Define likelihood 

7 
Distributions 1. Define the Bernoulli distrubtion 
Read Rosner 4.8, 4.9, and 5.15.6 
8 
Asymptotics 1. Define convergent series 
Read Rosner 6.1, 6.2, and 6.5 
9 
Confidence Intervals 1. Define the Chisquared and t distributions 
Read Rosner 6.7 and 6.8 
10 
Confidence Intervals 1. Introduce independent group t confidence intervals 
Read Rosner 8.3 and 8.5 
11 
Presentation of Data 1. Histograms 
Read Rosner Chapter 2 
12 
Bootstrapping 1. Introduce the bootstrap principle 

13 
Confidence Intervals for Binomial Proportions 1. Confidence intervals for binomial proportions 
Read Rosner 6.8 
14 
Logs and Geometric Means 1. Review about logs 