A large number of excellent biostatistical papers are available as Supercourse lectures. An entire course by M Zelen, zelen@hsph.harvard.edu is available. involving epidemiology. It contains:

     1. Introduction  (1 lecture)

     2. Elements of  Laplace transforms. (1)

     3. Relations between incidence, prevalence and time with disease.   

     4. Poisson processes

    Exponential distribution normalized spacings, Campbell’s theorem, random sums of exponential random variables, counting processes and the exponential distribution, superposition of counting processes, splitting and component processes, non – homogeneous Poisson processes.(2)

      5. Renewal processes

     Definitions, asymptotics, renewal function, equilibrium renewal processes

       6. Birth and death processes

     Pure birth processes (Yule-Furry process), generalization to birth and death processes, relationship to Markov chains, linear birth and death processes.See Feller (1960).

       7. Markov chains

    Introduction, Chapman-Kolmogorov equations, branching processes, statistical equilibrium, classification of states. See Feller again.

        8. Semi-Markov processes (3)

     Master equations, moments, first passage time problems.  

This course also contains:

     1.  Examples and Elements of Theory

     2.  Logistic Regression

     3.  Independence and Urn Sampling

     4.  Correlated Outcomes 

     5.  Proportional Hazards Models and Urn sampling  

     6.  Multiple Logistic Regression

     7.  Multivariate problems

     8.  Polychotomous Regression

Be certain to go through the large free program EPI by NIH.