Schedule
| Lectures | |||
| Thursday | 9:00 - 10:30 | K3 | |
| Exercise Class | |||
| Tuesday | 17:20 - 18:50 | K7 | (Instructor: Martin Otava) |
Course Materials
Progress of lectures
-
Thursday Feb. 20.
Introduction. Basic
epidemiologic terms. Left truncated data.
Course notes, Sec. 1.1-1.3, pp. 6-9.
Supplementary reading: Esteve, Benhamou, Raymond (Chap. 1, pp. 1-15).
-
Thursday Feb. 27.
Empirical incidence
estimates. Age-specific
incidence, age-standardized incidence, cumulative incidence.
Course notes, Sec. 1.4-1.5, pp. 10-14.
Supplementary reading: Esteve, Benhamou, Raymond (Chap. 2, pp. 49-62). BD1 (Sec. 2.1-2.3, pp. 42-53).
-
Wednesday Mar. 12.
Exposure-disease associations: Excess risk, relative risk. Introduction to epidemiological study design.
Course notes, Sec. 1.6-2.1, pp. 14-20.
Supplementary reading: BD1 (Sec. 2.4, pp. 53-59, Sec. 2.8 pp. 69-73).
-
Thursday Mar. 13.
Odds ratio
estimation and testing. Exact inference on
odds ratio via conditional likelihood. Confounding in
epidemiological studies.
Course notes, Sec. 2.2-2.4, pp. 20-24.
Supplementary reading: BD1 (Sec. 4.2, pp. 124-129, Sec. 4.3, pp. 129-136, Sec. 3.1-3.4, pp. 84-108).
-
Thursday March 20.
Sources of bias in
epidemiological studies.
Course notes, Sec. 2.5, pp. 25-28.
Supplementary reading: BD1 (Sec. 3.4, pp. 103-115).
-
Thursday March 27.
Analysis of
stratified case-control studies: classical methods. Logistic regression for
stratified case-control studies.
Course notes, Sec. 3.1-3.3, pp. 29-36.
Supplementary reading: BD1 (Sec. 4.4, pp. 136-146, Sec. 6.1-6.5, pp. 193-213).
-
Thursday Apr 3.
Analysis of
matched case-control studies: classical methods.
Course notes, Sec. 4.1-4.2, pp. 37-41.
Supplementary reading: BD1, (Sec. 5.2, pp. 164-166).
-
Thursday Apr 10.
Conditional
logistic regression for matched case-control studies.
Course notes, Sec. 4.3, pp. 41-43.
Supplementary reading: BD1, (Sec. 7.1-7.4, pp. 248-268).
-
Thursday Apr. 17.
Analysis of
cohort studies: ungrouped and grouped data. Presentation on
healthy adherer bias in influenza vaccine studies.
Course notes, Sec. 5.1-5.3, pp. 44-52.
Supplementary reading: BD2, (Chap. 5, pp. 178-197, Chap. 3, pp. 82–91, Chap. 4, pp. 120–171).
-
Thursday Apr. 24.
Discrete Cox
model. Drug development
process. Phases of clinical trials.
Course notes, Sec. 5.4, 6.1–6.4 pp. 53-63.
- Thursday May 15. Phase III trials: protocol, objectives.
Textbooks
- [EBR] Esteve J, Benhamou E, Raymond L. Statistical Methods in Cancer Research, Vol. IV: Descriptive Epidemiology. International Agency for Research on Cancer: Lyon, 1994.
- [BD1] Breslow NE, Day NE. Statistical Methods in Cancer Research, Vol. I: The analysis of case-control studies. International Agency for Research on Cancer: Lyon, 1980.
- [BD2] Breslow NE, Day NE. Statistical Methods in Cancer Research, Vol. II: The design and analysis of cohort studies. International Agency for Research on Cancer: Lyon, 1987.
- [FFD] Friedman LM, Furberg CD, DeMets DL. Fundamentals of Clinical Trials. 4th Ed., Springer: New York, 2010.
Course Plan
We will learn statistical methods used in medicine, especially in epidemiology and clinical trials. Terminology specific to medical applications will be explained and some specialized methods will be covered. We will review study designs used in medical studies (cohort study, case-control study, randomized controlled trial) and explain how to analyze each of them. Ethical and administrative aspects of human experiments and their impact on handling statistical issues will be discussed.
Prerequisites
This course assumes advanced knowledge of statistical theory and practice, especially linear regression, logistic regression, loglinear models, survival analysis. Master students of "Probability, statistics and econometrics" must have completed the course on Linear Regression (NMSA407), Advanced Regression Models (NMST432), and Censored Data Analysis (NMST531) before enrolling in this course.