Schedule

Course Calendar

The topics that we will cover 4 broad units:

  • Measurement: Quantifying the amount and distribution of disease and disease burden
    • Weeks 2-4
    • Topics: measuring disease, direct and indirect standardization, measuring life expectancy and survival
  • Study designs and causal inference: The planning and conduct of studies to identify risk factors and causes of disease
    • Weeks 5-10
    • Topics: cohort and case-control studies, confounding and causation, randomized controlled trials
  • Statistical thinking: Quantifying uncertainty in study results and assessing bias
    • Weeks 11-13
    • Topics: sampling error and confidence intervals, hypothesis testing, biases and measurement error
  • Disease screening: Evaluating tools and practices for early detection of disease
    • Week 14

Videos that I will ask you to watch before class can be found in this YouTube playlist. Look at the schedule table below to navigate to the pre-class video to watch before Tuesday’s class. Use the Guiding Questions at the bottom of this page to guide your focus.

Week Tuesday Thursday Announcements
1 1/18: Welcome to Epidemiology!
2 1/23: Measuring disease (part 1)
Pre-class video: Measuring disease: morbidity (slides)
1/25: Measuring disease (part 2)
3 1/30: Direct and indirect standardization (part 1)
Pre-class video: Measuring disease: mortality (slides)
2/1: Direct and indirect standardization (part 2) Homework 1 due Monday 2/5 at midnight
4 2/6: Measuring life expectancy and survival (part 1)
Pre-class video: Life expectancy and related measures (slides)
2/8: Measuring life expectancy and survival (part 2)
We will wrap up our Measurement unit with Mini-Project 1 (to be worked on in groups during class and turned in at the end of class).
5 2/13: Cohort studies (part 1)
Pre-class video: Cohort studies (slides)
2/15: Cohort studies (part 2)
Before class read the following sections of the paper Association of Stillbirth With Ambient Air Pollution in a California Cohort Study: Abstract (summary paragraph at beginning), Introduction, Methods, Discussion.
Homework 2 due Monday 2/19 at midnight.
Schedule Content Conversation 1 (15 minutes) for next week (2/21-2/28) via Calendly.
6 2/20: Case-control studies (part 1)
Pre-class video: Case-control studies (slides)
2/22: Case-control studies (part 2) Content Conversation 1 (15 minutes) will be taking place this week.
7 2/27: Confounding and causation (part 1)
Pre-class video and slides: Available on Moodle
2/29: MSCS Capstone Days! No class but please attend talks! Content Conversation 1 (15 minutes) will be taking place this week.
8 3/5: Confounding and causation (part 2)
Before class please read The Birth Weight "Paradox" Uncovered?
3/7: Confounding and causation (part 3) Homework 3 due FRIDAY 3/8 at midnight.
9 3/9-3/17: Spring Break!
10 3/19: Randomized controlled trials
Pre-class video: Randomized controlled trials (slides)
3/21: Mini-Project 2
We will wrap up our Study Designs and Causal Inference unit with Mini-Project 2 (to be worked on in groups during class and turned in at the end of class).
11 3/26: Logistic regression
No pre-class video or reading. Content will be covered in class.
3/28: Pause and reflect
A day for community and connection
12 4/2: Statistical inference
No pre-class video or reading. Content will be covered in class.
4/4: Biases and measurement error
No pre-class video or reading. Content will be covered in class.
Homework 4 and Project Milestone 1 due Monday 4/8 at midnight.
13 4/9: Disease screening (part 1)
Pre-class video: Disease screening: biases (slides)
4/11: Disease screening (part 2) Homework 5 due Monday 4/15 at midnight.
Schedule Content Conversation 2 (20 minutes) for the week of 4/22-4/26 via Calendly.
14 4/16: Project work time 4/18: Project work time Schedule Content Conversation 2 (20 minutes) for next week (4/22-4/26) via Calendly.
15 4/23: Project work time 4/25: Project work time Content Conversation 2 (20 minutes) will be taking place this week.
16 4/30-5/4: Reading period and finals

Guiding Questions

Measuring disease: morbidity

  • What is the difference between a rate and a proportion?
  • What is the difference between disease risk and burden?
  • Why is prevalence not a measure of the risk for getting disease?
  • What is the difference between prevalence and incidence?
  • Describe how the prevalence of a disease is affected by incidence and typical duration of disease.


Measuring disease: mortality

  • Explain the difference between a mortality rate and a case-fatality rate.
  • If proportionate mortality due to a disease increases from one year to the next, does that mean that risk of death from that disease has increased? Why or why not?
  • Why could it be misleading to compare crude mortality rates between populations?
  • Describe the rationale behind the direct standardization technique.


Cohort studies

  • What is the rationale for how cohort studies help us study the link between exposures and disease outcomes?
  • Briefly describe the difference between measuring the strength of association between exposure and disease versus impact of exposure on disease risk.


Case-control studies

  • Why might one prefer to conduct a case-control study over a cohort study?
  • Why do we use the odds ratio as a measure of association in case-control studies, rather than a relative risk?


Confounding and causation

  • How do we check to see whether a variable confounds the relationship between an exposure and an outcome?
  • Why should we not adjust for mediators in a causal pathway between an exposure and an outcome?


Randomized controlled trials

  • How does randomization work to control known and unknown confounding?
  • Why is blinding crucial in a randomized trial?


Disease screening

  • Describe how lead time bias can result in an overestimation of the benefits of screening.
  • Describe how length bias can result in an overestimation of the benefits of screening.