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Chapter 1

Measuring disease occurrence

In this chapter, we'll cover the basics such as calculating incidence rates, prevalence, and mortality. We'll also explain the concept of age confounding and teach you what to do about it.
5 lessons
19m
Measuring disease occurrence intro
1m
Calculating incidence and prevalence
7m
Mastering mortality rates
7m
Identifying age as a confounding variable
3m
Controlling for age: stratification or adjustment
3m
Measuring disease occurrence quiz
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Chapter 2

Assessing the validity of diagnostic tests

Never blindly trust the findings of a diagnostic test—know what the results really mean and how reliable they are. This chapter will bring you up to speed on sensitivity, specificity, and predictive values.
5 lessons
16m
Assessing the validity of diagnostic tests intro
1m
Calculating sensitivity and specificity
5m
Navigating the intricacies of sensitivity and specificity
3m
Interpreting the predictive value—the role of prevalence
5m
Determining the predictive value—the effects of specificity
3m
Assessing the validity of diagnostic tests quiz
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Chapter 3

Expressing disease prognosis

Does an improvement in screening improve disease prognosis? This chapter will give you the answer. Learn how to interpret life tables, 5-year survival rates, and Kaplan-Meier curves.
6 lessons
26m
Expressing disease prognosis intro
1m
Mastering the basics
4m
Using life tables
7m
Adjusting for withdrawals in life tables
5m
Applying the Kaplan-Meier method
7m
Understanding the effects of stage migration
4m
Expressing disease prognosis quiz
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Chapter 4

Interpreting randomized trials

Randomized trials are the Holy Grail of clinical studies; it's necessary to understand them and interpret them correctly. In this chapter, we'll teach you how to read them with expertise.
5 lessons
20m
Interpreting randomized trials intro
1m
Mastering the basics
7m
Evaluating data collection methods
4m
Assessing power and errors
6m
Calculating sample size
3m
Interpreting randomized trials quiz
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Chapter 5

Measuring association

The association between a risk factor and disease is often expressed as the relative risk or the odds ratio. Learn how to calculate, interpret, and compare these two common measures.
4 lessons
16m
Measuring association intro
1m
Calculating relative risk
5m
Calculating the odds ratio
7m
Controlling for confounding
4m
Measuring association quiz
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Chapter 6

Interpreting cohort and case-control studies

Cohort and case-control studies are observational studies used to assess the association between disease and exposure: learn how these studies are designed and when to use them.
5 lessons
18m
Interpreting cohort and case-control studies intro
1m
Mastering the basics of cohort studies
5m
Comparing the types of cohort studies
4m
Mastering the basics of case-control studies
5m
Assessing control selection
5m
Interpreting cohort and case-control studies quiz
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Teachers of this course
Image of Franz Wiesbauer, MD MPH
Franz Wiesbauer, MD MPH
Franz is the founder and CEO of Medmastery. He is an internist with a specialization in cardiology and a master’s in public health from Johns Hopkins University.
Medmastery.com
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