Lectures 24 and 25: Statistics; Making Sense of Uncertainty
After this lecture, you should be able to answer the following:
1. What is "statistics?" What is the role of "statistics" in Public Health?
2. Discuss the uncertainty of science using the example of the NCI's recommendation that women aged 40-49 should have regular mammograms. Do the risks outweigh the benefits?
3. How do scientists quantify uncertainty? What is probability? What is the p value? What is the 'Law of Small Probabilities?' Using this law, explain the phenomenon of 'cancer clusters.'
4. How is it that sometimes a low p-value study leads to erroneous conclusions?
5. What can be said of studies that include many subjects? Are they considered to be more statistically powerful than smaller studies? Should one always remember that systemic error due to bias or confounding can be present in even the largest studies?
6. What are screening tests? What types of screening tests are available for secondary prevention? What is the main difference between the two major types of screening tests? Define the following terms (from the blackboard): i) true positives, ii) false positives, iii) true negatives, iv) false negatives.
7. What is the death rate? The birth rate? The fertility rate? What do these different statistics tell us about the health of the population?
8. What is risk assessment? What is the difference between risk assessment and risk perception?
9. Please read the assigned homework material carefully and answer all the homework questions.
1. What is "statistics?" What is the role of "statistics" in Public Health?
2. Discuss the uncertainty of science using the example of the NCI's recommendation that women aged 40-49 should have regular mammograms. Do the risks outweigh the benefits?
3. How do scientists quantify uncertainty? What is probability? What is the p value? What is the 'Law of Small Probabilities?' Using this law, explain the phenomenon of 'cancer clusters.'
4. How is it that sometimes a low p-value study leads to erroneous conclusions?
5. What can be said of studies that include many subjects? Are they considered to be more statistically powerful than smaller studies? Should one always remember that systemic error due to bias or confounding can be present in even the largest studies?
6. What are screening tests? What types of screening tests are available for secondary prevention? What is the main difference between the two major types of screening tests? Define the following terms (from the blackboard): i) true positives, ii) false positives, iii) true negatives, iv) false negatives.
7. What is the death rate? The birth rate? The fertility rate? What do these different statistics tell us about the health of the population?
8. What is risk assessment? What is the difference between risk assessment and risk perception?
9. Please read the assigned homework material carefully and answer all the homework questions.
