Advanced epidemiology assignment
1. An epidemiologist wants to test the association between history of abortion and anemia (dependent variable). He includes 1651 mothers. (anemia and pregnancy data)
a. Calculate the crude odds ratio for the association between anemia and history of abortion.
b. Determine whether parity is a confounding factor or effect modifier or both?
c. If parity is an effect modifier, is it departure from additivity or departure from multiplicity?
d. Calculate the confidence interval for anemia prevalence and explain the importance of having confidence interval for dependent variable?
2. A researcher wants to see the distribution of Hookworm in rural and urban situation. He includes 2390 study participants and the main hypothesis he want to test was is the distribution of hook worm (dependent variable) different in rural and urban area? (Hookworm data)
a. Calculate the crude association between resident and Hookworm infection.
b. Which variable/s is/are effect modifier and confounder?
c. Which variable/s is/are not effect modifier and not confounder?
d. Show the effect of chance on each variables
e. Judge for causality