BMS1042 Lecture Notes - Lecture 3: Selection Bias, Physical Examination, Summary Statistics

• School: Monash University
• Department: Health Sciences - BMS
• Course: BMS1042
• Professor: Professor Basia Diug

Document Summary

Lecture 5 | public health origins: formulating a hypothesis & measure the. Define and understand key epidemiological terms related to measuring exposure. Explain and identify different types of measurement error, bias and confounding that occur in public health research. Explain the difference between concepts validity and reliability. X (as in x and y in a statistical model) (cid:862)health (cid:396)elated states a(cid:374)d e(cid:448)e(cid:374)t(cid:863) also (cid:272)alled: Disease (even if its not a disease like substance abuse) Y (as in x and y in statistical model) Covariates: other variables that have influence on the relation between an exposure and outcome (include confounders) Exposure x is associated with an increased (or decreased) risk of outcome. Exposure to wearing a helmet is associated with a decreased risk of dying from head trauma in motorcycle accident. Ratio measure of 1 (equally liked in the exposed and non-exposed) States there is an associated btw exposed and disease.