HLSC 2P27 Lecture Notes - Lecture 9: Scatter Plot, Pie Chart, Multivariate Analysis

• School: Brock University
• Department: Health Sciences
• Course: HLSC 2P27
• Professor: Carolynn Pietrangeli

Document Summary

Types of variables: dependent = outcome variable, y axis, label with units. Independent = exposure variable: x axis, label with units. Levels of measurement: ordinal, no ranked value, race, religion, nominal, ranked value, age, bmi, satisfaction survey. Variables: categorical = discrete = qualitative, mutually exclusive variables, types: nominal >2 categories, no rank; ordinal >2 categories, ordered/ranked; Di(cid:272)hoto(cid:373)ous/(cid:271)i(cid:374)ary/ yes-(cid:374)o : hep a/hep b/hep c, least-most severe. Hlsc 2p27: sex, continuous = quantitative (values occur within a range) What kind of variable do we have: height, ratio, number of family members, ratio, country of residence, ordinal, vaccinated/unvaccinated, binary, date of birth. Interval: duration of diagnosis with rheumatoid arthritis, ratio, results of tuberculin skin test, binary, survey result: 1 = strongly disagree; 5 = strongly agree, nominal. Analytical plan: univariate analysis, one dependent variable; can have multiple independent variables, description, case series, cross-sectional, survey, cohort study, rct, bivariate analysis, two variables; can be independent or dependent, comparison, case control, cohort.