HLSC 2P27 Lecture Notes - Lecture 7: Infliximab, Logistic Regression, Survival Analysis
24 Jan 2017
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Types of variables: dependent variable- outcome variable (y axis) changes as the independent variable changes if there is an association between the two, independent variable- asking the question of (does this effect the outcome?) controlled by the investigator. ** sometimes the exposure is in the legend- and a time is located on the x axis so the independent variable can be in different places. When choosing dosage--- we look for adverse events. We can turn this into a quantitative variable by saying alive=1 dead=2. These are mutually exclusion (dead or alive: nominal: >= 2 categories, no rank (hep a, hep b, etc. , ordinal: >=2 categories, ordered/ranked (stage 1, 2, 3,etc. , dichotomous/binary/yes-no (sex) Continuous quantitative variable- values occur within a range (level of blood sugar) Interval variable- measured along a continuum and assigned a value, no zero (weather: ratio variable- interval variable on a scale with a meaningful zero. Some variables may be presented as discrete/binary or as a continuous variable.
