HSS 2381 Chapter Notes - Chapter 4: Absolute Risk Reduction, Frequency Distribution, Absolute Difference

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Eleanor Riesen

Document Summary

Bivariate descriptive statistics: bivariate descriptive statistics are used to describe relationships between two variables. Smoking status and lung cancer incidence: appropriate statistic depends on the variables" level of measurement. Crosstab tables: crosstab tables are described by the number of categories of each variable. E. g. , a 2 2 table summarizes counts & percentages for two dichotomous variables (e. g. , male/female, smoker/nonsmoker: the number of cells in the table is the product of the two sets of categories: 2 2 table = 4 cells. 3 3 table = 9 cells. Risk indexes: risk indexes have been developed to describe risk outcomes and facilitate clinical decision making, ex: for situations with two dichotomous nominal variables (2 2 situation) One is a risk factor or an intervention status (e. g. , smoked/didn"t) The other is the outcome (lung cancer/no lung cancer: not used often in nursing, howver, when looking at health outcomes and seeing if they"ve. Some people have exposure to the risk factor, others do not.