Advanced Statistical Methods for Healthcare Research 0G016G

Days: 2 day
Price: $1595

Course Details

The first part of the course focuses on the Analysis of Variance (ANOVA) techniques which allow you to test whether the means of several populations are the same. You will develop an understanding of when to apply the techniques, how to apply them and how to interpret the results. The second part of the course will build upon your knowledge of linear regression and will introduce you to logistic regression. We will include categorical predictors in regression models via dummy variables, discuss variable selection methods, model building philosophies and learn how to run and interpret logistic regression in IBM SPSS Statistics.

Course Agenda

  • Logic of testing for mean differences
  • Comparing two groups: review of t-test
  • Comparing more than two groups: ANOVA
  • Examining the data
  • Hypothesis testing and assumptions
  • One-way Analysis of Variance (ANOVA)
  • Multi-way univariate ANOVA
  • Multi-way multivariate ANOVA (MANOVA)
  • Nonparametric (distribution free) alternatives
  • Post hoc testing and planned comparisons
  • Graphing the results
  • Review of multiple linear regression
  • Influential points and multicollinearity
  • Including categorical predictors in regression models via dummy variables
  • Running logistic regression in IBM SPSS Statistics
  • ROC curves
  • Interpreting logistic regression output
  • Repeated measures ANOVA

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