Advanced Statistical Methods for Healthcare Research SPVC
This intermediate course is intended for Healthcare professionals who want to identify significant differences between two or more groups and who want to analyze binary outcome data using logistic regression methods.
A good working knowledge of IBM SPSS Statistics Base and inferential statistics is required prior to attending this course. Attendance on the Statistical Methods for Healthcare Research course is strongly recommended.
This is the self paced training version of "Advanced Statistical Methods for Healthcare Research" classroom course. 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.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
E-Learning IBM Self-Paced Virtual Class (SPVC)
Preis (exkl. MwSt.)