Advanced Statistical Methods for Healthcare Research Eğitimi

Ön Kayıt ve Fiyat Bilgi Formu



Tarih ve lokasyonlar


Bu eğitimi özel sınıf olarak kendi kurumunuzda talep edebilirsiniz.
Lütfen bizimle iletişime geçin:


info@bilginc.com

+90 212 282 7700

Talep Formu
Eğitim Tipi ve Süresi

1 Day ILT    

Advanced Statistical Methods for Healthcare Research (0G016G )

IBM Course Code: 0G016G

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.

Access Your Class Recording for Six Months

Enjoy six months of access to a fully indexed and searchable recording of your class when you choose our Virtual Classroom Live learning experience.

Who Needs to Attend

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.

Prerequisites

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.

Follow-On Courses

There are no follow-ons for this course.

Course Outline

  • 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



Eğitim içeriğini PDF olarak indir

Eğitim Sağlayıcı ve Kategori

IBM  » IBM SPSS Statistics Eğitimler
IBM  » Business Analysis Eğitimler
Business Analysis  » Business Analysis Eğitimler

Diğer IBM, Business Analysis Eğitimleri