EncartaLabs

Statistical Methods for Healthcare Research

( Duration: 1 Day )

The Statistical Methods for Healthcare Research training 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 to logistic regression.

A good working knowledge of IBM SPSS Statistics Base and inferential statistics is required prior to attending this course.

This Statistical Methods for Healthcare Research class is ideal 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.

COURSE AGENDA

1

Logic of testing for mean differences

2

Comparing two groups: review of t-test

3

Comparing more than two groups: ANOVA

4

Examining the data

5

Hypothesis testing and assumptions

6

One-way Analysis of Variance (ANOVA)

7

Multi-way univariate ANOVA

8

Multi-way multivariate ANOVA (MANOVA)

9

Nonparametric (distribution free) alternatives

10

Post hoc testing and planned comparisons

11

Graphing the results

12

Review of multiple linear regression

13

Influential points and multicollinearity

14

Including categorical predictors in regression models via dummy variables

15

Running logistic regression in IBM SPSS Statistics

16

ROC curves

17

Interpreting logistic regression output

18

Repeated measures ANOVA

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View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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