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2017年8月11日 星期五

Modern repeated measures analysis using mixed models in SPSS (2) This uses a Repeated measures analyse as an introduction to the Mixed models (random effects) option in SPSS. Demonstrates different Covariance matrix types & how to use the Likelihood ratio test to evaluate different models. First an inappropriate standard regression model is developed then one with a random intercept ( considering the patient a level 2 variable) and finally a random intercept+ slope model, each is evaluated using the likelihood ratio test (see previous video for more details on obtaining chi square p value). The example is from Twisks excellent book - applied multilevel analysis p.91-95 with him using the free package MLWin Robin Beaumont for Full notes, MCQ's etc see: http://www.robin-beaumont.co.uk/virtu... https://www.youtube.com/watch?v=LKT4brBV-jo

Modern repeated measures analysis using mixed models in SPSS (2)

This uses a Repeated measures analyse as an introduction to the Mixed models (random effects) option in SPSS.
Demonstrates different Covariance matrix types & how to use the Likelihood ratio test to evaluate different models.
First an inappropriate standard regression model is developed then one with a random intercept ( considering the patient a level 2 variable) and finally a random intercept+ slope model, each is evaluated using the likelihood ratio test (see previous video for more details on obtaining chi square p value).
The example is from Twisks excellent book - applied multilevel analysis p.91-95 with him using the free package MLWin

Robin Beaumont
for Full notes, MCQ's etc see:

http://www.robin-beaumont.co.uk/virtu...
https://www.youtube.com/watch?v=LKT4brBV-jo