Recent content by victorxstc

Many thanks for your awesome and detailed response. :) OK, so I will go with the parametric tests in my analysis.

Thanks for the nice answer and advice. I think in this study (and actually most other studies on continuous data), the means are much more important than the ranks. Can you direct me to any references for this advice? Some books or articles? I need to cite this reference to justify my test in...

A. I know from the net that for a design with one binary variable and a second variable that is continuous but is NOT normally distributed, I can use BOTH the point-biserial correlation (which is basically the parametric Pearson correlation formula) as well as the Rank Biserial Correlation...

Thanks Hayden for trying to help.

My goal is to play with the concept of ROC curves.

Thanks.

It doesn't though they are paired. I think you mean SEN and 1 - SPEC. They are the same thing.

How can us create an ROC curve from confusion matrices?

Thanks Greta. Good suggestion. I don't know, I should search and read this "balanced incomplete block design".

And Greta, give it some more thought. I still think when we have 3 parallel arms of split-mouth randomized trials together, we can still name it a hierarchical split-mouth randomized clinical trial. Right?

I am interested in both the within-subject difference between the Intervention (being A or B or C combined) versus the Control (being X), and at the same time the between-subject differences among the three levels of the Intervention (A versus B versus C). There are some important reasons to...

Thanks Greta, nice suggestions. My thoughts: The conventional split mouth (or split plot) design is already a mixed model design. Our study has three of these mixed models together. Then maybe, it might be something like a hierarchical mixed model design, right?

Thanks :) Glad to be here too!!! :) Yes we have conducted it. And I want to decide on the title of the article, hence my struggle with the type of the randomized clinical trial. Treatments can be compared with each other (as between-subject factors) in a mixed regression/repeated-measures...

Thanks Hayden but can you be a little more specific?

Thanks Dason. You know, in the conventional split-mouth randomized clinical trial, there is only this comparison between the (perfectly matched) experimental versus control groups. But in this special scenario, there is also the comparison between effects of the treatments A, B, and C (each...