jamovi

The research question is - more simply expressed: What predicts an effective response to the treatment at time point 1 and at time point 2, respectively?

Alright, good to know. Would it be wrong to analyze the two different treatments as two independent experiments and hence perform two separate logistic regression analyses? Because what I want to know is which of the several potential predictor variables provide(s) a strong and statistically signifi...

Thank you. I noticed that the GAMLj3 is only available in the library with the most current version of jamovi and not the so-called solid version, which I had installed until now.

I think this publication here does a similar type of analysis as I would like to do one (in the statistical sense). " Mixed effects logistic regression analysis of blood pressure among Ghanaians and associated risk factors " https://www.nature.com/articles/s41598-023-34478-0 The response v...

Hi, thanks for the answer. What would I select in jamovi for that? I assumed I would have to choose a type of "Regression" analysis, for example "Logistic Regression - N Outcomes/Multinomial". But how would I define or code the 8 different outcomes? Or would I find the appropriat...

Hello, I know how to perform an ordinary binomial logistic regression with two outcomes and several potential predictor variables. But my setup is a bit more complex. There are two treatment groups in the experiment. For each treatment group, there is a binary outcome based on a response variable as...

Thanks for your reply. So, multiple two-sample comparisons would be the correct choice here. What about multiple comparison adjustments such as the Bonferroni correction? Should I apply them here? And what about the quantified parameter being not strictly continuous (i.e. interval or ratio scale) be...

I read about a method called ART (Aligned Rank Transformation), which might be used, but so far I have never seen it applied in any research paper in my field. And the fact that it has not been implemented in Jamovi or any other more common statistical software gives me some doubt too.

Here is an example data set: Group 1: Cell line + primary cells 7 7,5 6,75 7,25 7 7,25 7,75 6,5 7 7,5 Group 2: Cell line + primary cells + substance X 4 4,5 3,75 4 4 5 4,25 3,5 4 4,25 Group 3: Cell line alone 10 9,5 10 9,25 9 9,5 10 8,5 9,5 10 Group 4: Cell line + substance X 9,5 9,5 9,75 10 8,5 9 9...

Sure, I can describe the data set and produce a small, mock data set as an example. The experimental setup looks like this: A cell line, i.e. identical cells that can be propagated indefinitely, is cultivated alone and in combination with primary cells from specific donors. The focus is on the combi...