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Seeking Recommendations for JMP Techniques
Hello JMP Community,
I'm currently working on a project where I'm analyzing a large dataset in JMP, and I'm looking for some guidance on which techniques to use.
Specifically, I'm interested in exploring techniques beyond the basics. Could anyone recommend advanced statistical analysis methods that have been particularly effective for you in JMP? I'm keen to delve into multivariate analysis, predictive modeling, or any other advanced techniques you've found valuable.
I also check this :
https://community.jmp.com/t5/Discovery-Summit-2017/Overcoming-Health-Care-Improvement-Case-Study-Hur...qlik
I'd also appreciate any tips on how to effectively implement these techniques within the JMP environment.
Thank you!
Regards
Prisha Singh
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Re: Seeking Recommendations for JMP Techniques
Your request is so broad it would take a book long response to answer it. But that aside, it is not the statistical method that drives the analysis, but rather the determination of what question you are seeking an answer for that drives the choice of what method to use.
I suggest that you determine what those questions are and then look to JMP for what methods can help you answer them
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Re: Seeking Recommendations for JMP Techniques
The (free online) JMP training course "Statistical Thinking for Industrial Problem Solving (STIPS)" might be a good starting place to get ideas of what's possible. It covers a lot of statistical techniques using JMP as an analysis platform. I often recommend this to my colleagues.
https://www.jmp.com/en_us/online-statistics-course.html