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techplexus · ‎10-13-2024

I am not sure if those kind of predictions can be done with GEE or not as the output tables didn't give me much information.

techplexus · ‎10-13-2024

Thank you for your reply. For example if my independent variables are continuous variables like systolic blood pressure , diastolic blood pressure and age. Patients are then diagnosed to be having heart disease like Myocardial infarction. Final endpoint variables are death or time to death. I want to know how much drop in SBP or DBP before or after diagnosis of heart disease would be significant to predict high chances of death so that additional treatment can be given to those having high risk. Additionally if variables like gender or education status can predict the death (this is secondary objective).

techplexus · ‎10-10-2024

I have about 736 patients' data. Will that be sufficient for this model?

techplexus · ‎10-09-2024

I have data from patients who underwent tests at different time points. Some underwent 10 times over 1 year and some 100 times over 20 years. I want to analyse whether drop in a variable measured at those times was significant cause of an event like death. For example one patient had blood pressure measured at 1, 3,7 weeks. Another at 2, 6,9, 66, 98 weeks. So if drop in blood pressure at time was significant cause of death.

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Date Last Visited	‎10-14-2024 01:55 PM

Re: Analysis of multiple different time points data per patient

Re: Analysis of multiple different time points data per patient

Re: Analysis of multiple different time points data per patient

Analysis of multiple different time points data per patient

Re: Analysis of multiple different time points data per patient

Re: Analysis of multiple different time points data per patient

Re: Analysis of multiple different time points data per patient

Re: Analysis of multiple different time points data per patient

Analysis of multiple different time points data per patient