Please see the data sets: how to arrange the data table and analyze the results to determine the differences for the treatments. Thanks in advance!
@houd wrote:
Thanks for your efforts trying to have a solution. However, I think there is a simple way to provide a statistically significant answer that is why I am asking here since I did not know how.
And I think that a repeated measures analysis is the exact method to use, and I don't believe there is a simpler method.
Please provide the data following these instructions: https://communities.sas.com/t5/SAS-Communities-Library/How-to-create-a-data-step-version-of-your-dat...
Many of us will not download Microsoft Office attachments, as they are security threats.
Also, please take a few minutes and describe the problem in detail, and provide any necessary context.
This data table shows a study of cell growth in 8 flasks; each flask received a different treatment, 8 treatments total; from each treatment, monitoring the progress of three parameters VDC, VIA and mAb over continuous 14 days; there are three different parameters to represent how well or how bad the cell grew due to these treatments; VCD1 to VCD8, VIA1 to VIA8 and mAb1 to mAb8 were not repeats for each measurement, they came out of 8 different treatments.
What is the proper way to analyze the data sets and compare the results: 8 treatments, three sets of parameters progressed along certain time frame. Thanks in advance!
This sounds like a repeated measures analysis, with three different measures and 8 treatments. Here's a simple example:
Thanks for your efforts trying to have a solution. However, I think there is a simple way to provide a statistically significant answer that is why I am asking here since I did not know how.
@houd wrote:
Thanks for your efforts trying to have a solution. However, I think there is a simple way to provide a statistically significant answer that is why I am asking here since I did not know how.
And I think that a repeated measures analysis is the exact method to use, and I don't believe there is a simpler method.
This data table shows a study of cell growth in 8 flasks; each flask received a different treatment, 8 treatments total; from each treatment, monitoring the progress of three parameters VDC, VIA and mAb over continuous 14 days; there are three different parameters to represent how well or how bad the cell grew due to these treatments; VCD1 to VCD8, VIA1 to VIA8 and mAb1 to mAb8 were not repeats for each measurement, they came out of 8 different treatments.
What is the proper way to analyze the data sets and compare the results: 8 treatments, three sets of parameters progressed along certain time frame. Thanks in advance!
I answered your ealier by saying you should use Repeated Measures Analysis
Did that not seem like the right answer? Can you explain?
This data table shows a study of cell growth in 8 flasks; each flask received a different treatment, 8 treatments total; from each treatment, monitoring the progress of three parameters VDC, VIA and mAb over continuous 14 days; there are three different parameters to represent how well or how bad the cell grew due to these treatments; VCD1 to VCD8, VIA1 to VIA8 and mAb1 to mAb8 were not repeats for each measurement, they came out of 8 different treatments.
What is the proper way to analyze the data regression sets and compare the results: 8 treatments, three sets of parameters progressed along certain time frame. Thanks in advance!
I’ll be marking these as spam since you keep posting the same question, and don’t respond to questions or answer which makes it seem like this account is a bot.
I merged everything back into the original thread.
What did you mean?
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