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Posted 11-25-2019 05:44 PM
(1122 views)

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!

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@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.

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Paige Miller

Paige Miller

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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.

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Paige Miller

Paige Miller

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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!

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This sounds like a repeated measures analysis, with three different measures and 8 treatments. Here's a simple example:

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Paige Miller

Paige Miller

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@houd wrote:

And I think that a repeated measures analysis is the exact method to use, and I don't believe there is a simpler method.

--

Paige Miller

Paige Miller

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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!

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I answered your ealier by saying you should use Repeated Measures Analysis

Did that not seem like the right answer? Can you explain?

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Paige Miller

Paige Miller

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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!

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I merged everything back into the original thread.

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What did you mean?

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Nice try if you could have a solution.

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