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That said, it means that you have excluded the participants who dropped out. This means you can determine which of the two drugs treats cancer more effectively. By doing so, you can actually compare the two drugs entirely. This is when you include the data from only the participants of your trial that stayed until the end. As Treated Data Analysis (AT)Īt the end of the study you can you do an AT Data Analysis. But, like everything, they have their pros and cons. You can adjust for this though using either AT or IT analysis. The aim of your trial is to work out if the new drug is better physiologically (in terms of treating lung cancer). Or if the new medication is more acceptable (more tolerable side effect profile, easier to remain compliant etc.). You can never really know! The only thing you do know is the data you’ve already collected about them. They thought the medication was not working.The problem with this is that you don’t know why they dropped out.
DATA ANALYSIS METHODS PPT TRIAL
Now some patients will not follow the trial until the end. Participants are randomly allocated the different treatments.
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Collecting data is only one part of the story. It means you need to overcome several problems along the way.