Editing Experiment VS Observational study
Jump to navigation
Jump to search
Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.
| Latest revision | Your text | ||
| Line 4: | Line 4: | ||
Experimenting is to formally state spell out and control for as many variables as you can. Science. Because user makes sure to change nothing else during the experiment many issues with analyzing time based relations do no happen. Consequently linear regression, ttest, causal analysis and breakpoint detection work. Maybe some complications in establishing baseline. See [[T-test]]. If lots of people did this at the same time you would have a crossover study<ref>https://www.cancer.gov/publications/dictionaries/cancer-terms/def/crossover-study</ref>. | Experimenting is to formally state spell out and control for as many variables as you can. Science. Because user makes sure to change nothing else during the experiment many issues with analyzing time based relations do no happen. Consequently linear regression, ttest, causal analysis and breakpoint detection work. Maybe some complications in establishing baseline. See [[T-test]]. If lots of people did this at the same time you would have a crossover study<ref>https://www.cancer.gov/publications/dictionaries/cancer-terms/def/crossover-study</ref>. | ||
| − | Second type is observational study. Just monitoring all the variables without a specific structure or interventions. This is | + | Second type is observational study. Just monitoring all the variables without a specific structure or interventions. This is what most health trackers do and is useful for many reasons. Also may remove placebo and stress or nervousness effect from a more formal experiment. Unfortunately this is where all those issues I mentioned in [[Finding relations between variables in time series]] and many more in the links all are relevant. |
When you are done, do not forget to visualize. [[Visualizing your Data]] | When you are done, do not forget to visualize. [[Visualizing your Data]] | ||
[[Category:Experiment design]] | [[Category:Experiment design]] | ||