Timeline for How to analyze trends of multiple patients' data before and after an intervention
Current License: CC BY-SA 3.0
4 events
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| Jan 24, 2018 at 20:17 | comment | added | Björn | Sure. That was not part of what was available as per the question. If it were, then compared to a RCT, it still makes things a lot more complicated though. One would then have to do some kind of approach that reflects that patients that do not elect to/get prescribed the treatment may differ systematically (e.g. propensity score matching). | |
| Jan 24, 2018 at 15:39 | comment | added | AdamO | Even an observational study would permit recruiting controls who are matched to cross-over patients at baseline but, for whatever reason, they did not elect for the investigational treatment/intervention. | |
| Oct 15, 2017 at 17:28 | vote | accept | Simran Parmar | ||
| Jul 12, 2017 at 7:57 | history | answered | Björn | CC BY-SA 3.0 |