Combining data from different sources: datasets from this site are not directly comparable to published trials because the populations are different. They are worth reading separately, not merged together.
Topic summary
Whether an aggregate is worth publishing at all: a disputed topic
This is a generated summary. It shows the 5 most-liked posts from a topic of 25, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
27 likes 13mo
z.vogel, post #7: Privacy: if contributing data, only share data you are comfortable making permanent and public. Once posted, data is persistent. Go to post
Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive.
r.bruun, post #11: Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive. Go to post
Community-collected datasets: some members have compiled datasets from their own experience and shared them. They are self-reported, unblinded, and therefore limited as evidence. But they show real patterns that people experience.
Using data in discussions: datasets are useful as reference points when someone claims something unusual. "I have not seen that reported in the data" is different from "that is impossible", but data gives you something to say.
26 likes 13mo
Read the full topic (25 posts)
This topic was referenced in
- A community side-effect dataset, with its response rate and biasesData & Tools › Datasets · 2 replies
- Cleaning a self-reported dataset and what you throw awayData & Tools › Datasets · 2 replies
- Sample size in a voluntary survey: the selection problemData & Tools › Datasets · 5 replies
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