Temporal bias: older data in a dataset might reflect conditions (supplier, formulation, context) that have changed. Newer data is more current.
Topic summary
Coming back to: A community side-effect dataset, with its response rate and biases
This is a generated summary. It shows the 5 most-liked posts from a topic of 32, 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.
31 likes 12mo
c.nyberg, post #3: Collection methods: ask how the data were collected. Longitudinal tracking over months is stronger than retrospective recall. Prospective measurement (done while experiencing something) is stronger than memory afterward. Go to post
How to contribute: if you have longitudinal data you want to add, the format is simple: date, measurement, context. Contact the maintainer of the specific dataset.
PWendelboe, post #4: Limitations of datasets: all community-collected data has limitations. The population is self-selected (people in this community are not representative of all people using these compounds). Reporting bias is real (remarkable outcomes get reported; mundane outcomes do not). Go to post
I read post #11 twice before replying, because I had assumed the opposite.
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.
Temporal bias: older data in a dataset might reflect conditions (supplier, formulation, context) that have changed. Newer data is more current.
26 likes 10mo
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- Coming back to: A community side-effect dataset, with its response rate and biasesData & Tools › Datasets · 101 replies
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