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I am interested in statistical procedures and study designs used to determine the absence/acceptability of long-term side effects of the anti-covid vaccines. Given that these vaccines were created and approved within a short period of time (less than a year), it seems that the studies using conventional survival analysis are of little value (i.e., we cannot make predictions for decades ahead). I assume that one relies on the similarity with other, well-tested vaccines.

What are the statistical procedures for evaluating long-term side effects in such cases?

Background:

  • I have posted earlier a similar question in the biology community, which evolved through the discussions with the members of that community. I do not repost it in its entirety, as it may bias the answers in a wrong direction.
  • I come from a quantitative field and have some experience in biostatistics, so I am looking for a serious answer or references to the relevant literature.
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  • Hi, welcome to Medical Sciences. I can't seem to find an actual question in your post. I see the far more detailed question you have in Biology, but that's a different question with more detail? Questions need to be self-sufficient and not depend on outside links, so could you please clarify your question and add the level of detail your other question has? – Carey Gregory Dec 30 '20 at 0:16
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    @CareyGregory thank you for your input/suggestions. I adjusted my question to accomodate them. – Vadim Dec 30 '20 at 7:18

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