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I can't figure out if this belongs in Cross Validated, Stack Overflow, or Academia, but I think this may be a good place to start:

Can anyone suggest examples of published prospective/retrospective/cross-sectional research (particularly medical) where it was later discovered an uncaught error/bug in either the authors' statistical programming or in a package dependency resulted in an significantly different measure of effect than initially published?

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  • $\begingroup$ Twitter might be the most appropriate venue? $\endgroup$
    – dipetkov
    Jun 30, 2022 at 22:39
  • $\begingroup$ Last week, during a two-day public workshop, the US Bureau of the Census disclosed the occurrence of a bug in their TopDown Algorithm for differential privacy (TDA) that caused some biases and substantially different standard errors in statistics developed from a demonstration dataset. nationalacademies.org/event/06-21-2022/… $\endgroup$
    – whuber
    Jul 1, 2022 at 19:40
  • $\begingroup$ @whuber Thank you! That's exactly the kind of thing I am looking for. $\endgroup$ Jul 1, 2022 at 22:04

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