# Meta-analysis, missing estimates of standard error in the outcome

**URL:** <https://discourse.mc-stan.org/t/meta-analysis-missing-estimates-of-standard-error-in-the-outcome/18262>\
**Category:** brms\
**Tags:** meta-analysis, cognitive-science\
**Created:** [September 29, 2020, 11:02am UTC](https://discourse.mc-stan.org/t/meta-analysis-missing-estimates-of-standard-error-in-the-outcome/18262 "2020-09-29T11:02:01Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![mike-lawrence](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/mike-lawrence/32/59_2.png) [@mike-lawrence](https://discourse.mc-stan.org/u/mike-lawrence)\
**Post date:** [September 29, 2020, 3:26pm UTC](https://discourse.mc-stan.org/t/meta-analysis-missing-estimates-of-standard-error-in-the-outcome/18262/3 "2020-09-29T15:26:46Z")

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Would the model [here](https://discourse.mc-stan.org/t/meta-analysis-with-inference-on-measurement-error-variability/12460/8) be pertinent?

I think that if you had the sample size but not the SE or SD, you could use partial-pooling to inform on the missing SD and thereby permit studies with that info missing to still contribute to the meta-analysis, no?

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