# InterConnect wishlist

**URL:** <https://datashield.discourse.group/t/interconnect-wishlist/93>\
**Category:** New functionality\
**Created:** [19 June 2019 13:52 UTC](https://datashield.discourse.group/t/interconnect-wishlist/93 "2019-06-19T13:52:31Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![tombishop](https://yyz2.discourse-cdn.com/free1/user_avatar/datashield.discourse.group/tombishop/32/23_2.png) [@tombishop](https://datashield.discourse.group/u/tombishop)\
**Post date:** [19 June 2019 13:52 UTC](https://datashield.discourse.group/t/interconnect-wishlist/93/1 "2019-06-19T13:52:31Z")

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At the moment there is a single requirement from InterConnect, assuming that Study Level Meta Analyses will be made available in a release September, which is the ability to run Cox models on each dataset separately and meta-analyse the results.

The reason for doing this is that people are uncomfortable when they hear about the piecewise Poisson alternative (even though I know it almost always gives the same results). But it also removes the need to run the Lexis function and to set the bucket sizes.

When speaking to Paul I know there is then an assumption about the baseline hazard then being the same across all studies - but is that only a problem when trying to fit a single model across all studies?