Fantastic! Many thanks, Harold
From: Russ Waitman Date: Wednesday, July 13, 2016 at 1:53 PM To: Harold Lehmann Cc: "Rachel Hess ([email protected]<mailto:[email protected]>)", "[email protected]<mailto:[email protected]>", "Brad Pollock ([email protected]<mailto:[email protected]>)", "'[email protected]<mailto:'[email protected]>'", "[email protected]<mailto:[email protected]>", "Greenlee, Robert T PHD ([email protected]<mailto:[email protected]>)", Brittany Zschoche Subject: RE: Methodology CRG Hi Harold, Ccing the rest of the committee as well (had been out in DC for PCORI and catching up so my bandwidth is taxed). I am definitely in favor of methods development and a CRG focused on this but I have limited bandwidth this week personally. I’d say we have interest in this across the GPC so you could put us down. Specifically Betsy Chrischilles, Bob Greenlee, and Brad Pollock (who’s also with UCDavis) may be interested in contributing along with many from the GPC-DEV group that are developing infrastructure and methods. I’ll let them email you back to confirm specific interst. Russ From: Harold Lehmann [mailto:[email protected]] Sent: Wednesday, July 13, 2016 12:35 PM To: Russ Waitman Subject: Methodology CRG Russ -- Rachel cc'd you on a note about this a couple of days ago, but now I'd like to make the request more formal. Would Greater Plains be interested in joining in? ________________________________ Methodology CRG As PCORNet moves forward with cross-network research, and as the national Learning Health System increasingly depends on EHR and other clinical records, there is a need to articulate appropriate approaches to analyzing the data collected across PCORNet. We propose a cross-cutting research group in Methodology that would post known methods and best practices for dealing with such inter institutional data, and would work on novel methods where methods are unavailable. Issues to be addressed include (but are not limited to) addressing metrics that assess how pool able data are across institutions, how to address and model missingness not at random, how to address semantic variability across sites, how to address the variable time points of data collected, how to address left and right censoring, and others, how to address research of rare diseases. This CRG would be a resource for the entire network, soliciting questions from member networks, as well as would pursue funding opportunities outside the network, e.g., for validating novel methods. ________________________________ As you know, this paragraph is due on Friday. Let me know if I can include your network---or what I need to do to answer that request. Many thanks, Harold
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