Hi Nino, If the group you are looking at has successfully replicated the results of the original paper, than I would focus on making a few good suggestions for possible improvements to the author's original analysis (which might take the form of critiquing some aspect of the statistical model or some other feature of the methods). If the group has both replicated the original findings and provided some ideas about where they would like to take the project, than it would be great to either provide some constructive feedback about where they want to take the project or to comment on some flaw in the original paper which you think might be productive for them to investigate. Focus your attention on the 3 or 4 suggestions that you think are the most important and most productive for the other group. That's sort of a vague answer to your question, but just use your judgment about what will be most helpful for the other group. Iain On Sun, Mar 28, 2010 at 4:41 PM, Malekovic, Nino <nino_malekovic at hks11.harvard.edu> wrote: > Hi, > > I guess my question is for our TF-s. > > To what extent we have to help our colleagues improve their papers? Specifically, should we focus on improving their contribution (until now that was mainly replication of original data analysis), > or should we also draw their attention to what seem questionable in author's original analysis? > > Any help is appreciated. > > Nino Malekovic > MPA Candidate, Class 2011 > Harvard Kennedy School > ________________________________________ > From: gov2001-l-bounces at lists.fas.harvard.edu [gov2001-l-bounces at lists.fas.harvard.edu] On Behalf Of gov2001-l-request at lists.fas.harvard.edu [gov2001-l-request at lists.fas.harvard.edu] > Sent: Saturday, March 27, 2010 12:00 PM > To: gov2001-l at lists.fas.harvard.edu > Subject: gov2001-l Digest, Vol 56, Issue 49 > > Send gov2001-l mailing list submissions to > ? ? ? ?gov2001-l at lists.fas.harvard.edu > > To subscribe or unsubscribe via the World Wide Web, visit > ? ? ? ?http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l > or, via email, send a message with subject or body 'help' to > ? ? ? ?gov2001-l-request at lists.fas.harvard.edu > > You can reach the person managing the list at > ? ? ? ?gov2001-l-owner at lists.fas.harvard.edu > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of gov2001-l digest..." > > > Today's Topics: > > ? 1. logit clustered SEs (Lin, Eric) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Fri, 26 Mar 2010 20:46:06 -0400 > From: "Lin, Eric" <elin at hbs.edu> > Subject: [gov2001] logit clustered SEs > To: Class List for Gov 2001/E-2001 <gov2001-l at lists.fas.harvard.edu> > Message-ID: <75A246F5-57C4-4DCE-B134-DA0B18718805 at hbs.edu> > Content-Type: text/plain; charset="us-ascii" > > one follow up: > > Like lmr() from the Design package, `gee' doesn't like it when you give it dummies that create collinearity. ?run glm() first, and see what it dropped to avoid collinearity. ?Then, drop those from your specification. ?Run this using gee(), and use the id=`` for specifying what you want to cluster on. > > > > -- > ERIC LIN > Technology and Operations Management > Harvard Business School > Boston, MA 02163 > elin at hbs.edu >