DateTue, 6 Dec 2011 11:54:08 -0800 (PST) Hello stata users, I am estimating a GLM by using the following options: family(nbinomial) link(log) robust How do I interpret the coefficients I get? I used to employ n
Output: . xi:poisson rp sr age2 hgc hhd1 i.year, robust i.year _Iyear_1998-2002 (naturally coded; _Iyear_1998 omitted) Iteration 0: log pseudolikelihood = -10504.806 Iteration 1: log pseudolikelihood = -10504.805 Poisson regression Number of obs = 2277 Wald chi2(6) = 60.92 Prob > ...
Probably the largest group of functions in the DAMisc package are for post-estimation evaluation of non-linear models - particularly binomial (and to a lesser degree, poisson) GLMs and models for ordered and unordered categorical dependent variables. We’ll talk about each kind in turn. Binomial...
We now modify the Poisson model (3) in a simple way to analyze differential expression among topics. In a clustering, each cell belongs to a single cluster, whereas in the topic model, cells havegrades of membershipto the clusters [63] in which\(l_{ik}\)is the membership proportion for...
The idea behind this simple approach was that the most relevant gene sets are those that best explain the log-fold changes yi, and therefore, in the multiple regression, we sought to identify these gene sets by finding coefficients bj that were nonzero with high probability. See [173, 174]...
Distributed multinomial regression. Ann Appl Stat. 2015;9(3):1394–414. 138. Fisher RA. On the interpretation of χ2 from contingency tables, and the calculation of P. J R Stat Soc. 1922;85(1):87–94. 139. Good IJ. Some statistical applications of Poisson's work. Stat Sci. 1986;1...