摘要: Event Rates and the Homogeneous Poisson Model Over-Dispersed Poisson Model Poisson Regression Model Over-Dispersed and Robust Poisson Regression Power and Sample Size for Poisson Models Conditional Poisson Regression for Matched Sets Problems被引量: 1 ...
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...
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 negative binomial regression (nbreg) and interpreted coefficients in terms of...
The idea behind this simple approach was that the most relevant gene sets are those that best explain the log-fold changes y_i, and therefore, in the multiple regression, we sought to identify these gene sets by finding coefficients b_j that were nonzero with high probability. See [173, ...
(regression) E (Y |X ) = exp(X β) (poisson) E (Y |X ) = P (Y |X ) = Φ (X β) ( probit) E (Y |X ) = P (Y |X ) = [exp (X β)] [1ι + exp (X β)]−1 (logit) E (Y |X ) = g (X ) (nonparametric regression) October 24, 2018 8 / 110 Models ...