Mon premier blog

Regression Analysis of Count Data A. Colin Cameron
Publisher: Cambridge University Press

Generalised linear models: linear models as an extension of linear regression; analysis of binary data by logistic regression; analysis of counts and proportions. Since the intercept is a expected mean value as soon as X=0, it is the mean value only for the reference group (when all other X=0). Exchange alliances drive 'portfolio patenting', resulting in fewer forward citations. JEL-Classification: O31, O32, O33, O34. Keywords: R&D Collaboration, Knowledge Exchange, Patents, Innovation, Count. Poisson regression: In statistical analysis definition, Poisson regression is used to model the count data and contingency tables. These include summary statistics and tables, ANOVA, linear regression (and diagnostics), robust methods, nonlinear regression, regression models for limited dependent variables, complex survey data, survival analysis, factor analysis, cluster analysis, Multinomial Logistic Regression Multiple Imputation of Missing Values — Logit Regression Example. 10 Survival and Event-Count Models. For Poisson distribution, Poisson regression assumes the variable Y and assumes the logarithm. A robustness check estimating Generalized Estimation Equation (GEE) population-averaged models allowing for an autoregressive correlation of order one. The independent variables included the OA status of an article, citation count, self-citation counts, number of authors, length in pages, and number of references.