- Stata tip 146: Using margins after a Poisson regression model to estimate the number of events prevented by an intervention
- M. Falcaro, R. B. Newson, and P. Sasieni. 2022.
- Stata Journal Volume 22 Number 2.
- merlin––A unified modeling framework for data analysis and methods development in Stata
- M. J. Crowther. 2020.
- Stata Journal Volume 20 Number 4.
- sfcount: Command for count-data stochastic frontiers and underreported and overreported counts
- E. Fé and R. Hofler. 2020.
- Stata Journal Volume 20 Number 3.
- Fast Poisson estimation with high-dimensional fixed effects
- S. Correia, P. Guimarães, and T. Zylkin. 2020.
- Stata Journal Volume 20 Number 1.
- Modeling count data with marginalized zero-inflated distributions
- T. H. Cummings and J. W. Hardin. 2019.
- Stata Journal Volume 19 Number 3.
- Within- and between-cluster effects in generalized linear mixed models: A discussion of approaches and the xthybrid command
- R. Schunck and F. Perales. 2017.
- Stata Journal Volume 17 Number 1.
- Regression models for bivariate count outcomes
- X. Xu and J. W. Hardin. 2016.
- Stata Journal Volume 16 Number 2.
- Modeling heaped count data
- T. H. Cummings, J. W. Hardin, A. C. McLain, J. R. Hussey, K. J. Bennett, and G. M. Wingood. 2015.
- Stata Journal Volume 15 Number 2.
- Speaking Stata: Species of origin
- N. J. Cox. 2015.
- Stata Journal Volume 15 Number 2.
- Estimating and modeling relative survival
- P. W. Dickman and E. Coviello. 2015.
- Stata Journal Volume 15 Number 1.
- Regression models for count data from truncated distributions
- J. W. Hardin and J. M. Hilbe. 2015.
- Stata Journal Volume 15 Number 1.
- The chi-squared goodness-of-fit test for count-data models
- M. Manjón and O. Martínez. 2014.
- Stata Journal Volume 14 Number 4.
- Estimating adjusted associations between random effects from multilevel models: The reffadjust package
- T. M. Palmer, C. M. Macdonald-Wallis, D. A. Lawlor, and K. Tilling. 2014.
- Stata Journal Volume 14 Number 1.
- Testing for zero inflation in count models: Bias correction for the Vuong test
- B. A. Desmarais and J. J. Harden. 2013.
- Stata Journal Volume 13 Number 4.
- A score test for group comparisons in single-index models
- P. Guimarães. 2013.
- Stata Journal Volume 13 Number 4.
- Modeling underdispersed count data with generalized Poisson regression
- T. Harris, Z. Yang, and J. W. Hardin. 2012.
- Stata Journal Volume 12 Number 4.
- poisson: Some convergence issues
- J. M. C. Santos Silva and S. Tenreyro. 2011.
- Stata Journal Volume 11 Number 2.
- Estimating adjusted risk ratios for matched and unmatched data: An update
- P. Cummings. 2011.
- Stata Journal Volume 11 Number 2.
- Estimation of hurdle models for overdispersed count data
- H. Farbmacher. 2011.
- Stata Journal Volume 11 Number 1.
- Right-censored Poisson regression model
- R. Raciborski. 2011.
- Stata Journal Volume 11 Number 1.
- Creating synthetic discrete-response regression models
- J. M. Hilbe. 2010.
- Stata Journal Volume 10 Number 1.
- Methods for estimating adjusted risk ratios
- P. Cummings. 2009.
- Stata Journal Volume 9 Number 2.
- Two postestimation commands for assessing confounding effects in epidemiological studies
- Z. Wang. 2007.
- Stata Journal Volume 7 Number 2.
- Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables
- A. Miranda and S. Rabe-Hesketh. 2006.
- Stata Journal Volume 6 Number 3.
- Boosted regression (boosting): An introductory tutorial and a Stata plugin
- M. Schonlau. 2005.
- Stata Journal Volume 5 Number 3.
- Understanding the multinomial–Poisson transformation
- P. Guimarães. 2004.
- Stata Journal Volume 4 Number 3.
- Analysis of matched cohort data
- P. Cummings and B. McKnight. 2004.
- Stata Journal Volume 4 Number 3.
- FIML estimation of an endogenous switching model for count data
- A. Miranda. 2004.
- Stata Journal Volume 4 Number 1.
- Power by simulation
- A. H. Feiveson. 2002.
- Stata Journal Volume 2 Number 2.
- Predicted probabilities for count models
- J. S. Long and J. Freese. 2001.
- Stata Journal Volume 1 Number 1.
