references.Rmd

`r if (knitr:::is_html_output()) '# References {-}'`



These references are a mix of starting points, interesting notes, and more authoritative sources.

## Robust SE

- King & Roberts. (2015). How Robust Standard Errors Expose Methodological Problems They Do Not Fix. *Political Analysis*.
- Trivedi, C. (2011). [Robust Inference with Clustered Data](http://www.stata.com/meeting/mexico11/materials/cameron.pdf). 


## Fixed effects and 'panel' data models

- Wooldridge. (2016). Introductory Econometrics: A Modern Approach (6e). [link](http://www.cengage.com/search/productOverview.do?N=16+4294922239+4294966644+142&Ntk=P_EPI&Ntt=152961460856007931617237609421833777028&Ntx=mode%2Bmatchallpartial)
- Wooldridge. (2010). Econometric Analysis of Cross Section and Panel Data (2e). [link](https://mitpress.mit.edu/books/econometric-analysis-cross-section-and-panel-data)
- Baltalgi. (2005). Econometric Analysis of Panel Data (3e). [link](http://www.wiley.com/legacy/wileychi/baltagi3e/)


## Mixed models

- [My documents](https://m-clark.github.io/documents/#mixed-models) and [workshop notes](https://m-clark.github.io/mixed-models-with-R/).
- Gelman & Hill. (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models. [link](http://www.stat.columbia.edu/~gelman/arm/)
- Pinheiro & Bates. (2000). Mixed-Effects Models in S and S-PLUS. [link](http://link.springer.com/book/10.1007%2Fb98882)
- Fahrmeier et al. (2013). Regression. [link](http://www.springer.com/us/book/9783642343322)
- West et al. (2014). Linear Mixed Models: A Practical Guide Using Statistical Software (2e). [link](http://www-personal.umich.edu/~bwest/almmussp.html) 


## GEE

To be honest I can't speak to this reference from experience, though I've read and would recommend Hardin and Hilbe's GLM book, and this is a similar approach (applied with Stata examples).

- Hardin & Hilbe (2013). Generalized Estimating Equations. [link](https://www.crcpress.com/Generalized-Estimating-Equations-Second-Edition/Hardin-Hilbe/p/book/9781439881132) 


## Growth Curve Models

- Kline. (2015). Principles and Practice of Structural Equation Modeling. [link](http://www.guilford.com/books/Principles-and-Practice-of-Structural-Equation-Modeling/Rex-Kline/9781462523344)

- [My SEM notes](http://m-clark.github.io/sem/growth-curves.html)

## Survey Analysis

- Lumley, T. (2010) [Complex Surveys: A Guide to Analysis Using R](https://www.wiley.com/en-us/Complex+Surveys%3A+A+Guide+to+Analysis+Using+R-p-9780470284308).


## Comparison/Issues

- Gardiner et al. (2009). Fixed effects, random effects, and GEE: What are the differences? *Statistics in Medicine*. [link](https://www.ncbi.nlm.nih.gov/pubmed/19012297)

- Bell & Jones. (2015) Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data.  [link](https://www.cambridge.org/core/journals/political-science-research-and-methods/article/explaining-fixed-effects-random-effects-modeling-of-time-series-cross-sectional-and-panel-data/0334A27557D15848549120FE8ECD8D63)

- Bell & Jones. (2016) Fixed and Random effects: making an informed choice.[link](http://seis.bris.ac.uk/~ggmhf/ABMFKJ.FE-REdraft.pdf)

- R mixed list FAQ. Old but still has useful information. [link](http://glmm.wikidot.com/faq)