# Learning Materials

## Data.LearningMaterials History

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*[[http://dataninja.wordpress.com | Dataninja ]] - tips, cheatsheets, etc. on data analysis, Stata, SAS, R.

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!!Miscellaneous

*[[http://www-stat.wharton.upenn.edu/~buja/sci.html | The Science of Scientific Writing]] by Gopen & Swan

*[[http://www-stat.wharton.upenn.edu/~buja/sci.html | The Science of Scientific Writing]] by Gopen & Swan

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Categories: [[!Tutorials]], [[!Reference]], [[!SAS], [[!Stata]

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Categories: [[!Tutorials]], [[!Reference]], [[!SAS]], [[!Stata]]

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**[[http://www.ats.ucla.edu/stat/sas/default.htm | SAS resources]]

**[[http://www.ats.ucla.edu/stat/spss/default.htm | SPSS resources]]

**[[http://www.ats.ucla.edu/stat/stata/default.htm | STATA resources]]

**[[http://www.ats.ucla.edu/stat/spss/default.htm | SPSS resources]]

**[[http://www.ats.ucla.edu/stat/stata/default.htm | STATA resources]]

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*[[http://www.stata.com/support/faqs~~/res/findit.html~~|STATA ~~Support faq~~]]

~~* [[http://www.stata.com/support/statalist/faq|STATA List faq]]~~

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*[[http://www.stata.com/support/faqs|STATA FAQs]]

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*[[http://www.stata.com/support/faqs/res/findit.html|STATA Support faq]]

* [[http://www.stata.com/support/statalist/faq|STATA List faq]]

Categories: [[!Tutorials]], [[!Reference]], [[!SAS], [[!Stata]

* [[http://www.stata.com/support/statalist/faq|STATA List faq]]

Categories: [[!Tutorials]], [[!Reference]], [[!SAS], [[!Stata]

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*[[http://support.sas.com/documentation/onlinedoc/91pdf/sasdoc_91/base_proc_6982.pdf | Base SAS 9.1 Procedures Guide]] - pdf

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Categories: [[!Tutorials]], [[!Reference]], [[!SAS]]

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*[[http://uclibs.org/PID/9477 | A handbook of statistical analyses using SAS]]

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*[[http://uclibs.org/PID/9477 | A handbook of statistical analyses using SAS]] - e-book

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*[[http://www.ats.ucla.edu/stat/ | UCLA ATS Statistical Computing Resources]] - Extensive instructional materials on statistical analysis and software applications.

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*[[http://www.ats.ucla.edu/stat/ | UCLA ATS Statistical Computing Resources]] - Extensive instructional materials on statistical analysis and software applications.

CAtegories: [[!Tutorials]], [[!Reference]], [[!SAS]]

CAtegories: [[!Tutorials]], [[!Reference]], [[!SAS]]

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-~~<~~Interesting list of statistical analysis books from the political blog site, Daily Kos. Short synopses plus comments from readers.

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->Interesting list of statistical analysis books from the political blog site, Daily Kos. Short synopses plus comments from readers.

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-~~ ~~Interesting list of statistical analysis books from the political blog site, Daily Kos. Short synopses plus comments from readers.

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-<Interesting list of statistical analysis books from the political blog site, Daily Kos. Short synopses plus comments from readers.

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[[http://www.dailykos.com/story/2006/12/3/62238/9507 | Statistics 101 Book Recommendations]]

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*[[http://www.dailykos.com/story/2006/12/3/62238/9507 | Statistics 101 Book Recommendations]]

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[[http://www.ats.ucla.edu/stat/ | UCLA ATS Statistical Computing Resources]] - Extensive instructional materials on statistical analysis and software applications.

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*[[http://www.ats.ucla.edu/stat/ | UCLA ATS Statistical Computing Resources]] - Extensive instructional materials on statistical analysis and software applications.

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[[http://uclibs.org/PID/9551 |STATSnetBase]] - online library of over 100 statistics ~~books~~

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*[[http://uclibs.org/PID/9551 |STATSnetBase]] - online library of over 100 statistics books

*[[http://uclibs.org/PID/9477 | A handbook of statistical analyses using SAS]]

*[[http://uclibs.org/PID/9477 | A handbook of statistical analyses using SAS]]

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[[http://www.ats.ucla.edu/stat/~~UCLA ATS ]] - Extensisve~~ instructional materials on statistical analysis and software applications.

to:

[[http://www.ats.ucla.edu/stat/ | UCLA ATS Statistical Computing Resources]] - Extensive instructional materials on statistical analysis and software applications.

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- Interesting ~~entry from the political blog site, Daily Kos. Short synopses plus comments from~~ readers.

to:

- Interesting list of statistical analysis books from the political blog site, Daily Kos. Short synopses plus comments from readers.

!!Web Sites

[[http://www.ats.ucla.edu/stat/UCLA ATS ]] - Extensisve instructional materials on statistical analysis and software applications.

!!Web Sites

[[http://www.ats.ucla.edu/stat/UCLA ATS ]] - Extensisve instructional materials on statistical analysis and software applications.

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!!~~Books~~

!!!Found on the web:

!!!Found on the web:

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!!Bibliographies

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!!!!Basic and Introductory and General and Miscellaneous

* Statistics as principled argument, by Robert Abelson.

* The elements of statistical learning by Hastie et al.

* An introduction to the bootstrap by Efron and Tibshirani.

* Classification and regression trees by Breiman et al.

!!!!Regression methods

* Regression modelling strategies, by Frank Harrell.

* Regression models for Categorical and limited dependent variables by J. Scott Long.

* Applied logistic regression by Hosmer and Lemeshow.

* Regression models for discrete longitudinal data by Molenberghs and Verbeke.

* Linear mixed models for longitudinal data by Verbeke and Mollenberghs.

* Applied longitudinal analysis by Fitzmaurice, Laird, and Ware.

!!!!Graphics

* Visualizing data by William S. Cleveland

* The elements of graphing data

* All of Tufte's work

!!!!Categorical data

* Categorical data analysis, by Alan Agresti

* An introduction to categorical data analysis by Alan Agresti.

* Applied categorical data analaysis, by Chap Le.

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- Interesting entry from the political blog site, Daily Kos. Short synopses plus comments from readers.

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!!E-Books

[[http://uclibs.org/PID/9551 |STATSnetBase]] - online library of over 100 statistics books

[[http://uclibs.org/PID/9551 |STATSnetBase]] - online library of over 100 statistics books

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- Interesting entry ~~on~~ the political blog site, Daily Kos. Short synopses plus comments from readers. Here's the list.

to:

- Interesting entry from the political blog site, Daily Kos. Short synopses plus comments from readers. Here's the list.

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!!Books

!!!Found on the web:

[[http://www.dailykos.com/story/2006/12/3/62238/9507 | Statistics 101 Book Recommendations]]

- Interesting entry on the political blog site, Daily Kos. Short synopses plus comments from readers. Here's the list.

!!!!Basic and Introductory and General and Miscellaneous

* Statistics as principled argument, by Robert Abelson.

* The elements of statistical learning by Hastie et al.

* An introduction to the bootstrap by Efron and Tibshirani.

* Classification and regression trees by Breiman et al.

!!!!Regression methods

* Regression modelling strategies, by Frank Harrell.

* Regression models for Categorical and limited dependent variables by J. Scott Long.

* Applied logistic regression by Hosmer and Lemeshow.

* Regression models for discrete longitudinal data by Molenberghs and Verbeke.

* Linear mixed models for longitudinal data by Verbeke and Mollenberghs.

* Applied longitudinal analysis by Fitzmaurice, Laird, and Ware.

!!!!Graphics

* Visualizing data by William S. Cleveland

* The elements of graphing data

* All of Tufte's work

!!!!Categorical data

* Categorical data analysis, by Alan Agresti

* An introduction to categorical data analysis by Alan Agresti.

* Applied categorical data analaysis, by Chap Le.

!!!Found on the web:

[[http://www.dailykos.com/story/2006/12/3/62238/9507 | Statistics 101 Book Recommendations]]

- Interesting entry on the political blog site, Daily Kos. Short synopses plus comments from readers. Here's the list.

!!!!Basic and Introductory and General and Miscellaneous

* Statistics as principled argument, by Robert Abelson.

* The elements of statistical learning by Hastie et al.

* An introduction to the bootstrap by Efron and Tibshirani.

* Classification and regression trees by Breiman et al.

!!!!Regression methods

* Regression modelling strategies, by Frank Harrell.

* Regression models for Categorical and limited dependent variables by J. Scott Long.

* Applied logistic regression by Hosmer and Lemeshow.

* Regression models for discrete longitudinal data by Molenberghs and Verbeke.

* Linear mixed models for longitudinal data by Verbeke and Mollenberghs.

* Applied longitudinal analysis by Fitzmaurice, Laird, and Ware.

!!!!Graphics

* Visualizing data by William S. Cleveland

* The elements of graphing data

* All of Tufte's work

!!!!Categorical data

* Categorical data analysis, by Alan Agresti

* An introduction to categorical data analysis by Alan Agresti.

* Applied categorical data analaysis, by Chap Le.