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.
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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[[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.
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- 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.