Difference between revisions of "StatsWAP"
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==Future Seminars== | ==Future Seminars== | ||
<h3>“Mixed Effects Models and correcting for Multiple Comparisons in MRI Research”</h3> | <h3>“Mixed Effects Models and correcting for Multiple Comparisons in MRI Research”</h3> | ||
| − | ''Time/Location:'' '''Friday, July 17, 2009 – 3 pm – 4 pm Clark Hall 314''' | + | ''Summer Seminar Series:'' '''Statistics without the Agonizing Pain (WAP Series)''' |
| − | ''Speaker:'' '''Yang An, National Institute on Aging - Intramural Research Program''' | + | <br>''Time/Location:'' '''Friday, July 17, 2009 – 3 pm – 4 pm Clark Hall 314''' |
| + | <br>''Speaker:'' '''Yang An, National Institute on Aging - Intramural Research Program''' | ||
<h3>“Nonlinear Regression Models”</h3> | <h3>“Nonlinear Regression Models”</h3> | ||
| − | ''Time/Location:'' '''Friday, August 7, 2009 – 3 pm – 4 pm Clark Hall 314''' | + | ''Summer Seminar Series:'' '''Statistics without the Agonizing Pain (WAP Series)''' |
| − | ''Speaker:'' '''Brian Caffo, Department of Biostatistics, Bloomberg''' | + | <br>''Time/Location:'' '''Friday, August 7, 2009 – 3 pm – 4 pm Clark Hall 314''' |
| + | <br>''Speaker:'' '''Brian Caffo, Department of Biostatistics, Bloomberg''' | ||
==Previous Seminars== | ==Previous Seminars== | ||
<h3>“Introduction to Statistical Analysis with R”</h3> | <h3>“Introduction to Statistical Analysis with R”</h3> | ||
| − | ''Time/Location:'' '''Friday, June 16, 2009 – 3 pm – 4 pm Clark Hall 314''' | + | ''Summer Seminar Series:'' '''Statistics without the Agonizing Pain (WAP Series)''' |
| − | ''Speaker:'' '''Youngser Park, Center for Image Science, JHU''' | + | <br>''Time/Location:'' '''Friday, June 16, 2009 – 3 pm – 4 pm Clark Hall 314''' |
| + | <br>''Speaker:'' '''Youngser Park, Center for Image Science, JHU''' | ||
''Please join us for the second tutorial seminar series on statistical analysis. Youngser will provide tutorial overview on using the R statistical package for statistical analysis. Bring your laptop with R installed and follow along! Link to R: http://www.r-project.org/'' | ''Please join us for the second tutorial seminar series on statistical analysis. Youngser will provide tutorial overview on using the R statistical package for statistical analysis. Bring your laptop with R installed and follow along! Link to R: http://www.r-project.org/'' | ||
Revision as of 20:02, 26 June 2009
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Statistics Without the Agonizing Pain (WAP Series)
Future Seminars
“Mixed Effects Models and correcting for Multiple Comparisons in MRI Research”
Summer Seminar Series: Statistics without the Agonizing Pain (WAP Series)
Time/Location: Friday, July 17, 2009 – 3 pm – 4 pm Clark Hall 314
Speaker: Yang An, National Institute on Aging - Intramural Research Program
“Nonlinear Regression Models”
Summer Seminar Series: Statistics without the Agonizing Pain (WAP Series)
Time/Location: Friday, August 7, 2009 – 3 pm – 4 pm Clark Hall 314
Speaker: Brian Caffo, Department of Biostatistics, Bloomberg
Previous Seminars
“Introduction to Statistical Analysis with R”
Summer Seminar Series: Statistics without the Agonizing Pain (WAP Series)
Time/Location: Friday, June 16, 2009 – 3 pm – 4 pm Clark Hall 314
Speaker: Youngser Park, Center for Image Science, JHU
Please join us for the second tutorial seminar series on statistical analysis. Youngser will provide tutorial overview on using the R statistical package for statistical analysis. Bring your laptop with R installed and follow along! Link to R: http://www.r-project.org/ Notes
“Discussion on Model Selection for Neuroscience Research”
Summer Seminar Series: Statistics without the Agonizing Pain (WAP Series)
Time/Location: Friday, June 19, 2009 – 3 pm – 4 pm Clark Hall 314
Speaker: Daniel Q. Naiman, Department of Applied Mathematics and Statistics, JHU
Please join us for the first in our tutorial seminar series on statistical analysis. Our first section, hosted by Dr. Dan Naiman, will provide an informal discussion on statistical model selection. Dr. Naiman lead an discussion on how one might quantitatively (and qualitatively) choose between possible models. Questions are welcome from both supervised and fully-automatic perspectives.
