Difference between revisions of "StatsWAP2009July17"
Jump to navigation
Jump to search
| Line 22: | Line 22: | ||
<ul> | <ul> | ||
<li>''Fitting Linear Mixed Models in R'' : http://cran.osmirror.nl/doc/Rnews/Rnews_2005-1.pdf#page=27 | <li>''Fitting Linear Mixed Models in R'' : http://cran.osmirror.nl/doc/Rnews/Rnews_2005-1.pdf#page=27 | ||
| + | <li>''Using R and lmer to fit linear mixed models with crossed random effects'' : http://www.stat.wisc.edu/~burgette/lme4-4.pdf | ||
</ul> | </ul> | ||
Revision as of 19:36, 17 July 2009
<meta name="title" content="July 17, 2009"/>
Mixed Effects Models 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
Laboratory of Personality and Cognition - http://www.grc.nia.nih.gov/branches/lpc/lpc.htmv
Cognition section - http://www.grc.nia.nih.gov/branches/lpc/sresnick.htm
Mixed effects models (continuous outcomes) - also known as random effects models
Generalized estimating equations (discontinuous outcomes)
General topics
- Ordinary regression model - each data point comes from a separate "person" - L2 fit - Fixed effects
- ME model - each subject has its own slope. Find population slope.
- REML - restricted maximum likelihood -- preferred for model estimation. Not suitable for model comparison with differing random effects.
- Empirical Bayes (EB) for estimation of individual trajectories
Links about R
- Fitting Linear Mixed Models in R : http://cran.osmirror.nl/doc/Rnews/Rnews_2005-1.pdf#page=27
- Using R and lmer to fit linear mixed models with crossed random effects : http://www.stat.wisc.edu/~burgette/lme4-4.pdf
