Linar mixed models - resources

Linar mixed models - resources

West, Galecki: Practical Approach

Linear Mixed Models: A Practical Guide Using Statistical Software

http://books.google.com/books?id=LSJ__7lDSdgC&printsec=frontcover&dq=west+galecki&ei=nPzOR7f0OJy8zATGpqmwBQ&sig=rI8DjvFAgy8W-5lcgbZX0WZTiXY
book-accompanying site with datasets, code, errata etc
http://www-personal.umich.edu/~bwest/almmussp.html


books google: Designing Experiments and Analyzing Data....
http://books.google.com/books?id=h-bMhmQMifsC&printsec=frontcover&dq=designing+experiments+and+analyzing+data&ei=pxfQR6mWHJPAzATw04iwBQ&sig=DlC1utBSuL1magJSjkdDxa-_-xw#PRA2-PA145,M1
- provides explanation of both ANOVA based mixed models with univariate and multivariate approach, as well as linear mixed models in the frame of multilevels modeling (chapters ,,,,)
- uses some mathematics, but in aN understandable form.

LIST of from site dedicated to HIERARCHICAL modeling
http://www.hlm-online.com/books/


multilevel data analysis - from basics - WEBCAST by Leroux
uwtv.org Multilevel data analysis


www.geocities.com/joophox/publist/whenwhy.pdf


Gelman

Data Analysis Using Regression and Multilevel/Hierarchical Models

Eugen Demidenko LMM: Theory and Application

MULTILEVEL MODELING - SOFTWARE
http://www.cmm.bristol.ac.uk/learning-training/multilevel-m-software/index.shtml

MM and R
http://www.cmm.bristol.ac.uk/learning-training/multilevel-m-software/r.shtml
package lme (Pinheiro, Bates 2000)
more recent version - lmer, lme4 (2005)
www.r-project.org/doc/Rnews/Rnews_2005-1.pdf

for Splus, R by Fox (2002)
cran.r-project.org/doc/contrib/Fox-Companion/appendix-mixed-models.pdf

LINEAR MIXED MODELS
http://www2.chass.ncsu.edu/garson/pa765/multilevel.htm
no mathematical formulas
mainly refers to SPSS, but can can be useful as introduction for any platform

Hubbard Alan longitudinal data analysis
marginal models, generalized estimating equations GEE, with different link functions - Poisson regression etc.
provides lecture notes, and chapters from his textbook on the analysis of longitudinal data (quite readable, but at moments requires to think about vectors, matrix albebra etc., last chapter on Mixed models is not (yet?) available online), includes examples of code for STATA, SAS.



www.nyu.edu/its/socsci/Docs/SPSSMixed.ppt
comparison of mixed models with GLM - some formulas, many PRACTICAL points

www.spss.ch/upload/1107355943_LinearMixedEffectsModelling.pdf

www.spss.ch/upload/1126184451_Linear%20Mixed%20Effects%20Modeling%20in%20SPSS.pdf

gsic.syr.edu/manuals/spss/SPSS%20Advanced%20Models%2015.0.pdf

longitudinal data analysis - mixed models,

COURSES
ONLINE -
statistics.com - Galecki see above - also author of a textbook
www.statistics.com/ourcourses/mixedmodels/
also check - http://www.hlm-online.com/books/

http://www.csc.fi/english/csc/courses/archive/GLM2008
september 2008 - helsinki - Mixed models in R

MAXIMUM LIKELIHOOD ESTIMATION
explained - BGIM - Purcell
http://statgen.iop.kcl.ac.uk/bgim/mle/sslike_1.html


http://tigger.uic.edu/~hedeker/ml.html
SAS, SPSS

PPT
blog.case.edu/jjw17/2006/04/27/ZyzanskiSeminar4bPowerpoint.ppt

SURVIVAL mixed models for survival analysis
doi.wiley.com/10.1002/bimj.4710390102
jas.fass.org/cgi/reprint/77/E-Suppl_2/147.pdf
http://www.ingentaconnect.com/content/bpl/biom/2001/00000057/00000001/art00012
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V8V-4KFV26C-1&_user=949847&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000049130&_version=1&_urlVersion=0&_userid=949847&md5=8f89a4cc66b9fe62715703c0323305f0
http://www.wiwi.uni-bielefeld.de/~kauermann/survival/kauermann.pdf
http://links.jstor.org/sici?sici=0006-341X(200103)57%3A1%3C96%3AMMFSAW%3E2.0.CO%3B2-M

generalized linear model

online courses
XXXXXXX generalized - for quantitative, categorical, binary, count data XXXXXXXXXXXXX
http://genetics.agrsci.dk/statistics/courses/phd07/
in R