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Jan d. Leeuw

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
Area:
Statistics, Epidemiology
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"Jan Leeuw"
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Children

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Vanessa C. Beddo grad student 2003 UCLA
Elizabeth E Bruch grad student 2006 (SocTree)
Ya-Ching Hsieh grad student 2007 UCLA
Denise B. Ferrari grad student 2010 UCLA
Mine Cetinkaya grad student 2011 UCLA
Michael A. Karsh grad student 2011 UCLA
Wei T. Tsai grad student 2011 UCLA
Irina A. Kukuyeva grad student 2012 UCLA
Colin W. Rundel grad student 2012 UCLA
Jason T. Somerville grad student 2012 UCLA
Sean E. Wang grad student 2013 UCLA
Masanao Yajima grad student 2013 UCLA

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Publications

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Mair P, Leeuw Jd. (2010) A General Framework for Multivariate Analysis with Optimal Scaling: The R Package aspect Journal of Statistical Software. 32: 1-23
Leeuw Jd, Hornik K, Mair P. (2009) Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods Journal of Statistical Software. 32: 1-24
Leeuw Jd, Mair P. (2009) Simple and Canonical Correspondence Analysis Using the R Package anacor Journal of Statistical Software. 31: 1-18
Leeuw Jd, Mair P. (2009) Gifi Methods for Optimal Scaling in R: The Package homals Journal of Statistical Software. 31: 1-21
Leeuw Jd, Mair P. (2009) Multidimensional Scaling Using Majorization: SMACOF in R Journal of Statistical Software. 31: 1-30
Leeuw Jd. (2006) Robust Statistical Methods with R Journal of Statistical Software. 16: 1-2
Leeuw Jd. (2006) Comments on Pardoe and Weitner: sentencing convicted felons in the United States: a Bayesian analysis using multilevel covariates Journal of Statistical Planning and Inference. 136: 1466-1468
Leeuw Jd. (2006) Principal component analysis of binary data by iterated singular value decomposition Computational Statistics & Data Analysis. 50: 21-39
Berk RA, Leeuw Jd. (1999) An Evaluation of California's Inmate Classification System Using a Generalized Regression Discontinuity Design Journal of the American Statistical Association. 94: 1045-1052
Leeden Rvd, Vrijburg K, Leeuw Jd. (1996) A review of two different approaches for the analysis of growth data using longitudinal mixed linear models: comparing hierarchical linear regression (ML3, HLM) and repeated measures designs with structured covariance matrices (BMDP5V) Computational Statistics & Data Analysis. 21: 583-605
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