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        <description>Bayesian in press

Bayes Offers a 'New' Way to Make Sense of Numbers

Adding Art to the Rigor Of Statistical Science</description>
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        <description>Article citing BAUW

	*  Zhang, Z., Hamagami, F., Wang, L., Grimm, K. J., &amp; Nesselroade, J. R. (2007). Bayesian analysis of longitudinal data using growth curve models. International Journal of Behavioral Development, 31(4), 374-383.
	*  Common polymorphisms in the folate pathway predict efficacy of combination regimens containing methotrexate and sulfasalazine in early rheumatoid arthritis. Heather M James, David Gillis, Pravin Hissaria, Susan Lester, Andrew A Somogyi, Leslie G Cleland, and Sus…</description>
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        <description>Mplus scripts for estimating the quadratic growth rate models</description>
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        <dc:date>2012-03-06T10:36:07-04:00</dc:date>
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        <description>Lab for Developmental and Health Research Methodology

Overview of our research

Our lab aims to develop and apply statistical methods in the areas of developmental and health research. 


Current Members

	*  Peggy Wang
	*  Johnny Zhang
	*  Xin (Cynthia) Tong
	*  Qian (Jackie) Zhang</description>
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        <description>Research interests

Methodologically, my research interests include (1) continuous and categorical dynamic factor models and nonlinear time series models, (2) linear and nonlinear models for analyzing longitudinal data, (3) dynamical systems analysis, and (4) Bayesian methods and statistical computing. From a substantive perspective, I am interested in the analysis of intraindividual change and interindividual differences in change of life span development, cognitive aging, and emotion.</description>
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        <title>research:lab</title>
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        <description>Lab for Developmental and Health Research Methodology

Overview of our research

Our lab aims to develop and apply statistical methods in the areas of developmental and health research. 


Current Members

	*  Peggy Wang
	*  Johnny Zhang
	*  Xin (Cynthia) Tong
	*  Qian (Jackie) Zhang
	*  Zhe (Jesse) Wang</description>
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        <dc:date>2011-05-19T17:20:00-04:00</dc:date>
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        <description>Supplementary materials for Lu, Zhang, &amp; Lubke (2011)

OpenBUGS codes for real data analysis

	*  MNAR analysis
##############################################
##    GMM with non-ignorable missingdata    ##   
##############################################
     
model {
      ########################
      ##         model        
      ########################
      for( i in 1:N )  {      
          # --------- Model the latent mixture, parameter: lambda.---------
          z[i] ~ dcat(lambda[i…</description>
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        <dc:date>2009-02-05T11:12:15-04:00</dc:date>
        <title>research:peggy_wang</title>
        <link>http://nd.psychstat.org/research/peggy_wang</link>
        <description>Research interests

Lijuan Peggy Wang's research interests are in the areas of longitudinal data
analysis and mixed-effects modeling. She is also interested in psychological and educational measurement. Her current research project involves developing and applying models for multivariate nonnormal data such as longitudinal ceiling data and multivariate zero-inflated count data.</description>
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