Lab Director

Gitta Lubke

Graduate Students

Ian Campbell                           Justin Luningham

Alumni

Daniel McArtor                              Patrick Miller

Charles Laurin                          Raymond Walters

Stephen Tueller

Gitta Lubke

Research Interests

    Gitta Lubke's area of research is in the field of general latent variable modeling and cluster analysis. In addition to the analysis of complex phenotypes (e.g., attention problems), she is interested in the analysis of genetic data. A new topic is the development of multivariate methods for genome-wide association studies (GWAS). Other areas of expertise include twin models, measurement invariance, multi-group factor analysis, longitudinal analyses, and the analysis of categorical data.

Recent Papers

  • Lubke, G. H., Miller, P. J., Verhulst, B., Bartels, M., van Beijsterveldt, T., Willemsen, G., ... & Middeldorp, C. M. (2015). A powerful phenotype for gene‐finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
  • Laurin, C. A., Hottenga, J. J., Willemsen, G., Boomsma, D. I., & Lubke, G. H. (2015). Genetic Analyses Benefit From Using Less Heterogeneous Phenotypes: An Illustration With the Hospital Anxiety and Depression Scale (HADS). Genetic epidemiology, 39(4), 317-324.
  • de Zeeuw, E. L., van Beijsterveldt, C. E., Lubke, G. H., Glasner, T. J., & Boomsma, D. I. (2015). Childhood ODD and ADHD Behavior: The Effect of Classroom Sharing, Gender, Teacher Gender and Their Interactions. Behavior genetics, 1-15.
  • Lubke, G. H., & Miller, P. J. (2015). Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modeling. Psychological medicine, 45(04), 705-715.
  • van Beek, J. H., Lubke, G. H., de Moor, M. H., Willemsen, G., de Geus, E. J., Hottenga, J. J., ... & Boomsma, D. I. (2014). Heritability of liver enzyme levels estimated from genome-wide SNP data. European Journal of Human Genetics.
  • Lubke, G., & McArtor, D. (2014). Multivariate Genetic Analyses in Heterogeneous Populations. Behavior genetics, 44(3), 232-239.
  • Lubke, G. H., Laurin, C., Amin, N., Hottenga, J. J., Willemsen, G., van Grootheest, G., ... & Boomsma, D. I. (2014). Genome-wide analyses of borderline personality features. Molecular psychiatry, 19(8), 923-929.
  • Lubke, G. H., Laurin, C., Walters, R., Eriksson, N., Hysi, P., Spector, T. D., ... & Boomsma, D. I. (2013). Gradient boosting as a SNP filter: An evaluation using simulated and hair morphology data. Journal of data mining in genomics & proteomics, 4.
  • Walters R, Laurin C, Lubke GH (2012) An Integrated Approach to Reduce the Impact of Minor Allele Frequency and Linkage Disequilibrium on Variable Importance Measures for Genome-Wide Data. Bioinformatics, 28(20), 2615-2623.
  • Lubke GH, Hottenga JJ, Walters R, Laurin, C, de Geus EJC, Willemsen G, Smit HJ, Middeldorp C, Penninx BWJH, Vink J, Boomsma DI (2012). Estimating the genetic variance of Major Depressive Disorder (MDD) due to all SNPs. Biological Psychiatry
  • Lubke GH, Stephens SH, Lessem JM, Hewitt JK, Ehringer MA (2012) The CHRNA5/A3/B4 gene cluster and tobacco, alcohol, cannabis, inhalants, and other substance use initiation: Replication and new findings using mixture analyses. Behavior Genetics. 2012 Mar 1. [Epub ahead of print] PMID: 22382757
  • Gillespie NA, Lubke GH, Gardner CO, Neale MC, Kendler KS. Two-part random effects growth modeling to identify risks associated with alcohol and cannabis initiation, initial average use and changes in drug consumption in a sample of adult, male twins. Journal of Drug and Alcohol Dependence. 2011 Dec 14. [Epub ahead of print] PMID: 22177896
  • Robbers SC, van Oort FV, Polderman TJ, Bartels M, Boomsma DI, Verhulst FC, Lubke GH, Huizink AC (2011). Trajectories of CBCL Attention Problems in Childhood, European Child & Adolescent Psychiatry, 20(8): 419-27. Epub 2011 Jun 29. PMID: 21713506
  • Lu ZL, Zhang Z, Lubke GH (2011). Bayesian Inference For Growth Mixture Models With Latent-Class-Dependent Missing Data. Multivariate Behavioral Research, 46:567-597.
  • Distel MA, Carlier A, Middeldorp CM, Derom CA, Lubke GH, Boomsma DI. (2011). Borderline personality traits and adult attention-deficit hyperactivity disorder symptoms: A genetic analysis of comorbidity. Am J Med Genet Part B 156:817–825. PMID: 21812103
  • Tueller S, Drotar S, Lubke GH (2011). Addressing the problem of switched class labels in latent variable mixture model simulations studies. Structural Equation Modeling 18:110-131.

Curriculum Vitae
Departmental Webpage
Research Gate
Email: glubke@nd.edu

Graduate Students

 

Ian Campbell

Education

  • Baylor University

Research Interests

    I am interested in the impact of model selection on Type I Error rates, replication, and statistical power. I am also studying how Event History Analysis can be used as a tool for identifying children at risk of developing ADHD and Conduct Disorder.

Departmental Webpage
Research Gate
Email: icampbel@nd.eduicampbel@nd.edu

 

Justin Luningham

Education

  • Baylor University

Research Interests

    Justin is interested in studying the processes through which the social and cultural environment influence child development and familiy functioning, particularly for populations more susceptible to psychopathology or maladjustment. He is also interested in cross-cultural comparisons of human development. He hopes to ultimately conduct research that can translate to improved intervention strategies for at-risk children, youth, and families.

Departmental Webpage
Email: jluningh@nd.edu

Alumni

Daniel McArtor

Education

  • Ph.D., Quantitative Psychology
    University of Notre Dame, 2017
  • M.S., Applied and Computational Mathematics and Statistics
    University of Notre Dame, 2015
  • B.A., Psychology
    University of Virginia, 2012

Research Interests

    My primary research interest is the development of methods that can be used to model multivariate outcome data without relying on the assumptions that underlie many common statistical tools. My dissertation research focuses on Multivariate Distance Matrix Regression, a flexible person-centered alternative to multivariate multiple regression and MANOVA that was originally proposed to model non-normal multivariate outcomes. I also enjoy developing multivariate extensions to data mining tools that were originally designed to model univariate outcomes in a completely data-driven fashion.

Links

 

Patrick Miller

Education

  • University of Kansas

Research Interests

    Developing and applying statistical learning and computational methods for high dimensional data. In particular, I focus on understanding the impact of genetics on psychological traits and behavior using methods such as gradient boosting.

Software

Departmental Webpage
Research Gate
Email: pmille13@nd.edu

 

Charles Laurin

Raymond Walters

Stephen Tueller