Lab Director
Graduate Students
Alumni
Charles Laurin Raymond Walters
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
-
View CV (May 2017)
LinkedIn Profile
R Packages: MDMR, MVLM
Email: dmcartor@gmail.com
Patrick Miller
Education
- University of Kansas
Research Interests
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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