Publications

Referred Articles (Published and Accepted)

Hathout, Y, Liang, C., Ogundele, M., Xu, G., Tawalbeh, S.M., Dang, U.J., Hoffman, E. P., Gordish-Dressman, H., Conklin, L. S., van den Anker, J. N., Clemens, P. R., Mah, J. K., Henricson E., and McDonald, C. (2019) Disease-specific and glucocorticoid-responsive serum biomarkers for Duchenne Muscular Dystrophy. (in press).

Sun, M., Shi, Y., Dang, U. J., & Di Pasqua, A. J. (2019). Phenethyl Isothiocyanate and Cisplatin Co-Encapsulated in a Liposomal Nanoparticle for Treatment of Non-Small Cell Lung Cancer. Molecules, 24(4), 801.

Furman, B. L., Dang, U.J., Evans, B. J., & Golding, G.B. (2018). Divergent subgenome evolution after allopolyploidization in African clawed frogs (Xenopus). Journal of Evolutionary Biology, 31(12), 1945–1958.

Mogle B, Seabury R, Dang U.J., Kufel W,  and Steele J. (2018) Implementation of a two-point pharmacokinetic AUC-based vancomycin therapeutic drug monitoring approach in patients with methicillin-resistant Staphylococcus aureus bacteremia. International Journal of Antimicrobial Agents 52(6), 805–810.

Dang, U. J., Punzo, A., McNicholas, P. D., Ingrassia, S., and Browne, R. P. (2017) `Multivariate response and parsimony for Gaussian cluster-weighted models’.  Journal of Classification. 34 (4), 4–34. [doi]

Dang, U. J., Alison M Devault, Tatum D Mortimer, Caitlin S Pepperell, Hendrik N Poinar, G Brian Golding and Golding, G. B. (2016), `Estimation of gene insertion/deletion rates with missing data’. Genetics 204 (2), 513529. [doi]

Dang, U. J., and Golding, G. B. (2016), `markophylo: Markov chain analysis on phylogenetic trees ‘, Bioinformatics 32 (1), 130–132. [doi]

Dang, U. J., Browne, R. P., and McNicholas, P. D. (2015), `Mixtures of multivariate power exponential distributions’, Biometrics 71, 1081–1089 . [doi].

Dang, U. J. and McNicholas, P. D. (2015), `Families of parsimonious finite mixtures of regression models’, In: Morlini, I., Minerva, T. and Vichi, M., editors, Statistical Models for Data Analysis, Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing Switzerland. [doi]

Dang, U. J. and Bauch, C. T. (2011), `Can interactions between timing of vaccine-altered influenza pandemic waves and seasonality in influenza complications lead to more severe outcomes?’, PLoS ONE 6(8): e23580.

Dang, U. and Bauch, C. T. (2010), `A population biological approach to the collective dynamics of countries undergoing demographic transition’, Journal of Theoretical Biology 265(2), 167–176.


Software

Utkarsh J. Dang, Michael P. B. Gallaugher, Ryan P. Browne, and Paul D. McNicholas (2019). mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification. Package.

Utkarsh J. Dang and G. Brian Golding (2016). indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data. Package.

Utkarsh J. Dang and G. Brian Golding (2015). markophylo: Markov Chain Models for Phylogenetic Trees. Package. Vignette


Referred Articles (Submitted and in preparation)

Dang, U.J., Gallaugher, M. P. B., Browne, R. P., and McNicholas, P. D. `Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions’.

Dang, U.J., Browne, R. P., and McNicholas, P. D. `Model-based clustering using mixtures of multivariate symmetric Kotz-type distributions’.

Dang, U. J. and McNicholas, P. D. `Accelerated failure time models for competing risks in a cluster-weighted modelling framework’.


Non-refereed contributions

Dang, U. J. (2014). Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models. University of Guelph.

Dang, U. J. (2011). Interactions Between Immunization Strategies and Pandemic Influenza Associated Severe Outcomes. University of Guelph.