* denotes equal contribution; # denotes student author.

Under Review

  1. Garcia, T.P. and Parast, L. (2018+). Dynamic landmark prediction for genetic mixture models.
  2. Wei, Y.#, Ma, Y., Garcia, T.P. and Sinha, S. (2018+). Double blind review.
  3. Dutra, J.R.*, Garcia, T.P.*, Marder, K. (2018+). Huntington's Disease. In Oxford Textbook of Neurological and Neuropsychiatric Epidemiology, editors Carol Brayne, Valery Feigin, Lenore Launer, and Giancarlo Logroscino.

Published/In Press

  1. Garcia, T.P., Marder, K. and Wang, Y. (2018). Time-varying Proportional Odds Model for Mega-analysis of Clustered Event Times. In Press with Biostatistics.
  2. Garcia, T.P. and Ma, Y. (2017). Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models. The Journal of Econometrics, 200, 194-206.
  3. Garcia, T.P., Ma, Y., Marder, K. and Wang, Y. (2017). Robust mixed-effects model for clustered failure time data: application to Huntington's disease event measures. Annals of Applied Statistics, 11, 1085-1116.
  4. Garcia, T.P. and Marder, K. (2017). Statistical Approaches to longitudinal data analysis in neurodegenerative diseases: Huntington's Disease as a model. Current Neurology and Neuroscience Reports, 17:14, DOI 10.1007/s11910-017-0723-4.
  5. Garcia, T.P., Marder, K. and Wang, Y. (2017). Statistical modeling of Huntington disease onset. In Handbook of Clinical Neurology, 3rd Series, editors Andrew Feigin and Karen E. Anderson.
  6. Garcia, T.P.* and Müller, S.* (2016). Cox regression with exclusion frequency-based weights to identify neuroimaging markers relevant to Huntington's disease onset. Annals of Applied Statistics, 10(4), 2130-2156.
  7. Kohli, P., Garcia, T.P. and Pourahmadi, M. (2016). Linear models for cholesky factors of covariance matrices of multivariate longitudinal data. Journal of Multivariate Analysis, 145,87-100. R codes.
  8. Garcia, T.P. and Ma, Y. (2015). Optimal estimator for logistic model with distribution-free random intercept. Scandinavian Journal of Statistics, 43,156-171.
  9. Qin, J.*, Garcia, T.P.*, Ma, Y., Ming-Xin, T., Marder, K. and Wang, Y. (2014). Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint and unknown genotypes. Annals of Applied Statistics, 8, 1182-1208. R codes.
  10. Garcia, T.P. and Müller, S. (2013). Influence of measures of significance-based weights in the weighted Lasso. Journal of the Indian Society of Agricultural Statistics (Invited paper), 68, 131-144. R codes.
  11. Garcia, T.P., Müller, S., Carroll, R.J., and Walzem, R.L. (2013). Identification of important regressor groups, subgroups, and individuals via regularization methods: application to gut microbiome data. Bioinformatics, DOI: 10.1093/bioinformatics/btt608. R codes and instructions.
  12. Garcia, T.P., Müller, S., Carroll, R.J., Dunn, T.N., Thomas, A.P., Adams, S.H., Pillai, S.D., and Walzem, R.L. (2013). Structured variable selection with q-values. Biostatistics, DOI:10.1093/biostatistics/kxt012. R codes.
  13. Wang, Y., Garcia, T.P., and Ma, Y. (2012). Nonparametric estimation for censored mixture data with application to the Cooperative Huntington's Observational Research Trial. JASA, 107, 1324-1338. R codes.
  14. Garcia, T.P., Kohli, P., Pourahmadi, M. (2012). Regressograms and mean-covariance models for incomplete longitudinal data. The American Statistician, 66, 85-91. R codes.
  15. Ye, F., Garcia, T.P., Pourahmadi, M., and Lord, D. (2012). Extension of a negative binomial GARCH model: analyzing the effects of gasoline price and VMT on DUI fatal crashes in Texas. Transportation Research Record: Journal of the Transportation Research Board, 2279, 31-39. R codes.
  16. Garcia, T.P., Ma, Y., and Yin, G. (2011). Efficiency improvement in a class of survival models through model-free covariate incorporation. Lifetime Data Analysis, 17, 552-565.
  17. Barber, J., Bose, C., Bourlioux, A., Braun, J., Brunelle, E., Garcia, T., Hillenk, T., and Ong, B. (2009). Burning issues with PROMETHEUS, the Canada's wildfire growth simulator. Canadian Applied Mathematics Quarterly.
  18. Garcia, T., Braun, J., Bryce, R., and Tymstra C. (2008). Smoothing and bootstrapping the PROMETHEUS fire growth model. Environmetrics , 19, 1-13.
 
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