MIND Lab

Methods for INcomplete Data (MIND)

MIND Lab

List of Publications

Blue denotes co-author was a trainee.

    Under Review

  1. Lee, S.*, Richardson, B.D.* (*denotes shared first authorship), Ma, Y., Marder, K., and Garcia, T.P. Robust and efficient estimation in the presence of a randomly right-censored covariate.
  2. Vazquez, J.E., Ashner, M.C., Ma, Y., Marder, K., and Garcia, T.P. Establishing the Parallels and Difference between Right-Censored and Missing Covariates.
  3. Davidson, M.A., Van Mullekom, J.H., Baker, J., Burke, S., Enders, F.T., Garcia, T.P., Hanlon, A.L., Lozano, A.J., Lyons, G.R., Mandrekar, S.J., Ortega-Villa, A.M., Percival, S., Pomann, G.M., Ratcliffe, S.J., and Sebro, R. Completing the PROPEL Model: Organizational Solutions and Best Practices to Achieve Historically Marginalized Group Equity in Collaborative Statistics and Data Science Unit.
  4. Van Mullekom, J.H., Davidson, M.A., Baker, J., Burke, S., Enders, F.T., Garcia, T.P., Hanlon, A.L., Lozano, A.J., Lyons, G.R., Mandrekar, S.J., Ortega-Villa, A.M., Percival, S., Pomann, G.M., Ratcliffe, S.J., and Sebro, R. Forming the Foundations of PROPEL: Challenges and Solutions Relative to Power Bases for Historically Marginalized Group Equity in Collaborative Statistics and Data Science.
  5. Bradley, C., Ashner, M.C., Kepner, M., Garcia, T.P., Grosser, K.F., Hightshoe, K., Moody, E., Powell, P., Reyes, N., Rosenberg, S., Tapia, A., Wiggins, L., and Daniels, J. Changes over time in maternal ideas about the causes of autism or developmental problems.
  6. Sokol, L., Ashner, M.C., Bega, D., Kluger, B., Marder, K., and Garcia, T.P. Spiritual Well-Being and Phenoconversion in Huntington disease: Analysis from PHAROS.
  7. Lotspeich, S.C. and Garcia, T.P. Escaping the trap: Replacing the trapezoidal rule to better impute censored covariates with their conditional means.
  8. Dichter, G., Grosser, K.F., Cummings, K., Bradley, C., Garcia, T.P, Tapia, A.L., Pretzel, B., Moody, E.M., Barger, B., Reyes, N.M., Wiggins, L., Fallin, D., Daniels, J.L. Changes in Autism Traits from Early Childhood to Adolescence in the Study to Explore Early Development.
  9. Elfassy, T., Dodds, L., Mesa, R.A., Rundek, T., Sharashidze, V., Paidas, M., Daviglus, M., Kominiarek, M.A., Perreira, K.M., Kobayashi, M.A., Stickel, A., Garcia, T.P., Isasi, C.R., Lipton, R.B., and Kulandavelu, S. Associations between hypertensive disorders of pregnancy and cognitive decline, The Hispanic Community Health Study/Study of Latinos, 2008-2017.

    10. Published/In Press

    Methodology Papers

  10. Holcomb, D.A., Blackwood, A.D., Clerkind, T., Christensena, A., Guidrye, V.T., Harris, A., Hoffman, K., Kotlarz, N., Lee, A., Noble, R.T., Reckling, S., de los Reyes III, F.L., Serre, M.L., Garcia, T.P*, and Engel, L.S.* (*denotes shared senior authorship). Estimating Rates of Change to Interpret Quantitative Wastewater Surveillance of Disease Trends. Science of the Total Environment Journal, 951, 175687, doi: 10.1016/j.scitotenv.2024.175687.
  11. Loop, M.S., Lotspeich, S.C., Garcia, T.P, and Meyer, M.L. (2024). Accounting for changing error-prone devices when estimating the relationship between change in an exposure and an outcome. American Journal of Epidemiology, kwae169, doi: 10.1093/aje/kwae169.
  12. Lotspeich, S.C., Ashner, M.C., Vazquez, J.E., Richardson, B.D., Grosser, K.F., Bodek, B.E., and Garcia, T.P. (2024). Making sense of censored covariates: Statistical methods for studies of Huntington's disease. Annual Review of Statistics and Its Applications, 11, 255-277, doi: 10.1146/annurev-statistics-040522-095944.
  13. Ashner, M.C. and Garcia, T.P. (2023). Understanding the implications of a complete case analysis for regression models with a right-censored covariate. The American Statistician, 78, 335–344, doi: 10.1080/00031305.2023.2282629.
  14. Kim, R., Pourahmadi, M. and Garcia, T.P. (2023). A positive definite thresholding estimator of a covariance matrix and its asymptotic efficiency. Journal of Multivariate Analysis, 197, 105186, doi: 10.1016/j.jmva.2023.105186. R codes.
  15. Lotspeich, S.C., Grosser, K.F., and Garcia, T.P. (2022). Correcting conditional mean imputation for censored covariates and improving usability. Biometrical Journal, 64, 858-862, doi: 10.1002/bimj.202100250. R codes.
  16. Parast, L., Garcia, T.P., Carroll, R.J., and Prentice, R.L. (2022). Robust methods to correct for measurement error when evaluating a surrogate marker. Biometrics, 78, 9-23, doi: 10.1111/biom.13386. R codes.
  17. Kim, R., Müller, S. and Garcia, T.P. (2021). svReg: Structural Varying-coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups. Biometrical Journal, 63, 1254-1271. R codes.
  18. Lee, U., Carroll, R.J., Marder, K., Wang, Y. and Garcia, T.P. (2021). Estimating disease onset from change points of markers measured with error. Biostatistics, 22, 819-835, doi: 10.1093/biostatistics/kxz068. R codes.
  19. Garcia, T.P. and Parast, L. (2020). Dynamic landmark prediction for mixture models. Biostatistics , 22, 558-574, doi:10.1093/biostatistics/kxz052. R codes.
  20. Garcia, T.P., Marder, K. and Wang, Y. (2019). Time-varying Proportional Odds Model for Mega-analysis of Clustered Event Times. Biostatistics, 20, 129-146, doi: 10.1093/biostatistics/kxx065.
  21. Wei, Y., Ma, Y., Garcia, T.P. and Sinha, S. (2019). Consistent estimator for logistic mixed effect models. The Canadian Journal of Statistics, 47, 140-156, doi:10.1002/cjs.11482. R codes.
  22. 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.
  23. 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.
  24. 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. R codes.
  25. Kohli, P., Garcia, T.P. and Pourahmadi, M. (2016). Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data. Journal of Multivariate Analysis, 145, 87-100. R codes.
  26. Garcia, T.P. and Ma, Y. (2015). Optimal estimator for logistic model with distribution-free random intercept. Scandinavian Journal of Statistics, 43,156-171. R codes.
  27. Qin, J.*, Garcia, T.P.* (* denotes shared first authorship), 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.
  28. 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.
  29. 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, 15, 831-837, doi: 10.1093/bioinformatics/btt608. R codes.
  30. 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, 14, 695-707, doi: 10.1093/biostatistics/kxt012. R codes.
  31. 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. Journal of the American Statistical Association, 107, 1324-1338. R codes.
  32. 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.
  33. 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.
  34. 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.
  35. Barber, J., Bose, C., Bourlioux, A., Braun, J., Brunelle, E., Garcia, T.P., Hillenk, T., and Ong, B. (2009). Burning issues with PROMETHEUS, the Canada's wildfire growth simulator. Canadian Applied Mathematics Quarterly, 16, 337-378.
  36. Garcia, T.P., Braun, J., Bryce, R., and Tymstra C. (2008). Smoothing and bootstrapping the PROMETHEUS fire growth model. Environmetrics , 19, 1-13, doi: 10.1002/env.907.

    37. Applied Papers

  37. Liu, M.M., Wassim, T., Li, L., Dow, W.H., Llibre, J., Gallo, L., Perreira, K.M., Lamar, M., Daviglus, M.L., Testai, F., Garcia, T.P, Isasi, C., Lipton, R., Hector, G., and Stickel, A. (2024). Influence of birthplace and age at migration on cognitive performance and decline among Hispanic/Latino populations in the U.S.: Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA). The Gerontologist, in press.
  38. Zhang, Y., Daniels, J., Engel, S., Marshall, S., O'Shea, M., Garcia, T.P., and Schieve, L. (2024). Malpresentation and autism spectrum disorders in the study to explore early development. Paediatric and Perinatal Epidemiology, 38, 397-407. doi:10.1111/ppe.13082.
  39. Lu, Y., Pike, J., Hoogeveen, R., Walker, K.A., Raffield, L., Selvin, E., Avery, C., Engel, S.E., Mielke, M.M., Garcia, T.P, and Palta, P.(2024). Nonalcoholic fatty liver disease and longitudinal change in imaging and plasma biomarkers in Alzheimer's and vascular pathology. Neurology, 102, e209203, doi: 10.1212/WNL.0000000000209203.
  40. Senn, M.K., Momin, S.R., Ramesh, G., Allison, M.A., Graff, M., Young, K.L., Goodarzi, M.O., Talvera, G.A., McClain, A.C., Mossavar-Rahmani, Y., Garcia, T.P., and Wood, A.C. (2024). Preliminary Evidence that Habitual Avocado intake is Associated with Better Postprandial, but not Fasting, Glycemic Control in Individuals with Type 2 Diabetes: Cross-sectional Results from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL). Nutrition, Metabolism and Cardiovascular Diseases, 33, 2428-2439, doi: 10.1016/j.numecd.2023.08.002.
  41. Lu, Y., Pike, J., Hoogeveen, R., Walker, K.A., Raffield, L., Selvin, E., Avery, C., Engel, S.E., Mielke, M.M., Garcia, T.P, and Palta, P. (2024). Liver integrity over the adult lifespan and the risk of Alzheimer's disease and related dementias. Alzheimer's and Dementia, doi: 10.1002/alz.13601.
  42. Parada, H. Jr., Pichardo, M., Gallo, L.C., Talavera, G.A., McDaniels-Davidson, C., Penedo, F.J., Lee, D.J., Tarraf, W., Garcia, T.P., Daviglus, M.L., González, H.M. (2023). Neurocognitive Test Performance following Cancer among Middle-Aged and Older Adults in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and the SOL-Investigation of Neurocognitive Aging Ancillary Study. Cancer Medicine, 12, 11860-11870, doi: 10.1002/cam4.5863.
  43. Pichardo, C.M., Pichardo, M.S., Gallo, L.C., Talavera, G.A., Sanchez-Johnsen, L.A.P, Pirzada, A., Chambers, E.C., Roy, A.L., Castañeda, S.F., Durazo-Arvizu, R.A., Perreira, K.M., Garcia, T.P., Rodriguez, C., Allison, M., Carlson, J. Daviglus, M.L., and Plascak, J.J. (2023). Association of Neighborhood Segregation with 6-Year Incidence of Metabolic Syndrome in the Hispanic Community Health Study/ Study of Latinos, Annals of Epidemiology, 78, 1-8, doi: 10.1016/j.annepidem.2022.11.003.
  44. Zhang, Y., Elgart, M., Granot-Hershkovitz, E., Wang, H., Tarraf, W., Ramos, A.R., Stickel, A.M., Zeng, D., Garcia, T.P. , Testai, F.D., Wassertheil-Smoller, S., Isasi, C.R., Daviglus, M.L., Kaplan, R., Fornage, M., DeCarli, C., Redline, S., Gonzalez, H. and Sofer, T. (2023). Genetic associations t between sleep traits and cognitive aging outcomes in the Hispanic Community Health Study/Study of Latinos. eBioMedicine, 87, 104393, doi:10.1016/j.ebiom.2022.104393.
  45. Granot-Hershkovitz, E., He, S., Bressler, J., Yu, B., Boerwinkle, E., Tarraf, W., Rebholz, C.M., Mosley, T., Kristal, B., DeCarli, C., Fornage, M., Chen, G., Qi, Q., Kaplan, R., Garcia, T.P., Gonzalez, H.M., Sofer, T. (2023). Plasma metabolites associated with cognitive function across race/ethnicities affirming the importance of healthy nutrition, Alzheimer's and Dementia: The Journal of the Alzheimer's Association, 19, 1331-1342, doi: 10.1002/alz.12786.
  46. Lee, U., Garcia, T.P., Carroll, R.J., Gilbreath, K. and Wu, G. (2019). Analysis of repeated measures data in nutrition research. Frontiers in Bioscience, 24, 1378-1390.
  47. Shipp, E., Vasudeo, S., Trueblood, A. and Garcia, T.P.. (2019). Single Logging Vehicle Crashes and Variables Associated with Injury in Louisiana. Journal of AgroMedicine, 24, 177-185. doi: 10.1080/1059924X.2019.1567422.
  48. Garcia, T.P., Wang, Y., Shoulson, I., Paulsen, J.S., and Marder, K. (2018). Disease progression in Huntington Disease: an analysis of multiple longitudinal outcomes. Journal of Huntington Disease, 7, 337-344, doi: 10.3233/JHD-180297.
  49. 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.

    50. Book Chapters

  50. Dutra, J.R.*, Garcia, T.P.* (* denotes shared first authorship), Marder, K. (2018). Huntington's Disease. In Oxford Textbook of Neurological and Neuropsychiatric Epidemiology, editors Carol Brayne, Valery Feigin, Lenore Launer, and Giancarlo Logroscino, doi: 10.1093/med/9780198749493.001.0001.
  51. 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, doi: 10.1016/b978-0-12-801893-4.00004-3.