Year |
Citation |
Score |
2020 |
Parast L, Garcia TP, Prentice RL, Carroll RJ. Robust methods to correct for measurement error when evaluating a surrogate marker. Biometrics. PMID 33021738 DOI: 10.1111/biom.13386 |
0.309 |
|
2020 |
Lee U, Carroll RJ, Marder K, Wang Y, Garcia TP. Estimating disease onset from change points of markers measured with error. Biostatistics (Oxford, England). PMID 31999331 DOI: 10.1093/Biostatistics/Kxz068 |
0.419 |
|
2019 |
Garcia TP, Parast L. Dynamic landmark prediction for mixture data. Biostatistics (Oxford, England). PMID 31758793 DOI: 10.1093/Biostatistics/Kxz052 |
0.497 |
|
2019 |
Wei Y, Ma Y, Garcia TP, Sinha S. A consistent estimator for logistic mixed effect models. The Canadian Journal of Statistics = Revue Canadienne De Statistique. 47: 140-156. PMID 31274953 DOI: 10.1002/Cjs.11482 |
0.714 |
|
2019 |
Lee U, Garcia TP, Carroll RJ, Gilbreath KR, Wu G. Analysis of repeated measures data in nutrition research. Frontiers in Bioscience (Landmark Edition). 24: 1377-1389. PMID 31136985 DOI: 10.2741/4785 |
0.358 |
|
2017 |
Garcia TP, Ma Y, Marder K, Wang Y. ROBUST MIXED EFFECTS MODEL FOR CLUSTERED FAILURE TIME DATA: APPLICATION TO HUNTINGTON'S DISEASE EVENT MEASURES. The Annals of Applied Statistics. 11: 1085-1116. PMID 29399240 DOI: 10.1214/17-Aoas1038 |
0.693 |
|
2017 |
Garcia TP, Marder K, Wang Y. Time-varying proportional odds model for mega-analysis of clustered event times. Biostatistics (Oxford, England). PMID 29309509 DOI: 10.1093/Biostatistics/Kxx065 |
0.575 |
|
2017 |
Garcia TP, Ma Y. Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models. Journal of Econometrics. 200: 194-206. PMID 29200600 DOI: 10.1016/J.Jeconom.2017.06.005 |
0.67 |
|
2017 |
Garcia TP, Marder K, Wang Y. Statistical modeling of Huntington disease onset. Handbook of Clinical Neurology. 144: 47-61. PMID 28947125 DOI: 10.1016/B978-0-12-801893-4.00004-3 |
0.426 |
|
2017 |
Garcia TP, Marder K. Statistical Approaches to Longitudinal Data Analysis in Neurodegenerative Diseases: Huntington's Disease as a Model. Current Neurology and Neuroscience Reports. 17: 14. PMID 28229396 DOI: 10.1007/S11910-017-0723-4 |
0.374 |
|
2016 |
Garcia TP, Ma Y. Optimal Estimator for Logistic Model with Distribution-free Random Intercept Scandinavian Journal of Statistics. 43: 156-171. DOI: 10.1111/Sjos.12170 |
0.714 |
|
2016 |
Kohli P, Garcia TP, Pourahmadi M. Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data Journal of Multivariate Analysis. 145: 87-100. DOI: 10.1016/J.Jmva.2015.11.014 |
0.524 |
|
2015 |
Garcia TP, Ma Y. Optimal Estimator for Logistic Model with Distribution-free Random Intercept. Scandinavian Journal of Statistics, Theory and Applications. 43: 156-171. PMID 36187208 DOI: 10.1111/sjos.12170 |
0.71 |
|
2014 |
Qin J, Garcia TP, Ma Y, Tang MX, Marder K, Wang Y. COMBINING ISOTONIC REGRESSION AND EM ALGORITHM TO PREDICT GENETIC RISK UNDER MONOTONICITY CONSTRAINT. The Annals of Applied Statistics. 8: 1182-1208. PMID 25404955 DOI: 10.1214/14-Aoas730 |
0.656 |
|
2012 |
Wang Y, Garcia TP, Ma Y. 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. PMID 24489419 DOI: 10.1080/01621459.2012.699353 |
0.685 |
|
2012 |
Ye F, Garcia T, Pourahmadi M, Lord D. Extension of negative binomial GARCH model Transportation Research Record. 31-39. DOI: 10.3141/2279-04 |
0.461 |
|
2012 |
Garcia TP, Kohli P, Pourahmadi M. Regressograms and mean-covariance models for incomplete longitudinal data American Statistician. 66: 85-91. DOI: 10.1080/00031305.2012.695935 |
0.484 |
|
2011 |
Garcia TP, Ma Y, Yin G. Efficiency improvement in a class of survival models through model-free covariate incorporation. Lifetime Data Analysis. 17: 552-65. PMID 21455700 DOI: 10.1007/S10985-011-9195-Z |
0.659 |
|
2008 |
Garcia T, Braun J, Bryce R, Tymstra C. Smoothing and bootstrapping the PROMETHEUS fire growth model Environmetrics. 19: 836-848. DOI: 10.1002/Env.907 |
0.391 |
|
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