A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models. Todem, D, J Fine, and L Peng. "A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models." Biometrics 66, no. 2 (2010): 558-66. Read more about A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models.PubMed
A moment-adjusted imputation method for measurement error models. Thomas, Laine, Leonard Stefanski, and Marie Davidian. "A moment-adjusted imputation method for measurement error models." Biometrics 67, no. 4 (2011): 1461-70. Read more about A moment-adjusted imputation method for measurement error models.PubMed
A nonparametric spatial model for periodontal data with non-random missingness. Reich, Brian J., Dipankar Bandyopadhyay, and Howard D. Bondell. "A nonparametric spatial model for periodontal data with non-random missingness." J Am Stat Assoc 108, no. 503 (2013). Read more about A nonparametric spatial model for periodontal data with non-random missingness.PubMed
Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies using Resampling Methods. Boos, Dennis D., and Jason A. Osborne. "Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies using Resampling Methods." Int Stat Rev 83, no. 2 (2015): 228-238. Read more about Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies using Resampling Methods.PubMed
Bayesian Case Influence Measures for Statistical Models with Missing Data. Zhu, Hongtu, Joseph G. Ibrahim, Hyunsoon Cho, and Niansheng Tang. "Bayesian Case Influence Measures for Statistical Models with Missing Data." J Comput Graph Stat 21, no. 1 (2012): 253-271. Read more about Bayesian Case Influence Measures for Statistical Models with Missing Data.PubMed
Bayesian influence analysis: a geometric approach. Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian influence analysis: a geometric approach." Biometrika 98, no. 2 (2011): 307-323. Read more about Bayesian influence analysis: a geometric approach.PubMed
Bayesian influence measures for joint models for longitudinal and survival data. Zhu, Hongtu, Joseph G. Ibrahim, Yueh-Yun Chi, and Niansheng Tang. "Bayesian influence measures for joint models for longitudinal and survival data." Biometrics 68, no. 3 (2012): 954-64. Read more about Bayesian influence measures for joint models for longitudinal and survival data.PubMed
Bayesian lasso for semiparametric structural equation models. Guo, Ruixin, Hongtu Zhu, Sy-Miin Chow, and Joseph G. Ibrahim. "Bayesian lasso for semiparametric structural equation models." Biometrics 68, no. 2 (2012): 567-77. Read more about Bayesian lasso for semiparametric structural equation models.PubMed
Bayesian Sensitivity Analysis of Statistical Models with Missing Data. Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian Sensitivity Analysis of Statistical Models with Missing Data." Stat Sin 24, no. 2 (2014): 871-896. Read more about Bayesian Sensitivity Analysis of Statistical Models with Missing Data.PubMed
Bayesian Transformation Models for Multivariate Survival Data. DE Castro, Mário, Ming-Hui Chen, Joseph G. Ibrahim, and John P. Klein. "Bayesian Transformation Models for Multivariate Survival Data." Scand Stat Theory Appl 41, no. 1 (2014): 187-199. Read more about Bayesian Transformation Models for Multivariate Survival Data.PubMed
CasANOVA: Simultaneous factor selection and collapsing levels in ANOVA (R). Bondell, Howard D., and Shannon T. Holloway. CasANOVA: Simultaneous factor selection and collapsing levels in ANOVA (R).. R 3.0 ed., 2013. Read more about CasANOVA: Simultaneous factor selection and collapsing levels in ANOVA (R).
Clinical characteristics, response to exercise training, and outcomes in patients with heart failure and chronic obstructive pulmonary disease: findings from Heart Failure and A Controlled Trial Investigating Outcomes of Exercise TraiNing (HF-ACTION). Mentz, Robert J., Phillip J. Schulte, Jerome L. Fleg, Mona Fiuzat, William E. Kraus, Ileana L. Piña, Steven J. Keteyian, Dalane W. Kitzman, David J. Whellan, Stephen J. Ellis et al. "Clinical characteristics, response to exercise training, and outcomes in patients with heart failure and chronic obstructive pulmonary disease: findings from Heart Failure and A Controlled Trial Investigating Outcomes of Exercise TraiNing (HF-ACTION)." Am Heart J 165, no. 2 (2013): 193-9. Read more about Clinical characteristics, response to exercise training, and outcomes in patients with heart failure and chronic obstructive pulmonary disease: findings from Heart Failure and A Controlled Trial Investigating Outcomes of Exercise TraiNing (HF-ACTION).PubMed
cSFM: Covariate-adjusted skewed functional model (R). Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. cSFM: Covariate-adjusted skewed functional model (R).. 1.1 ed., 2014. Read more about cSFM: Covariate-adjusted skewed functional model (R).
Discussion of "Connections Between Survey Calibration Estimators and Semiparametric Models for Incomplete Data" by T. Lumley, P.A. Shaw & J.Y. Dai. Tsiatis, Anastasios A., and Marie Davidian. "Discussion of "Connections Between Survey Calibration Estimators and Semiparametric Models for Incomplete Data" by T. Lumley, P.A. Shaw & J.Y. Dai." Int Stat Rev 79, no. 2 (2011): 221-223. Read more about Discussion of "Connections Between Survey Calibration Estimators and Semiparametric Models for Incomplete Data" by T. Lumley, P.A. Shaw & J.Y. Dai.PubMed
doublyRobust: Doubly robust estimation for monotonely coarsened data in longitudinal studies with dropout and/or incomplete data (R). Tsiatis, Anastasios A., Marie Davidian, Weihua Cao, and Shannon T. Holloway. doublyRobust: Doubly robust estimation for monotonely coarsened data in longitudinal studies with dropout and/or incomplete data (R).. 2nd ed., 2013. Read more about doublyRobust: Doubly robust estimation for monotonely coarsened data in longitudinal studies with dropout and/or incomplete data (R).
Duration of eptifibatide infusion after percutaneous coronary intervention and outcomes among high-risk patients with non-ST-segment elevation acute coronary syndrome: insights from EARLY ACS. Hess, Connie N., Phillip J. Schulte, Kristin L Newby, Philippe Gabriel Steg, Anthony J. Dalby, Marc J. Schweiger, Basil S. Lewis, Paul W. Armstrong, Robert M. Califf, Frans van de Werf et al. "Duration of eptifibatide infusion after percutaneous coronary intervention and outcomes among high-risk patients with non-ST-segment elevation acute coronary syndrome: insights from EARLY ACS." Eur Heart J Acute Cardiovasc Care 2, no. 3 (2013): 246-55. Read more about Duration of eptifibatide infusion after percutaneous coronary intervention and outcomes among high-risk patients with non-ST-segment elevation acute coronary syndrome: insights from EARLY ACS.PubMed
Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood. Bondell, Howard D., and Leonard A. Stefanski. "Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood." J Am Stat Assoc 108, no. 502 (2013): 644-655. Read more about Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood.PubMed
Estimation of treatment effect for the sequential parallel design. Tamura, Roy N., Xiaohong Huang, and Dennis D. Boos. "Estimation of treatment effect for the sequential parallel design." Stat Med 30, no. 30 (2011): 3496-506. Read more about Estimation of treatment effect for the sequential parallel design.PubMed
Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions. Cao, Guanqun, David Todem, Lijian Yang, and Jason P. Fine. "Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions." Scand Stat Theory Appl 40, no. 2 (2013): 256-273. Read more about Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions.PubMed
FSR Methods for Second-Order Regression Models. Crews, Hugh B., Dennis D. Boos, and Leonard A. Stefanski. "FSR Methods for Second-Order Regression Models." Comput Stat Data Anal 55, no. 6 (2011): 2026-2037. Read more about FSR Methods for Second-Order Regression Models.PubMed
Haplo.CasGLM: Haplotype specific simultaneous factor selection and collapsing levels in GLM (R). Bondell, Howard D., Jung-Ying Tzeng, Megan L. Koehler, and Shannon T. Holloway. Haplo.CasGLM: Haplotype specific simultaneous factor selection and collapsing levels in GLM (R).. 3rd ed., 2013. Read more about Haplo.CasGLM: Haplotype specific simultaneous factor selection and collapsing levels in GLM (R).
Hard or Soft Classification? Large-margin Unified Machines. Liu, Yufeng, Hao Helen Zhang, and Yichao Wu. "Hard or Soft Classification? Large-margin Unified Machines." J Am Stat Assoc 106, no. 493 (2011): 166-177. Read more about Hard or Soft Classification? Large-margin Unified Machines.PubMed
Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout. Tsiatis, Anastasios A., Marie Davidian, and Weihua Cao. "Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout." Biometrics 67, no. 2 (2011): 536-45. Read more about Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout.PubMed
Incorporating covariates in skewed functional data models. Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. "Incorporating covariates in skewed functional data models." Biostatistics 16, no. 3 (2015): 413-26. Read more about Incorporating covariates in skewed functional data models.PubMed
Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates. Chen, Qingxia, Ryan C. May, Joseph G. Ibrahim, Haitao Chu, and Stephen R. Cole. "Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates." Stat Med 33, no. 26 (2014): 4560-76. Read more about Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates.PubMed
Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event. Kim, Sehee, Donglin Zeng, Lloyd Chambless, and Yi Li. "Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event." Stat Biosci 4, no. 2 (2012): 262-281. Read more about Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event.PubMed
Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits. May, Ryan C., Joseph G. Ibrahim, and Haitao Chu. "Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61. Read more about Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits.PubMed
Medical records-based postmarketing safety evaluation of rare events with uncertain status. Cao, Hongyuan, Lisa M. LaVange, Joseph F. Heyse, Christopher T Mast, and Michael R. Kosorok. "Medical records-based postmarketing safety evaluation of rare events with uncertain status." J Biopharm Stat 23, no. 4 (2013): 744-55. Read more about Medical records-based postmarketing safety evaluation of rare events with uncertain status.PubMed
Missing data in clinical studies: issues and methods. Ibrahim, Joseph G., Haitao Chu, and Ming-Hui Chen. "Missing data in clinical studies: issues and methods." J Clin Oncol 30, no. 26 (2012): 3297-303. Read more about Missing data in clinical studies: issues and methods.PubMed
Missing data methods: A semiparametric perspective. Tsiatis, Anastasios A., and Marie Davidian. Missing data methods: A semiparametric perspective. In Handbook of Missing Data Methodology. Boca Raton: Chapman and Hall/CRC, 2014. Read more about Missing data methods: A semiparametric perspective.
Mixed model analysis of censored longitudinal data with flexible random-effects density. Vock, David M., Marie Davidian, Anastasios A. Tsiatis, and Andrew J. Muir. "Mixed model analysis of censored longitudinal data with flexible random-effects density." Biostatistics 13, no. 1 (2012): 61-73. Read more about Mixed model analysis of censored longitudinal data with flexible random-effects density.PubMed
Moment Adjusted Imputation for Multivariate Measurement Error Data with Applications to Logistic Regression. Thomas, Laine, Leonard A. Stefanski, and Marie Davidian. "Moment Adjusted Imputation for Multivariate Measurement Error Data with Applications to Logistic Regression." Comput Stat Data Anal 67 (2013): 15-24. Read more about Moment Adjusted Imputation for Multivariate Measurement Error Data with Applications to Logistic Regression.PubMed
MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS. Ahn, Mihye, Hao Helen Zhang, and Wenbin Lu. "MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS." Stat Sin 22, no. 4 (2012): 1539-1562. Read more about MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS.PubMed
Multivariate longitudinal shape analysis of human lateral ventricles during the first twenty-four months of life. Bompard, Lucile, Shun Xu, Martin Styner, Beatriz Paniagua, Mihye Ahn, Ying Yuan, Valerie Jewells, Wei Gao, Dinggang Shen, Hongtu Zhu et al. "Multivariate longitudinal shape analysis of human lateral ventricles during the first twenty-four months of life." PLoS One 9, no. 9 (2014): e108306. Read more about Multivariate longitudinal shape analysis of human lateral ventricles during the first twenty-four months of life.PubMed
Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome. Zeng, Donglin, Joseph G. Ibrahim, Ming-Hui Chen, Kuolung Hu, and Catherine Jia. "Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome." J Biopharm Stat 24, no. 2 (2014): 429-42. Read more about Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome.PubMed
On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data. Molenberghs, Geert, Michael G. Kenward, Marc Aerts, Geert Verbeke, Anastasios A. Tsiatis, Marie Davidian, and Dimitris Rizopoulos. "On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data." Stat Methods Med Res 23, no. 1 (2014): 11-41. Read more about On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data.PubMed
P-Value Precision and Reproducibility. Boos, Dennis D., and Leonard A. Stefanski. "P-Value Precision and Reproducibility." Am Stat 65, no. 4 (2011): 213-221. Read more about P-Value Precision and Reproducibility.PubMed
PERTURBATION AND SCALED COOK'S DISTANCE. Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. "PERTURBATION AND SCALED COOK'S DISTANCE." Ann Stat 40, no. 2 (2012): 785-811. Read more about PERTURBATION AND SCALED COOK'S DISTANCE.PubMed
Quantifying the average of the time-varying hazard ratio via a class of transformations. Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Zhiying Pan, and Xiaodong Xue. "Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79. Read more about Quantifying the average of the time-varying hazard ratio via a class of transformations.PubMed
Semiparametric estimation of treatment effect with time-lagged response in the presence of informative censoring. Lu, Xiaomin, and Anastasios A. Tsiatis. "Semiparametric estimation of treatment effect with time-lagged response in the presence of informative censoring." Lifetime Data Anal 17, no. 4 (2011): 566-93. Read more about Semiparametric estimation of treatment effect with time-lagged response in the presence of informative censoring.PubMed
Semiparametric regression models and sensitivity analysis of longitudinal data with nonrandom dropouts. Todem, David, Kyungmann Kim, Jason Fine, and Limin Peng. "Semiparametric regression models and sensitivity analysis of longitudinal data with nonrandom dropouts." Stat Neerl 64, no. 2 (2010): 133-156. Read more about Semiparametric regression models and sensitivity analysis of longitudinal data with nonrandom dropouts.PubMed
SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models. Vock, David M., Marie Davidian, and Anastasios A. Tsiatis. "SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models." J Stat Softw 56 (2014): 2. Read more about SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models.PubMed
SNP_NLMM: Implement a flexible random effects density for generalized linear and nonlinear mixed models (SAS). Vock, David M., Marie Davidian, and Anastasios A. Tsiatis. SNP_NLMM: Implement a flexible random effects density for generalized linear and nonlinear mixed models (SAS).., 2014. Read more about SNP_NLMM: Implement a flexible random effects density for generalized linear and nonlinear mixed models (SAS).
The analysis of multivariate longitudinal data: a review. Verbeke, Geert, Steffen Fieuws, Geert Molenberghs, and Marie Davidian. "The analysis of multivariate longitudinal data: a review." Stat Methods Med Res 23, no. 1 (2014): 42-59. Read more about The analysis of multivariate longitudinal data: a review.PubMed
Time-varying latent effect model for longitudinal data with informative observation times. Cai, Na, Wenbin Lu, and Hao Helen Zhang. "Time-varying latent effect model for longitudinal data with informative observation times." Biometrics 68, no. 4 (2012): 1093-102. Read more about Time-varying latent effect model for longitudinal data with informative observation times.PubMed
Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials. Yuan, Shuai, Hao Helen Zhang, and Marie Davidian. "Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials." Stat Med 31, no. 29 (2012): 3789-804. Read more about Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials.PubMed
VARYING COEFFICIENT MODEL FOR MODELING DIFFUSION TENSORS ALONG WHITE MATTER TRACTS. Yuan, Ying, Hongtu Zhu, Martin Styner, John H. Gilmore, and J S. Marron. "VARYING COEFFICIENT MODEL FOR MODELING DIFFUSION TENSORS ALONG WHITE MATTER TRACTS." Ann Appl Stat 7, no. 1 (2013): 102-125. Read more about VARYING COEFFICIENT MODEL FOR MODELING DIFFUSION TENSORS ALONG WHITE MATTER TRACTS.PubMed