Publications

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Vitamins
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Viral Load
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
United States Agency for Healthcare Research and Quality
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
United States
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Uncertainty
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Transcriptome
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Time Factors
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Symposium III
Madar, V. Faster algorithm to control the Benjamini-Hochberg false discovery rate and its application for analysis of huge genomic data.., 2014.
Symposium I
Li, Zhiguo. Fitting Cox models with doubly censored data using spline-based marginal likelihood., 2011.
Stroke
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Stochastic Processes
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Software
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Sex Characteristics
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Risk Factors
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Research Design
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
Reproducibility of Results
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Regression Analysis
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Registries
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Randomized Controlled Trials as Topic
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Quantitative Trait, Heritable
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Quantitative Trait Loci
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Psychometrics
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Proportional Hazards Models
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Principal Component Analysis
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Polymorphism, Single Nucleotide
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Polymorphism, Genetic
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Polymerase Chain Reaction
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Patient-Centered Care
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Outcome and Process Assessment, Health Care
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Normal Distribution
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Nonlinear Dynamics
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Neuroimaging
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Neural Pathways
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Nerve Fibers, Myelinated
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Neoplasms
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Needs Assessment
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Multivariate Analysis
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Monte Carlo Method
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Models, Theoretical
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Models, Statistical
Post, Justin B., and Howard D. Bondell. "Factor selection and structural identification in the interaction ANOVA model." Biometrics 69, no. 1 (2013): 70-9.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Models, Neurological
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Models, Genetic
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Memory
Post, Justin B., and Howard D. Bondell. "Factor selection and structural identification in the interaction ANOVA model." Biometrics 69, no. 1 (2013): 70-9.
Male
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Machine Learning
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Longitudinal Studies
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Linear Models
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Limit of Detection
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Likelihood Functions
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Least-Squares Analysis
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Internal Capsule
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Infant, Newborn
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Infant
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Image Processing, Computer-Assisted
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Image Interpretation, Computer-Assisted
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Humans
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Post, Justin B., and Howard D. Bondell. "Factor selection and structural identification in the interaction ANOVA model." Biometrics 69, no. 1 (2013): 70-9.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Homocysteine
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
HIV Infections
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Hippocampus
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Growth
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Gestational Age
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Genome-Wide Association Study
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Genetic Variation
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Genetic Markers
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Gene-Environment Interaction
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Female
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Endpoint Determination
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
Diffusion Tensor Imaging
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Data Interpretation, Statistical
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.

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