Publications
Filters: First Letter Of Title is F [Clear All Filters]
A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
"A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
"Fast Bayesian Variable Screenings for Binary Response Regressions with Small Sample Size." J Stat Comput Simul 87, no. 14 (2017): 2708-2723.
"Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
"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.
"FSR Methods for Second-Order Regression Models." Comput Stat Data Anal 55, no. 6 (2011): 2026-2037.
"FEATURE ELIMINATION IN KERNEL MACHINES IN MODERATELY HIGH DIMENSIONS." Ann Stat 47, no. 1 (2019): 497-526.
"Failure time regression with continuous informative auxiliary covariates." J Stat Distrib Appl 2 (2015): 2.
"Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
" FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
"Functional feature construction for individualized treatment regimes." J Am Stat Assoc 113, no. 523 (2017): 1219-1227.
"Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
"Functional Linear Regression Models for Nonignorable Missing Scalar Responses." Stat Sin 28, no. 4 (2018): 1867-1886.
"Fitting Cox Models with Doubly Censored Data Using Spline-Based Sieve Marginal Likelihood." Scand Stat Theory Appl 43, no. 2 (2016): 476-486.
" fastJT: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies (R). 1.0.4 ed., 2017.
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.
"Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
"FSEM: Functional Structural Equation Models for Twin Functional Data." J Am Stat Assoc 114, no. 525 (2019): 344-357.
"A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
"Factor selection and structural identification in the interaction ANOVA model." Biometrics 69, no. 1 (2013): 70-9.
" Facilitating the Calculation of the Efficient Score Using Symbolic Computing." Am Stat 72, no. 2 (2018): 199-205.
"False discovery rate control for high dimensional networks of quantile associations conditioning on covariates." J R Stat Soc Series B Stat Methodol 80, no. 5 (2018): 1015-1034.
"FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
"FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
"