Semiparametric Bayes local additive models for longitudinal data. Read more about Semiparametric Bayes local additive models for longitudinal data.
Spatially Weighted Principal Component Analysis for Imaging Classification. Read more about Spatially Weighted Principal Component Analysis for Imaging Classification.
SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression. Read more about SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression.
JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data. Read more about JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data.
Statistical methods and computing for big data. Read more about Statistical methods and computing for big data.
Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm. Read more about Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm.
GGMridge: Gaussian graphical models using ridge penalty followed by thresholding and reestimation (R). Read more about GGMridge: Gaussian graphical models using ridge penalty followed by thresholding and reestimation (R).
Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. Read more about Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data.
Cook's Distance Measures for Varying Coefficient Models with Functional Responses. Read more about Cook's Distance Measures for Varying Coefficient Models with Functional Responses.
Checking semiparametric transformation models with censored data. Read more about Checking semiparametric transformation models with censored data.
