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missLASSO Public
Penalized regression for multiple types of many features with missing data using expectation-maximization (EM) algorithm.
integrative-analysis factor-models penalized-regression adaptive-lasso multi-modality-data multi-platform-genomics-studiesUpdatedFeb 21, 2024 -
LatentClassJM Public
A general model for the joint analysis of multivariate longitudinal data and survival time
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psivcm Public
This directory contains the codes to perform all the analyses and reproduce all the figures and tables presented in the paper: Ng HM, Jiang BY, Wong KY. Penalized estimation of a class of single-in…
R UpdatedApr 16, 2022 -
ICScure Public
Perform estimation and inference for clustered current status data with informative cluster size using the method proposed by Lam et al. (2021) <DOI: https://doi.org/10.1002/sim.8910>.
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I-Boost-Paper2019 Public
Simulation data sets and codes to perform all the analyses in the paper: Wong KY, Fan C, Tanioka M, Parker JS, Nobel AB, Zeng D, Lin DY, Perou CM. I-Boost: an integrative boosting approach for pred…
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I-Boost Public
I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics data with clinical data for predicting survival time.
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