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I-Boost

I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics data with clinical data for predicting survival time.

Language:RMIT400

ICScure

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>.

Language:R4 20

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 predicting survival time with multiple genomics platforms. 2019.

Language:R200

LatentClassJM

A general model for the joint analysis of multivariate longitudinal data and survival time

Language:RUnlicense010

missLASSO

Penalized regression for multiple types of many features with missing data using expectation-maximization (EM) algorithm.

010

psivcm

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-index varying-coefficient models for integrative genomic analysis. 2022.

Language:R010

I-Boost

ICScure

I-Boost-Paper2019

LatentClassJM

missLASSO

psivcm