RLD: Analyze and Design Repeated Low-Dose Challenge Experiments
Reference: Kang, C., Huang, Y., and Miller, C. (2015) A discrete time-survival model with random effects for designing and analyzing repeated low-dose challenge experiments. Biostatistics, 16(2):295-310. PMCID: PMC4786638. CRAN R package rld Download
Supplementary Material for "Borrowing Information across Populations in Estimating Positive and Negative Predictive Values", Huang, Fong, Wei, Feng, 2011. Journal of the Royal Statistical Society, 60 (5), 633-653, PMCID: PMC3196635.
"Assessing Treatment-Selection Markers using a Potential Outcomes Framework", Huang Gilbert Janes, 2012, Biometrics, 68(3): 687-96. PMCID: PMC3417090. R package tsm_0.0.2.zip (38KB) and tsm_0.0.2.tar.gz (15KB)
"Identifying Optimal Biomarker Combinations for Treatment Selection through randomized controlled trials", Huang 2015. Clinical Trials, 12(4): 348-356. PMCID: PMC4506270. R code and example data for implementing the W-SRAMP-L1 estimator for selecting and combining biomarkers in deriving personalized treatment-selection rule Rcode_CT.zip
"Statistical methods for down-selection of treatment regimens based on multiple endpoints, with application to HIV vaccine trials", Huang, Gilbert, Fu, Janes 2017, Biostatistics, 18(2): 230-243. PMCID: PMC6092735. Rcode Zip file for R-code.
"Identifying optimal biomarker combinations for treatment selection via a robust kernel method". Huang and Fong 2014, Biometrics, 70(4): 891-901. PMCID: PMC4277554. R package rts_2.0.tar.gz
"Combining Biomarkers Nonlinearly for Classification uing the Area under the ROC Curve". Fong, Yin, and Huang (2016). Statistics in Medicine, 35(21): 3792-3809. PMCID: PMC4965290. CRAN R package aucm.
"Identification of the optimal treatment regimen in the presence of missing covariates". Huang and Zhou (2019) Zip file for R-code.