Multi-split -values for simulated data with all matched non-zero s and = 0.9.

<p>Empty cells stand for SNPs that are not identified from the model.</p

Number of SNPs identified, and overlap of SNPs among the proposed method, the Lasso and single-SNP analysis for heterogeneous stock mice dataset.

*<p>Short for Lasso on M1.</p>**<p>Short for Lasso on M2.</p>***<p>Short for single-SNP analysis on M1.</p>****<p>Short for single-SNP analysis on M2.</p><p>The number in the parenthesis is the number of SNPs with significant -values.</p

Additional file 1 of Clustering multilayer omics data using MuNCut

The file SupplementaryFile.xlsx contains detailed MuNCut clustering results for BRCA and CESC data. (XLSX 17 kb

SNPs selected by individual Lasso on CD4/CD8 ratio.

*<p>Gene names that SNPs belong to or are closest to.</p

Supplemental material for Promoting sign consistency in the cure model estimation and selection

Supplemental Material for Promoting sign consistency in the cure model estimation and selection by Xingjie Shi, Shuangge Ma and Huang Yuan in Statistical Methods in Medical Research</p

Coverage rate (>50%): univariate and multivariate logistic regressions.

<p>Numbers are “odds ratio (p-value)”. “Baseline” represents the reference group for OR calculation.</p

Basic characteristics of all subjects and stratified by insurance status.

*<p>Values in “()” are p-values of Chi-squared or Fisher's exact test.</p

Description of the three surveyed cities.

*<p>As of 2010.</p>+<p>At the time of survey, $1 USD = 6.37 Yuan.</p

Simulation studies: the numbers are mean (standard deviation) based on 100 replicates.

<p>False discovery rate (FDR) and false negative rate (FNR) are reported together with true positives and model sizes.</p

Absolute values of

<p><b> estimates from Lasso on CD4/CD8 ratio and CD4∶CD3 and </b><b> estimates for the proposed method.</b> Smaller dots represent SNPs selected by the Lasso/proposed method with insignificant multi-split -values. Larger dots represent SNPs with significant -values.</p