Amanote Research

Amanote Research

    RegisterSign In

Table S4: Multinomial Logistic Regression Analysis of Three Chinese Populations Based on 48 SNP Loci

doi 10.7717/peerj.6508/supp-4
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors

Unknown

Publisher

PeerJ


Related search

A Set of Novel SNP Loci for Differentiating Continental Populations and Three Chinese Populations

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2019English

Table 2: General Information and Ancestral Allele Frequencies of 48 SNP Loci in Different Continental Populations.

English

Table 3: Multiple Logistic Regression Analysis.

English

Table S2: Population Specific in Values of 48 SNPs in Four Continentical Populations and Three Chinese Populations

English

Table S1: The P-Values of Hardy–Weinberg Equilibrium Tests of 48 SNP Loci in 25 Training Populations by Genepop Software V4.0

English

Robust Logistic and Probit Methods for Binary and Multinomial Regression

Journal of Biometrics & Biostatistics
2014English

Elastic Net Multinomial Logistic Regression for Fault Diagnostics of On-Board Aeronautical Systems

Aerospace Science and Technology
Aerospace Engineering
2019English

Table S4: References to the Data Used in Regression Analysis

English

Table 3: Multivariate Logistic Regression Analysis on the Risk Factors for GERD.

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy