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STATA Corporation binomial logistic regression analyses
Binomial Logistic Regression Analyses, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 99 stars, based on 1 article reviews
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Construction EGFR signaling-related genes prognostic model. (A) Cross-validation of adjustment parameter selection in a proportional hazards model. (B) LASSO coefficient spectrum of 27 EGFR signaling-related genes. Each curve represents a gene. (C) The mRNA expression levels of SHC1, PXN, LRIG1, EREG and SH3GL1 were found to be correlated. (D-M) Spearman correlation scatter plots show significant correlations between SHC1, PXN, LRIG1, EREG and SH3GL1 . (N-R) The mRNA expression levels of SHC1, PXN, LRIG1, EREG , and SH3GL1 in normal and LUAD groups. ***P<0.001, EGFR, epidermal growth factor receptor; LASSO, least absolute shrinkage and selection operator; LUAD, lung adenocarcinoma; mRNA, messenger RNA; TPM, transcripts per million.

Journal: Translational Cancer Research

Article Title: Construction and validation of an EGFR-related risk signature identified SHC1 as a prognostic biomarker for lung adenocarcinoma

doi: 10.21037/tcr-24-1812

Figure Lengend Snippet: Construction EGFR signaling-related genes prognostic model. (A) Cross-validation of adjustment parameter selection in a proportional hazards model. (B) LASSO coefficient spectrum of 27 EGFR signaling-related genes. Each curve represents a gene. (C) The mRNA expression levels of SHC1, PXN, LRIG1, EREG and SH3GL1 were found to be correlated. (D-M) Spearman correlation scatter plots show significant correlations between SHC1, PXN, LRIG1, EREG and SH3GL1 . (N-R) The mRNA expression levels of SHC1, PXN, LRIG1, EREG , and SH3GL1 in normal and LUAD groups. ***P<0.001, EGFR, epidermal growth factor receptor; LASSO, least absolute shrinkage and selection operator; LUAD, lung adenocarcinoma; mRNA, messenger RNA; TPM, transcripts per million.

Article Snippet: From the TCGA database, 27 candidate ESRGs were identified using the least absolute shrinkage and selection operator (LASSO) Cox regression analyses to reduce redundancy and prevent model overfitting.

Techniques: Biomarker Discovery, Selection, Expressing