Yahoo Finance

Multiple Regression, Logistic Regression, and Cox Regression Core Principles and Applications: ON-DEMAND COURSE

Dublin, Sept. 02, 2024 (GLOBE NEWSWIRE) -- The "Multiple Linear Regression, Logistic Regression, and Survival Analysis" webinar has been added to ResearchAndMarkets.com's offering. In this ...
JSTOR Daily

Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies

Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Timothy D. Johnson, Thomas E. Nichols Journal of the ...
Nature

A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...
ascopubs.org

Cox proportional hazard analysis of sunitinib (SU) efficacy across subgroups of patients (pts) with progressive pancreatic neuroendocrine tumors (NET).

A randomized phase II study of TSU-68 in patients (pts) with hepatocellular carcinoma (HCC) treated by transarterial chemoembolization (TACE). Background: Sunitinib (SU) improved median ...
ascopubs.org

Missing Data in Clinical Studies: Issues and Methods

Targeting the Hepatocyte Growth Factor–cMET Axis in Cancer Therapy In most analyses appearing in the medical literature, the most common way of dealing with missing (covariate or response) data is to ...