JSTOR Daily

Information Bounds for Cox Regression Models with Missing Data

We derive information bounds for the regression parameters in Cox models when data are missing at random. These calculations are of interest for understanding the behavior of efficient estimation in ...
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 ...
Open Heart

Development and validation of a 10-year predictive model for cardiovascular and metabolic disease risk: insights from a large-scale health examination cohort

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
European Medical Journal

How Environmental Greenery May Raise Skin Cancer Risk

Domestic gardens, not all green spaces, were linked to higher melanoma and non-melanoma skin cancer risk, especially in ...