Results 241 to 250 of about 1,474,584 (283)
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An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

General Linear Model

2009
The general linear model incorporates many of the most popular and useful models that arise in applied statistics, including models for multiple regression and the analysis of variance. The basic model can be written succinctly in matrix form as $$Y = X\beta + \epsilon,$$ (14.1) where Y, our observed data, is a random vector in \(\mathbb{R}^n,
openaire   +1 more source

General Linear Models

1998
Abstract The data in Table 4.1 are pairs of measurements of body weights and diastolic blood pressures recorded on 34 heavy men. Even with as few as 34 observations, it is useful to summarize the relationship between two variables.
openaire   +1 more source

The biofilm life cycle: expanding the conceptual model of biofilm formation

Nature Reviews Microbiology, 2022
Karin Sauer   +2 more
exaly  

LINEAR MODEL AND GENERALIZED LINEAR MODEL

2017
Tong Wang   +7 more
openaire   +1 more source

General linear models.

2004
R. D. Stern   +3 more
openaire   +2 more sources

Colorectal cancer screening for average‐risk adults: 2018 guideline update from the American Cancer Society

Ca-A Cancer Journal for Clinicians, 2018
Timothy R Church   +2 more
exaly  

Self-management: Enabling and empowering patients living with cancer as a chronic illness

Ca-A Cancer Journal for Clinicians, 2011
Ruth McCorkle   +2 more
exaly  

Generalized Linear Models

2021
Nalini Ravishanker   +2 more
openaire   +1 more source

Improving patient and caregiver outcomes in oncology: Team‐based, timely, and targeted palliative care

Ca-A Cancer Journal for Clinicians, 2018
David Hui   +2 more
exaly  

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