Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and EI George, and a rejoinder by the authors
Standard statistical practice ignores model uncertainty. Data analysts typically select a
model from some class of models and then proceed as if the selected model had generated …
model from some class of models and then proceed as if the selected model had generated …
[HTML][HTML] Prognostic factors of oncologic and reproductive outcomes in fertility-sparing management of endometrial atypical hyperplasia and adenocarcinoma …
Objective To evaluate the various possible prognostic factors on the fertility-sparing
management of atypical hyperplasia and endometrial cancer; to generate survival curves to …
management of atypical hyperplasia and endometrial cancer; to generate survival curves to …
Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target
A major rate-limiting step in developing more effective immunotherapies for GBM is our
inadequate understanding of the cellular complexity and the molecular heterogeneity of …
inadequate understanding of the cellular complexity and the molecular heterogeneity of …
Determinants and clinical outcome of uptitration of ACE-inhibitors and beta-blockers in patients with heart failure: a prospective European study
Introduction Despite clear guidelines recommendations, most patients with heart failure and
reduced ejection–fraction (HFrEF) do not attain guideline-recommended target doses. We …
reduced ejection–fraction (HFrEF) do not attain guideline-recommended target doses. We …
[图书][B] Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis
FE Harrell - 2001 - Springer
Many texts are excellent sources of knowledge about individual statistical tools, but the art of
data analysis is about choosing and using multiple tools. Instead of presenting isolated …
data analysis is about choosing and using multiple tools. Instead of presenting isolated …
[图书][B] Applied logistic regression
A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …
other applications This thoroughly expanded Third Edition provides an easily accessible …
[图书][B] Generalized linear models
P McCullagh - 2019 - taylorfrancis.com
The success of the first edition of Generalized Linear Models led to the updated Second
Edition, which continues to provide a definitive unified, treatment of methods for the analysis …
Edition, which continues to provide a definitive unified, treatment of methods for the analysis …
[图书][B] Applied survival analysis: regression modeling of time-to-event data
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-
EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition …
EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition …
Development and validation of multivariable models to predict mortality and hospitalization in patients with heart failure
Introduction From a prospective multicentre multicountry clinical trial, we developed and
validated risk models to predict prospective all‐cause mortality and hospitalizations because …
validated risk models to predict prospective all‐cause mortality and hospitalizations because …
Predicting material accounting misstatements
What causes managers to misstate their financial statements? How best can investors,
auditors, financial analysts, and regulators detect misstatements? Addressing these …
auditors, financial analysts, and regulators detect misstatements? Addressing these …