Amanote Research

Amanote Research

    RegisterSign In

The Use and Interpretation of Competing Risks Regression Models

Clinical Cancer Research - United States
doi 10.1158/1078-0432.ccr-11-2097
Full Text
Open PDF
Abstract

Available in full text

Categories
Cancer ResearchOncology
Date

January 26, 2012

Authors
J. J. DignamQ. ZhangM. Kocherginsky
Publisher

American Association for Cancer Research (AACR)


Related search

Survival Regression Models for Single Events and Competing Risks Based on Pseudoobservations

Statistics in Transition
UncertaintyStatisticsProbability
2019English

Competing Risks Models and Time-Dependent Covariates

Critical Care
Critical CareIntensive Care Medicine
2008English

Estimation of Employee Turnover With Competing Risks Models

Folia Oeconomica Stetinensia
2015English

Constrained Mixture Models in Competing Risks Problems

Environmetrics
Ecological ModelingStatisticsProbability
1999English

Competing Risks

Lifetime Data Analysis
MedicineApplied Mathematics
2014English

Comparing Predictions Among Competing Risks Models With Time-Dependent Covariates

Statistics in Medicine
EpidemiologyStatisticsProbability
2013English

Under the Hood Issues in the Specification and Interpretation of Spatial Regression Models

Agricultural Economics
AgronomyEconomicsCrop ScienceEconometrics
2002English

Odds Ratios and Logistic Regression: Further Examples of Their Use and Interpretation

Stata Journal
Mathematics
2003English

Semi-Competing Risks Data Analysis

Circulation. Cardiovascular quality and outcomes
MedicineCardiovascular MedicineCardiology
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy