Related Experiment Video
Updated: Dec 7, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Model-assisted estimators for time-to-event data from complex surveys
Benjamin M Reist1, Richard Valliant2
1Office of the CIO, National Aeronautics and Space Administration, Washington, DC, USA.
Abstract:
We develop model-assisted estimators for complex survey data for the proportion of a population that experienced some event by a specified time t. Theory for the new estimators uses time-to-event models as the underlying framework but have both good model-based and design-based properties. The estimators are compared in a simulation to traditional survey estimation methods and are also applied to a study of nurses' health. The new estimators take advantage of covariates predictive of the event and reduce standard errors compared to conventional alternatives.
Related Concept Videos
Kaplan-Meier Approach
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...

