Related Experiment Video
Updated: Jul 10, 2026
04:57
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Competing hazards with shared unmeasured risk factors.
Sociological Methodology
|January 1, 1993
Summary
This study introduces a new competing hazards model accounting for unmeasured risks in union formation. Ignoring these shared factors significantly biases estimates of marriage and cohabitation survival.
Area of Science:
- Sociology
- Demography
- Statistics
Background:
- Young women's union formation involves competing risks like marriage and cohabitation.
- Standard models often assume independence between these risks.
- Unmeasured shared risk factors can influence these decisions.
Purpose of the Study:
- To generalize discrete-time competing hazards models.
- To incorporate stochastic dependencies from unmeasured risk factors.
- To analyze union formation among young women.
Main Methods:
- Developed a generalized discrete-time competing hazards model.
- Applied the model to data on young women's first conjugal residential unions.
- Compared results with and without accounting for unmeasured factors.
Main Results:
- Found significant similarity between marriage and cohabitation due to unmeasured factors.
- Demonstrated that the independence assumption leads to biased survival function estimates.
- Identified substantial bias in net marriage and net cohabitation survival functions.
Conclusions:
- The generalized model accurately captures dependencies in union formation.
- Assuming independence in competing risks models can yield misleading results.
- Accounting for unmeasured risks is crucial for accurate demographic analyses.
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