Assessing Bias and Fit of Global and Local Hazard Models
Bibliographic Data
| ID | 2331671 |
|---|---|
| Authors | Lawrence L Wu, Lawrence Wu (0000-0003-2301-5136, University of Wisconsin–Madison), Nancy Brandon Tuma (Stanford University) |
| Year | 1991 |
| Volume | 19 |
| Issue | 3 |
| Pages | 354-387 |
| Publication date | 1991-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124191019003004 |
| OpenAlex | W2006952443 |
| Language | EN |
| Citations received | 9 |
| References cited | 14 |
This article assesses the bias and fit of a hazard rate model by comparing predicted and nonparametric estimates of survivor probabilities. These comparisons also generate several diagnostic displays for event history data. We illustrate these diagnostic methods for several global and local hazard models using data on age at first marriage for women from the June 1980 Current Population Survey. Our results suggest that a nonproportional local Gompertz model performs better than other models we examined
Confidence interval · Current Population Survey · Econometrics · Event (particle physics) · Hazard · Hazard model · Hazard ratio · Nonparametric statistics · Population · Sociology · Statistics · Agricultural risk and resilience · Demography · Health and Conflict Studies · Insurance, Mortality, Demography, Risk Management · Mathematics
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| Unique citing works | 9 |
|---|---|
| Citations per year | 0,27 |
| Citation span | 1993 - 2006 (14) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 6 |