Causal Duration Analysis Based on Survival Probability Ratio
Bibliographic Data
| ID | 4016830 |
|---|---|
| Authors | J Y Choi (0000-0001-9439-5338, Hankuk University of Foreign Studies), Rangmi Myung (0000-0002-5776-1009, National Health Insurance Service), Meggan J Lee (0000-0002-3935-7491, Korea University, corresponding author) |
| Year | 2025 |
| Publication date | 2025-10-03 |
| 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 | 10.1177/00491241251382457 |
| OpenAlex | W4414788824 |
| Language | EN |
| References cited | 29 |
For causal effects of a binary treatment on a right-censored duration, the widely used proportional hazard contrasts are non-causal with unrealistic restrictions. This article proposes an alternative flexible causal approach, where we estimate the cumulative hazard, not the hazard itself, using an additive or "exponential-additive" specification with freely time-varying parameters. Our approach includes the proportional hazard as a highly special case that allows only monotonic survival probability ratios (SPR's), while our approach allows any shape of SPR's. An empirical analysis on recidivism using the duration until re-arrest after prison release on parole/probation is provided, where the SPR trajectory is not monotonic, but has an inverted-U shape over time
Duration (music) · Hazard · Hazard ratio · Monotonic function · Proportional hazards model · Recidivism · Survival analysis · Trajectory · Advanced Causal Inference Techniques · Statistical Methods and Inference · Statistical Methods in Clinical Trials
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| Citation velocity | historical |
|---|---|
| Highly cited | No |