পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Recidivism Survival Analysis× | কক্স প্রপোর্শনাল হ্যাজার্ডস× | |
|---|---|---|
| ক্ষেত্র≠ | Criminology | মহামারীবিদ্যা |
| পরিবার≠ | Survival analysis | Process / pipeline |
| উদ্ভবের বছর≠ | 1988 | 1972 |
| প্রবর্তক≠ | David R. Cox (method); Peter Schmidt & Ann Dryden Witte (criminological application) | Sir David Roxbee Cox |
| ধরন≠ | Time-to-event regression for reoffending | Semi-parametric regression model |
| মৌলিক উৎস≠ | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202. DOI ↗ | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. DOI ↗ |
| অপর নাম | Time-to-Recidivism Modeling, Recidivism Hazard Modeling, Failure-Time Analysis of Reoffending, Survival Analysis of Reoffending | Cox regression, Cox PH model, proportional hazards model, CPH |
| সম্পর্কিত≠ | 4 | 5 |
| সারসংক্ষেপ≠ | Recidivism survival analysis models the time from a release or index event until an individual reoffends, treating reoffending as a time-to-event ('failure') outcome with censoring for those not observed to fail. It applies survival methods — Kaplan-Meier curves, Cox proportional-hazards regression, and split-population models — to answer not just whether someone recidivates but how quickly and what raises or lowers that risk over time. | The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research. |
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