A note on bayesian nonparametric survival function estimators for combined cohort data
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Bibliographic record
Abstract
The availability of both right‐censored and left‐truncated right‐censored failure time data commonly occurs when failure/censoring times are collected by cross‐sectioning the population and acquiring new failure/censoring times during a follow‐up period. Under a frequentist paradigm, the Kaplan‐Meier estimator can be adjusted to account for both types of data separately when estimating the failure time survival function. In this note, we review the analogous Bayesian nonparametric survival function estimators that are applicable to the individual types of data, separately, and propose two Bayesian nonparametric survival function estimators using both the right‐censored and left‐truncated right‐censored failure time data, simultaneously.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it