Multivariate one‐sided tests for nonlinear mixed‐effects models
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Multivariate one‐sided hypotheses testing problems arise frequently in practice. Various tests have been developed, but mainly focused on multivariate normal distributions or contingency tables. In this article, motivated by HIV viral dynamic models, we study multivariate one‐sided tests in nonlinear mixed‐effects (NLME) models, for which no previous research has been carried out. We propose a likelihood ratio test (LRT), a Wald test, and a score test. Theoretical results are presented and computational issues are discussed. The proposed methods are evaluated using simulations. A real data example is presented to illustrate the methods. The Canadian Journal of Statistics 41: 453–465; 2013 © 2013 Statistical Society of Canada
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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