PreprintAll rights reservedmedRxiv
Surrogate methods for parameter inference in transmission dynamic models
- 1University of California Berkeley
Related
- Gender disparities and stage-dependent HIV transmission in Nanning, China: a dynamic modeling analysis of transmission routes and intervention effectiveness
- Benchmarking of bulk transcriptomic harmonization tools in a multi-platform B-cell lymphoma cohort identifies feature-specific quantile normalization and surrogate variable analysis as top-performing methods
- Accelerating the Radiology Learning Curve: How the Parameter-Based I-TIRADS Lexicon Enhances Interpretive Reliability and Learning Curves Across Resident Experience Levels-A Dynamic Video-Based Study.
- Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data
- Incidence and sociocultural influences on postnatal HIV transmission among HIV-exposed infants in Manyara Region, Tanzania: a convergent mixed-methods study.
BibTeX
@misc{lee2026surrogate,
title = {{Surrogate methods for parameter inference in transmission dynamic models}},
author = {P. C. Lee and K. Huang and S. Y. Tartof and I. Rodriguez-Barraquer and N. F. Müller and A. Schuler and J. Lewnard},
howpublished = {medRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.23.26363802},
url = {https://www.medrxiv.org/content/10.64898/2026.09.23.26363802v1},
}
RIS
TY - UNPB
TI - Surrogate methods for parameter inference in transmission dynamic models
AU - P. C. Lee
AU - K. Huang
AU - S. Y. Tartof
AU - I. Rodriguez-Barraquer
AU - N. F. Müller
AU - A. Schuler
AU - J. Lewnard
PY - 2026
DA - 2026/09/23
PB - medRxiv
DO - 10.64898/2026.09.23.26363802
UR - https://www.medrxiv.org/content/10.64898/2026.09.23.26363802v1
ER -