Using Cure Models for Analyzing the Influence of Pathogens on Salmon Survival

Autor:	Russell W. Perry, Nicholas A. Som, R. Adam Ray, Jerri L. Bartholomew
Rok vydání:	2014
Předmět:	education.field_of_study Population Outbreak Aquatic Science Biology Accelerated failure time model Logistic regression biology.organism_classification Population model Ceratomyxa shasta Oncorhynchus education Ecology Evolution Behavior and Systematics Survival analysis Demography
Zdroj:	Transactions of the American Fisheries Society. 143:387-398
ISSN:	1548-8659 0002-8487
Popis:	Parasites and pathogens influence the size and stability of wildlife populations, yet many population models ignore the population-level effects of pathogens. Standard survival analysis methods (e.g., accelerated failure time models) are used to assess how survival rates are influenced by disease. However, they assume that each individual is equally susceptible and will eventually experience the event of interest; this assumption is not typically satisfied with regard to pathogens of wildlife populations. In contrast, mixture cure models, which comprise logistic regression and survival analysis components, allow for different covariates to be entered into each part of the model and provide better predictions of survival when a fraction of the population is expected to survive a disease outbreak. We fitted mixture cure models to the host–pathogen dynamics of Chinook Salmon Oncorhynchus tshawytscha and Coho Salmon O. kisutch and the myxozoan parasite Ceratomyxa shasta. Total parasite concentration, ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::84a4d4ddb4ab4f5435fc0292ebf22f55 https://doi.org/10.1080/00028487.2013.862183 Zobrazit plný text záznamu Plný text