Bayesian Inference for Comorbid Disease Risks Using Marginal Disease Risks and Correlation Information From a Separate Source

Medical Decision Making - United States
doi 10.1177/0272989x10391269
Full Text
Abstract

Available in full text

Categories
Health Policy
Date
Authors
Publisher

SAGE Publications

Related search

Looking Out for New Disease Risks

Veterinary Record
MedicineVeterinary
2018English

Infectious Disease Risks Among Refugees From North Korea

International Journal of Infectious Diseases
MedicineInfectious DiseasesMicrobiology
2018English

Infectious Disease Risks in Xenotransplantation

American Journal of Transplantation
TransplantationAllergyImmunologyPharmacology
2018English

Global Environmental Change and Noncommunicable Disease Risks

Annual Review of Public Health
MedicineEnvironmentalPublic HealthOccupational Health
2019English

Medical Intervention for Disease Stages Using Game Theory, Markov Chains, and Bayesian Inference

International Journal of Statistics and Probability
2019English

Decoding Genetic Risks of Heart Disease

EBioMedicine
BiochemistryMedicineGeneticsMolecular Biology
2019English

New Techniques and Models for Assessing Ischemic Heart Disease Risks

Health Risk Analysis
Health PolicyPublic HealthOccupational HealthEnvironmentalHealth Informatics
2017English

Screening for Risks of Cardiovascular Disease in Children. A Preliminary Report

British Journal of Nutrition
MedicineNutritionDietetics
1976English

Risks and Benefits of Marginal Biomass-Derived Biochars for Plant Growth

Science of the Total Environment
DisposalEnvironmental ChemistryWaste ManagementEnvironmental EngineeringPollution
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy