Results 141 to 150 of about 104,065,213 (151)

Adaptation of a Probabilistic Method (InterVA) of Verbal Autopsy to Improve the Interpretation of Cause of Stillbirth and Neonatal Death in Malawi, Nepal, and Zimbabwe [PDF]

open access: yesPopulation Health Metrics, 2011
Background Verbal autopsy (VA) is a widely used method for analyzing cause of death in absence of vital registration systems. We adapted the InterVA method to extrapolate causes of death for stillbirths and neonatal deaths from verbal autopsy ...
Peter Byass   +2 more
exaly   +4 more sources

Performance of InterVA for Assigning Causes of Death to Verbal Autopsies: Multisite Validation Study Using Clinical Diagnostic Gold Standards [PDF]

open access: yesPopulation Health Metrics, 2011
Background: InterVA is a widely disseminated tool for cause of death attribution using information from verbal autopsies. Several studies have attempted to validate the concordance and accuracy of the tool, but the main limitation of these studies is ...
Alan D. Lopez   +2 more
exaly   +3 more sources

How Much Do the Physician Review and InterVA Model Agree in Determining Causes of Death? A Comparative Analysis of Deaths in Rural Ethiopia [PDF]

open access: yesBMC Public Health, 2015
How much do the physician review and InterVA model agree in determining causes of death?
Geert Jan Dinant   +2 more
exaly   +3 more sources

Probabilistic Methods for Verbal Autopsy Interpretation: InterVA Robustness in Relation to Variations in a Priori Probabilities [PDF]

open access: yesPLoS ONE, 2011
InterVA is a probabilistic method for interpreting verbal autopsy (VA) data. It uses a priori approximations of probabilities relating to diseases and symptoms to calculate the probability of specific causes of death given reported symptoms recorded in a
Peter Byass   +2 more
exaly   +3 more sources
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Evaluating the InterVA Model for Determining AIDS Mortality From Verbal Autopsies in the Adult Population of Addis Ababa

Tropical Medicine and International Health, 2010
Peter Byass   +2 more
exaly  

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