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Sample size calculation for phylogenetic case linkage
by
Lessler, Justin
, Giles, John R.
, Wohl, Shirlee
in
Analysis
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Computer simulation
/ Computer-generated environments
/ Criteria
/ Disease transmission
/ Epidemics
/ Infections
/ Mathematical analysis
/ Medicine and Health Sciences
/ Methods
/ Pathogenic microorganisms
/ Pathogens
/ Phylogenetics
/ Phylogeny
/ Population studies
/ Public health
/ Sample size
2021
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Sample size calculation for phylogenetic case linkage
by
Lessler, Justin
, Giles, John R.
, Wohl, Shirlee
in
Analysis
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Computer simulation
/ Computer-generated environments
/ Criteria
/ Disease transmission
/ Epidemics
/ Infections
/ Mathematical analysis
/ Medicine and Health Sciences
/ Methods
/ Pathogenic microorganisms
/ Pathogens
/ Phylogenetics
/ Phylogeny
/ Population studies
/ Public health
/ Sample size
2021
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Do you wish to request the book?
Sample size calculation for phylogenetic case linkage
by
Lessler, Justin
, Giles, John R.
, Wohl, Shirlee
in
Analysis
/ Biology and Life Sciences
/ Computer and Information Sciences
/ Computer simulation
/ Computer-generated environments
/ Criteria
/ Disease transmission
/ Epidemics
/ Infections
/ Mathematical analysis
/ Medicine and Health Sciences
/ Methods
/ Pathogenic microorganisms
/ Pathogens
/ Phylogenetics
/ Phylogeny
/ Population studies
/ Public health
/ Sample size
2021
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Journal Article
Sample size calculation for phylogenetic case linkage
2021
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Overview
Sample size calculations are an essential component of the design and evaluation of scientific studies. However, there is a lack of clear guidance for determining the sample size needed for phylogenetic studies, which are becoming an essential part of studying pathogen transmission. We introduce a statistical framework for determining the number of true infector-infectee transmission pairs identified by a phylogenetic study, given the size and population coverage of that study. We then show how characteristics of the criteria used to determine linkage and aspects of the study design can influence our ability to correctly identify transmission links, in sometimes counterintuitive ways. We test the overall approach using outbreak simulations and provide guidance for calculating the sensitivity and specificity of the linkage criteria, the key inputs to our approach. The framework is freely available as the R package phylosamp , and is broadly applicable to designing and evaluating a wide array of pathogen phylogenetic studies.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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