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Exact vs. approximate computation: reconciling different estimates of Mycobacterium tuberculosis epidemiological parameters.

Authors
  • Aandahl, R Zachariah1
  • Stadler, Tanja
  • Sisson, Scott A
  • Tanaka, Mark M
  • 1 School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052 Australia. , (Australia)
Type
Published Article
Journal
Genetics
Publisher
The Genetics Society of America
Publication Date
Apr 01, 2014
Volume
196
Issue
4
Pages
1227–1230
Identifiers
DOI: 10.1534/genetics.113.158808
PMID: 24496011
Source
Medline
Keywords
License
Unknown

Abstract

Exact computational methods for inference in population genetics are intuitively preferable to approximate analyses. We reconcile two starkly different estimates of the reproductive number of tuberculosis from previous studies that used the same genotyping data and underlying model. This demonstrates the value of approximate analyses in validating exact methods.

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