Published in

Oxford University Press, Genetics, 4(196), p. 1227-1230, 2014

DOI: 10.1534/genetics.113.158808

Links

Tools

Export citation

Search in Google Scholar

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

Journal article published in 2014 by R. Zachariah Aandahl, R. Zachariah Aandahl, Tanja Stadler ORCID, Scott A. Sisson ORCID, Mark M. Tanaka
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Orange circle
Postprint: archiving restricted
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

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.