Exact vs. approximate computation: reconciling different estimates of Mycobacterium tuberculosis epidemiological parameters.
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.
School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052 Australia.
R Zachariah
RZ
Aandahl
Tanja
T
Stadler
Scott A
SA
Sisson
Mark M
MM
Tanaka
D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D016013:Likelihood Functions; D009169:Mycobacterium tuberculosis / Q000502:physiology; D014376:Tuberculosis / Q000453:epidemiology* / Q000235:genetics / Q000382:microbiology* / Q000635:transmission
IS6110; Mycobacterium tuberculosis; approximate Bayesian computation; reproductive number; summary statistics