The dynamics of adaptation by point mutations is accelerated when bacteria endure hypermutagenesis, for example following the implication of error-prone DNA polymerases in replicating damaged DNA (Tenaillon et al. 2004).
It is also important to emphasise that this work entirely separates random and systematic error and relates only to the implications of random error in the sense that it is assumed that any errors in measuring a variable are independent of the value of other variables.
It is therefore important to have some appreciation of the implications of measurement error for DSS study results and tolerable levels of errors and missing data.
However, as noted in section 2, the implications of measurement error for economic analysis will differ depending on whether the error is classical or non-classical in nature.
Awareness of the implications of genotyping error has increased greatly in recent years, and there is an emerging consensus that error rates should be estimated and reported, particularly when performing error-sensitive analyses such as parentage analysis or individual identification (Bonin et al. 2004; Hoffman and Amos, 2005; Pompanon et al. 2005; DeWoody et al. 2006).
To gain insight into the implications of sequencing error in phylogenomic applications, we performed a series of simple, descriptive analyses.
By contrast, assessments of the implications of observation error (arising from sampling limitations) for model precision are often lacking, but see [6], [7], perhaps due to a widespread acknowledgement of the ubiquity of sampling constraints [8].
In the case where the implications of an error are very serious (eg, missing the diagnosis of a cancer), different alpha and beta levels might be appropriate in the study design to assess clinical or biological significance.
The implications of these errors can be profound because many conservation plans for endangered wildlife are based on habitat use patterns derived from movement data [17].
By assessing the implications of random errors and omissions on population descriptions and mortality estimates using surveillance data collected over a 10-year period in BRHP, this study has addressed important issues regarding the effects of measurement error on DSS study results.
