Threshold and Precision Analysis

Part of the Statistics for Biology and Health book series (SBH)

In the preceding chapter, we described the basic principle for interval mapping of QTLs within the maximum likelihood context, but two fundamental questions should be addressed toward the QTL analysis of complex traits. First, what is the critical threshold of the test statistic that can be used to declare the statistical significance of a QTL? Second, after the significant QTL is determined, how are the estimates of likelihoods and QTL parameters adequately precise to make a scientific inference about QTL position and effect? Statistically, these two questions present different aspects of QTL mapping, but we will describe them here in a single chapter as two important follow-ups of QTL mapping.


Doubled Haploid Nuisance Parameter Doubled Haploid Population Marker Interval Threshold Determination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science + Business Media, LLC 2007

Personalised recommendations