Allelic drop-out probabilities estimated by logistic regression: Further considerations and practical implementation

Torben Tvedebrink, Poul Svante Eriksen, Maria Asplund, Helle Smidt Mogensen, Niels Morling

Research output: Contribution to journalJournal articleResearchpeer-review

39 Citations (Scopus)

Abstract

We discuss the model for estimating drop-out probabilities presented by Tvedebrink et al. [7] and the concerns, that have been raised. The criticism of the model has demonstrated that the model is not perfect. However, the model is very useful for advanced forensic genetic work, where allelic drop-out is occurring. With this discussion, we hope to improve the drop-out model, so that it can be used for practical forensic genetics and stimulate further discussions. We discuss how to estimate drop-out probabilities when using a varying number of PCR cycles and other experimental conditions.
Original languageEnglish
JournalForensic Science International: Genetics
Volume6
Issue number2
Pages (from-to)263-267
Number of pages5
ISSN1872-4973
DOIs
Publication statusPublished - 2012

Fingerprint

Dive into the research topics of 'Allelic drop-out probabilities estimated by logistic regression: Further considerations and practical implementation'. Together they form a unique fingerprint.

Cite this