title: Allelic drop-out probabilities estimated by logistic regression--further considerations and practical implementation.
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.
authors: Department of Mathematical Sciences, Aalborg University, Fredrik Bajers Vej 7G, DK-9220 Aalborg East, Denmark. tvede@math.aau.dk
authors: Torben
authors: T
authors: Tvedebrink
authors: Poul Svante
authors: PS
authors: Eriksen
authors: Maria
authors: M
authors: Asplund
authors: Helle Smidt
authors: HS
authors: Mogensen
authors: Niels
authors: N
authors: Morling
mesh_terms: D000483:Alleles; D016172:DNA Fingerprinting; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D018895:Microsatellite Repeats; D008957:Models, Genetic; D016133:Polymerase Chain Reaction; D011336:Probability