منابع مشابه
Estimating Per-Locus Mutation Rates
Relative per-locus mutation rates for Y-DNA microsatellites, and also for mitochondrial DNA singlenucleotide polymorphisms, can be estimated directly from diverse collections of haplotypes without segregating population components. The calibrated average mutation rates for the FTDNA panels of 12, 25, and 37 loci are 0.00187±0.00028, 0.00278±0.00042, and 0.00492±0.00074, respectively, from a col...
متن کاملDropout rates for intent-to-treat and per protocol analyses.
PURPOSE To describe dropout rates for the intent-to-treat and per protocol analyses from prospective clinical trials. METHODS Review of prospective multi-center parallel studies of 100 patients or more from 1996 onwards. RESULTS We identified 33 articles (70 treatment arms) that fit the criteria for this study. No statistical differences in dropout rates were observed among drug classes for...
متن کاملAn estimation of growth parameter, mortality rates and yield-per-recruit for beluga (Huso huso) living in Caspian Sea
This paper presents the results of study on age, growth, mortality rates and yield-per-recruit of Beluga (Huso huso) living in Caspian Sea. The mean length of successive years, mortality rates and yield-per-recruit studies indicated that at present the resource is under heavy fishing pressure. For the female Beluga growth was regarded as comprising of three stages, and the von Bertalanffy param...
متن کاملAn estimation of growth parameter, mortality rates and yield-per-recruit for beluga (Huso huso) living in Caspian Sea
This paper presents the results of study on age, growth, mortality rates and yield-per-recruit of Beluga (Huso huso) living in Caspian Sea. The mean length of successive years, mortality rates and yield-per-recruit studies indicated that at present the resource is under heavy fishing pressure. For the female Beluga growth was regarded as comprising of three stages, and the von Bertalanffy param...
متن کاملNomograms for Visualizing Linear Support Vector Machines
Support vector machines are often considered to be black box learning algorithms. We show that for linear kernels it is possible to open this box and visually depict the content of the SVM classifier in high-dimensional space in the interactive format of a nomogram. We provide a crosscalibration method for obtaining probabilistic predictions from any SVM classifier, which control for the genera...
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ژورنال
عنوان ژورنال: BMJ
سال: 1963
ISSN: 0959-8138,1468-5833
DOI: 10.1136/bmj.1.5324.169