title: Genotype combinations analysis by truncate wald’s method to estimate the disease risk
metadata.name: dc.contributor.author
metadata.value: Kochetkov, Valeriy M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Obraztsova, Galina I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Glotov, Andrey S.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-08-02T09:21:03Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-08-02T09:21:03Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016-03
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/2511
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: On basis of candidate genes genotypes choice a method is proposed to reveal the susceptibility to
  disease. The procedure of decision on a patient belonging to risk group is described. An algorithm of
  heterogeneity degree evaluation for the tables containing information on genotypes of risk and control
  groups is considered. Some calculation restrictions of the method and possibilities of its modification
  for large tables are pointed to. Refs 9. Fig. 1.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Series 11. Medicine;Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: arterial hypertension
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: candidate genes
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: sequential analysis
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Genotype combinations analysis by truncate wald’s method to estimate the disease risk
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: Кочетков_Глотов_Образцова.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/2511/1/%d0%9a%d0%be%d1%87%d0%b5%d1%82%d0%ba%d0%be%d0%b2_%d0%93%d0%bb%d0%be%d1%82%d0%be%d0%b2_%d0%9e%d0%b1%d1%80%d0%b0%d0%b7%d1%86%d0%be%d0%b2%d0%b0.pdf
resources.format: Adobe PDF
resources.size: 221,55 kB