Linked Life Data

12807956

Source:http://linkedlifedata.com/resource/pubmed/id/12807956

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
31
pubmed:dateCreated
2003-6-16
pubmed:abstractText
Appropriately sophisticated statistical approaches are crucial for addressing the increasingly complex set of critical questions that follow from the recognition that human papillomavirus (HPV) is a necessary causal factor for cervical cancer. Cervical cancer researchers have defined the major stages of cervical carcinogenesis, with HPV infection as the necessary cause. Focus of etiologic studies is shifting from establishing causality to determining risk factors for HPV persistence and neoplastic progression using serially collected biomarkers. Prevention-oriented epidemiology and trials of new screening strategies and vaccines will rely on surrogate endpoints because we cannot let women develop cancer when it can be prevented. Future epidemiologic and prevention studies of HPV infection and cervical carcinogenesis will exploit subtle pathologic distinctions and will employ improved measurements of complex molecular biologic phenomena. The anticipated statistical issues are highlighted in this discussion.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1052-6773
pubmed:author
pubmed:issnType
Print
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
125-30
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Chapter 18: Statistical issues in the design and analysis of studies of human papillomavirus and cervical neoplasia.
pubmed:affiliation
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health/DHHS, EPS 8046, Bethesda, MD 20892-7244, USA. wacholder@nih.gov
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review