Source:http://linkedlifedata.com/resource/pubmed/id/20338899
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
5
|
| pubmed:dateCreated |
2010-9-23
|
| pubmed:abstractText |
Developments in biotechnology and genomics have increased the focus of biostatisticians on prediction problems. This has led to many exciting developments for predictive modeling where the number of variables is larger than the number of cases. Heterogeneity of human diseases and new technology for characterizing them presents new opportunities and challenges for the design and analysis of clinical trials.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:month |
Oct
|
| pubmed:issn |
1740-7753
|
| pubmed:author | |
| pubmed:issnType |
Electronic
|
| pubmed:volume |
7
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
516-24
|
| pubmed:meshHeading |
pubmed-meshheading:20338899-Clinical Trials as Topic,
pubmed-meshheading:20338899-Humans,
pubmed-meshheading:20338899-Molecular Targeted Therapy,
pubmed-meshheading:20338899-Predictive Value of Tests,
pubmed-meshheading:20338899-Statistics as Topic,
pubmed-meshheading:20338899-Tumor Markers, Biological
|
| pubmed:year |
2010
|
| pubmed:articleTitle |
Clinical trials for predictive medicine: new challenges and paradigms.
|
| pubmed:affiliation |
Biometric Research Branch, National Cancer Institute, Bethesda, MD 20892-7434, USA. rsimon@nih.gov
|
| pubmed:publicationType |
Journal Article
|