PMID- 24410929
OWN - NLM
STAT- MEDLINE
DCOM- 20140903
LR  - 20211021
IS  - 1756-0500 (Electronic)
IS  - 1756-0500 (Linking)
VI  - 7
DP  - 2014 Jan 10
TI  - Biomarker selection for medical diagnosis using the partial area under the ROC 
      curve.
PG  - 25
LID - 10.1186/1756-0500-7-25 [doi]
AB  - BACKGROUND: A biomarker is usually used as a diagnostic or assessment tool in 
      medical research. Finding an ideal biomarker is not easy and combining multiple 
      biomarkers provides a promising alternative. Moreover, some biomarkers based on 
      the optimal linear combination do not have enough discriminatory power. As a 
      result, the aim of this study was to find the significant biomarkers based on the 
      optimal linear combination maximizing the pAUC for assessment of the biomarkers. 
      METHODS: Under the binormality assumption we obtain the optimal linear 
      combination of biomarkers maximizing the partial area under the receiver 
      operating characteristic curve (pAUC). Related statistical tests are developed 
      for assessment of a biomarker set and of an individual biomarker. Stepwise 
      biomarker selections are introduced to identify those biomarkers of statistical 
      significance. RESULTS: The results of simulation study and three real examples, 
      Duchenne Muscular Dystrophy disease, heart disease, and breast tissue example are 
      used to show that our methods are most suitable biomarker selection for the data 
      sets of a moderate number of biomarkers. CONCLUSIONS: Our proposed biomarker 
      selection approaches can be used to find the significant biomarkers based on 
      hypothesis testing.
FAU - Hsu, Man-Jen
AU  - Hsu MJ
AD  - Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan. 
      95354503@nccu.edu.tw.
FAU - Chang, Yuan-Chin Ivan
AU  - Chang YC
FAU - Hsueh, Huey-Miin
AU  - Hsueh HM
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140110
PL  - England
TA  - BMC Res Notes
JT  - BMC research notes
JID - 101462768
RN  - 0 (Biomarkers)
SB  - IM
MH  - Algorithms
MH  - Area Under Curve
MH  - Biomarkers/*analysis
MH  - Breast Diseases/pathology
MH  - Computer Simulation
MH  - Coronary Artery Disease/blood
MH  - *Diagnosis
MH  - Electric Impedance
MH  - Genetic Carrier Screening
MH  - Muscular Dystrophy, Duchenne/blood/genetics
MH  - Normal Distribution
MH  - *ROC Curve
MH  - Sensitivity and Specificity
PMC - PMC3923449
EDAT- 2014/01/15 06:00
MHDA- 2014/09/04 06:00
PMCR- 2014/01/10
CRDT- 2014/01/14 06:00
PHST- 2013/09/25 00:00 [received]
PHST- 2013/12/23 00:00 [accepted]
PHST- 2014/01/14 06:00 [entrez]
PHST- 2014/01/15 06:00 [pubmed]
PHST- 2014/09/04 06:00 [medline]
PHST- 2014/01/10 00:00 [pmc-release]
AID - 1756-0500-7-25 [pii]
AID - 10.1186/1756-0500-7-25 [doi]
PST - epublish
SO  - BMC Res Notes. 2014 Jan 10;7:25. doi: 10.1186/1756-0500-7-25.