A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome
Publication
, Journal Article
Gao, F; Miller, JP; Xiong, C; Beiser, JA; Gordon, M
Published in: Statistical Methods & Applications
March 2011
Duke Scholars
Published In
Statistical Methods & Applications
DOI
EISSN
1613-981X
ISSN
1618-2510
Publication Date
March 2011
Volume
20
Issue
1
Start / End Page
83 / 100
Publisher
Springer Science and Business Media LLC
Related Subject Headings
- Statistics & Probability
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Gao, F., Miller, J. P., Xiong, C., Beiser, J. A., & Gordon, M. (2011). A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome. Statistical Methods & Applications, 20(1), 83–100. https://doi.org/10.1007/s10260-010-0150-z
Gao, Feng, J Philip Miller, Chengjie Xiong, Julia A. Beiser, and Mae Gordon. “A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome.” Statistical Methods & Applications 20, no. 1 (March 2011): 83–100. https://doi.org/10.1007/s10260-010-0150-z.
Gao F, Miller JP, Xiong C, Beiser JA, Gordon M. A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome. Statistical Methods & Applications. 2011 Mar;20(1):83–100.
Gao, Feng, et al. “A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome.” Statistical Methods & Applications, vol. 20, no. 1, Springer Science and Business Media LLC, Mar. 2011, pp. 83–100. Crossref, doi:10.1007/s10260-010-0150-z.
Gao F, Miller JP, Xiong C, Beiser JA, Gordon M. A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome. Statistical Methods & Applications. Springer Science and Business Media LLC; 2011 Mar;20(1):83–100.
Published In
Statistical Methods & Applications
DOI
EISSN
1613-981X
ISSN
1618-2510
Publication Date
March 2011
Volume
20
Issue
1
Start / End Page
83 / 100
Publisher
Springer Science and Business Media LLC
Related Subject Headings
- Statistics & Probability
- 0104 Statistics