A statistic for comparing two correlated markers which are prognostic for time to an event.
Publication
, Journal Article
Jung, SH; Wieand, S; Cha, SS
Published in: Stat Med
October 30, 1995
A proliferation of biologic markers has led to increased interest in methods for comparing the prognostic value of markers in predicting time to recurrence of or death from disease. This paper proposes a nonparametric test statistic for comparing two continuous markers when the outcome of interest is time to an event and the outcome is subject to right censoring. Results from Monte Carlo studies show that the new testing procedure is reliable for practical use. We present an example in which we use the statistic successfully in a colon cancer study to select between two potentially useful markers.
Duke Scholars
Published In
Stat Med
DOI
ISSN
0277-6715
Publication Date
October 30, 1995
Volume
14
Issue
20
Start / End Page
2217 / 2225
Location
England
Related Subject Headings
- Time Factors
- Statistics, Nonparametric
- Statistics & Probability
- S Phase
- Reproducibility of Results
- Recurrence
- Prognosis
- Logistic Models
- Humans
- G2 Phase
Citation
APA
Chicago
ICMJE
MLA
NLM
Jung, S. H., Wieand, S., & Cha, S. S. (1995). A statistic for comparing two correlated markers which are prognostic for time to an event. Stat Med, 14(20), 2217–2225. https://doi.org/10.1002/sim.4780142005
Jung, S. H., S. Wieand, and S. S. Cha. “A statistic for comparing two correlated markers which are prognostic for time to an event.” Stat Med 14, no. 20 (October 30, 1995): 2217–25. https://doi.org/10.1002/sim.4780142005.
Jung SH, Wieand S, Cha SS. A statistic for comparing two correlated markers which are prognostic for time to an event. Stat Med. 1995 Oct 30;14(20):2217–25.
Jung, S. H., et al. “A statistic for comparing two correlated markers which are prognostic for time to an event.” Stat Med, vol. 14, no. 20, Oct. 1995, pp. 2217–25. Pubmed, doi:10.1002/sim.4780142005.
Jung SH, Wieand S, Cha SS. A statistic for comparing two correlated markers which are prognostic for time to an event. Stat Med. 1995 Oct 30;14(20):2217–2225.
Published In
Stat Med
DOI
ISSN
0277-6715
Publication Date
October 30, 1995
Volume
14
Issue
20
Start / End Page
2217 / 2225
Location
England
Related Subject Headings
- Time Factors
- Statistics, Nonparametric
- Statistics & Probability
- S Phase
- Reproducibility of Results
- Recurrence
- Prognosis
- Logistic Models
- Humans
- G2 Phase