Statistical Methods for Conditional Survival Analysis.
Publication
, Journal Article
Jung, S-H; Lee, HY; Chow, S-C
Published in: J Biopharm Stat
2018
We investigate the survival distribution of the patients who have survived over a certain time period. This is called a conditional survival distribution. In this paper, we show that one-sample estimation, two-sample comparison and regression analysis of conditional survival distributions can be conducted using the regular methods for unconditional survival distributions that are provided by the standard statistical software, such as SAS and SPSS. We conduct extensive simulations to evaluate the finite sample property of these conditional survival analysis methods. We illustrate these methods with real clinical data.
Duke Scholars
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Published In
J Biopharm Stat
DOI
EISSN
1520-5711
Publication Date
2018
Volume
28
Issue
5
Start / End Page
927 / 938
Location
England
Related Subject Headings
- Survival Analysis
- Statistics & Probability
- Proportional Hazards Models
- Models, Statistical
- Humans
- Data Interpretation, Statistical
- 4905 Statistics
- 3214 Pharmacology and pharmaceutical sciences
- 1115 Pharmacology and Pharmaceutical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Jung, S.-H., Lee, H. Y., & Chow, S.-C. (2018). Statistical Methods for Conditional Survival Analysis. J Biopharm Stat, 28(5), 927–938. https://doi.org/10.1080/10543406.2017.1405012
Jung, Sin-Ho, Ho Yun Lee, and Shein-Chung Chow. “Statistical Methods for Conditional Survival Analysis.” J Biopharm Stat 28, no. 5 (2018): 927–38. https://doi.org/10.1080/10543406.2017.1405012.
Jung S-H, Lee HY, Chow S-C. Statistical Methods for Conditional Survival Analysis. J Biopharm Stat. 2018;28(5):927–38.
Jung, Sin-Ho, et al. “Statistical Methods for Conditional Survival Analysis.” J Biopharm Stat, vol. 28, no. 5, 2018, pp. 927–38. Pubmed, doi:10.1080/10543406.2017.1405012.
Jung S-H, Lee HY, Chow S-C. Statistical Methods for Conditional Survival Analysis. J Biopharm Stat. 2018;28(5):927–938.
Published In
J Biopharm Stat
DOI
EISSN
1520-5711
Publication Date
2018
Volume
28
Issue
5
Start / End Page
927 / 938
Location
England
Related Subject Headings
- Survival Analysis
- Statistics & Probability
- Proportional Hazards Models
- Models, Statistical
- Humans
- Data Interpretation, Statistical
- 4905 Statistics
- 3214 Pharmacology and pharmaceutical sciences
- 1115 Pharmacology and Pharmaceutical Sciences