The interest in estimating the probability of cure has been increasing in cancer survival analysis as the curability of many cancer diseases is becoming a reality. Mixture survival models provide a way of modelling time to death when cure is possible, simultaneously estimating death hazard of fatal
β¦ LIBER β¦
Prognostic models to predict overall and cause-specific survival for patients with middle ear cancer: a population-based analysis
β Scribed by Weidong Shen,Naoko Sakamoto,Limin Yang
- Book ID
- 126374558
- Publisher
- BioMed Central
- Year
- 2014
- Tongue
- English
- Weight
- 453 KB
- Volume
- 14
- Category
- Article
- ISSN
- 1471-2407
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Mixture models for cancer survival analy
β
R. De Angelis; R. Capocaccia; T. Hakulinen; B. Soderman; A. Verdecchia
π
Article
π
1999
π
John Wiley and Sons
π
English
β 140 KB
π 2 views
Analysis of Clinical Prognostic Factors
β
Ana L. Yuste; Jorge Aparicio; Angel Segura; Pedro LΓ³pez-Tendero; Regina GironΓ©s;
π
Article
π
2003
π
CIG Media Group, LP.
π
English
β 90 KB
Prognostic factors for survival of stage
β
S.-H. Ignatius Ou; Jason A. Zell; Argyrios Ziogas; Hoda Anton-Culver
π
Article
π
2007
π
John Wiley and Sons
π
English
β 180 KB
π 2 views
## Abstract ## BACKGROUND. Platinumβbased adjuvant chemotherapy in randomized trials has failed to provide a survival benefit in patients with resected stage I nonsmall cell lung cancer (NSCLC). Using data from the California Cancer Registry (CCR), we explored factors that had detrimental effects
Validation of a postoperative prognostic
β
Matthias May; Sabine Brookman-Amissah; Friederike Kendel; Nina Knoll; Jan Roigas
π
Article
π
2009
π
John Wiley and Sons
π
English
β 190 KB
Reply to Michael Froehner's Letter to th
β
Firas Abdollah; Maxine Sun; Francesco Montorsi; Pierre I. Karakiewicz
π
Article
π
2012
π
Elsevier Science
π
English
β 67 KB