References
- Achcar JA, Coelho-Barros EA, Cordeiro GM (2013). Beta distributions and related exponential models: a Bayesian approach. Braz J Probab Stat, 27, 1-19. https://doi.org/10.1214/10-BJPS133
- American Cancer Society (2013). Cancer Facts and Figures 2013. Atlanta: Am Can Soc. Available online Exit Disclaimer.
- Akaike, H. (1992). Information theory and an extension of the maximum likelihood principle. In Breakthroughs in Statistics, pp. 610-624. Springer New York.
- Ahmed SE, Budsaba K, Lisawadi S, Volodin AI (2008). Parametric estimation for the Birnbaum-Saunders lifetime distribution based on a new parameterization. J Thai Statistician, 6, 213-40.
- Ahmed SE (1992). Asymptotic estimation of reliability in a life-testing model. J Ind Math Soc, 41, 7-18.
- Ahmed SE, Tomkins RJ (1995). Estimating lognormal mean using uncertain prior information. Pak J Stat, 11, 67-92.
- Ali-Mousa MAM, Al-Sagheer SA (2006). Statistical inference for the Rayleigh model based on progressively type-II censored data. Statistics, 40, 149-57. https://doi.org/10.1080/02331880500520714
- Ahsanullah M, Ahmed SE (2001). Bayes and empirical Bayes estimates of survival and hazard functions of a class of distributions. Lect Notes Stat, 148, 81-7. https://doi.org/10.1007/978-1-4613-0141-7_6
- Baghestani AR, Hajizadeh E, Fatemi SR (2009). Bayesian analysis for survival of patients with gastric cancer in Iran. Asian Pac J Cancer Prev, 10, 823-6.
- Baklizi A (2004). Preliminary test estimation in the Rayleigh distribution using minimax regret significance levels. Pertanika J Sci & Techno, 12, 45-50.
-
Baklizi A (2008). Estimation of pr(XA
https://doi.org/10.1080/03610920701501921 - Berger JO (1985). Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, New York.
- Bernardo JM, Smith AFM (1994). Bayesian Theory. Wiley, New York.
- Choudhury A (2005). A simple derivation of moments of the exponentiated Weibull distribution. Metrika, 62, 17-22. https://doi.org/10.1007/s001840400351
- Congdon P (2005). Bayesian predictive model comparison via parallel sampling. Comput Stat Data Anal, 48, 735-53. https://doi.org/10.1016/j.csda.2004.03.016
- Congdon P (2007). Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes. Comput Stat Data Anal, 51, 3197-212. https://doi.org/10.1016/j.csda.2006.11.028
- Geisser S (1993). Predictive Inference: An Introduction. Chapman and Hall, New York.
- Gelman (2004). Parameterization and Bayesian modeling. J Am Stat Assoc, 99, 537-45. G https://doi.org/10.1198/016214504000000458
- Gelman A, Carlin JB, Stern HS, Rubin DB (2004). Bayesian Data Analysis, Chapman & Hall/CRC, New York.
- Gilks WR, Richardson S, Spiegelhalter DJ (1996). Markov Chain Monte Carlo in Practice. Chapman & Hall, Suffolk.
- Gupta RD, Kundu D (1999). Generalized exponential distributions. Aust NZ J Stat, 41, 173-88. https://doi.org/10.1111/1467-842X.00072
- Huria A (2012). Patterns of relapse and long-term complications of therapy in breast cancer survivors. UpToDate.
- Khan HMR (2012a). Estimating predictive inference for responses from the generalized rayleigh model based on complete sample. J Thai Statistician, 10, 53-68.
- Khan HMR (2012b). Several priors based inference from the exponential model under censoring. JP J Fund Appl Stat, 2, 1-13.
- Khan HMR (2013a). Comparing relative efficiency from a right skewed model. JP J Biostat, 9, 1-26.
- Khan HMR (2013b). Inferential estimates from the oneparameter half-normal model. J Thai Statistician, 11, 77-95.
- Khan HMR, Albatineh AN, Kheradia TN (2013). Local predictive estimates towards MLEs from the generalized half-normal model. J Stat Adv Theo Appl, 9, 73-98.
- Khan HMR, Haq MS, Provost SB (2004). Predictive distributions for responses from the Weibull life testing model. J Stat Theo Appl, 3, 53-73.
- Merck Manual of Diagnosis and Therapy (2012). Merckmanuals.
- Mudholkar GS, Srivastava DK (1993). Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Trans Rel, 42, 299-302. https://doi.org/10.1109/24.229504
- Mulle A, Homey B, Soto H, et al (2001). Involvement of chemokine receptors in breast cancer metastasis. Nature, 410, 50-6. https://doi.org/10.1038/35065016
- Nassar MM, Eissa FH (2003). On the exponentiated Weibull distribution. Commun Stat-Theor M, 32, 1317-36. https://doi.org/10.1081/STA-120021561
-
National Cancer Institute (2012). What You Need To Know
$About^{TM}$ Cancer: Understanding Cancer. - Raqab MZ (1995). On the maximum likelihood prediction of the exponential distribution based on double type II censored samples. Pak J Stat, 11,1-10.
- Raqab MZ (2009). Distribution-free prediction interval for the future current record statistics. Stat Papers, 50, 429-39. https://doi.org/10.1007/s00362-007-0082-3
- Thabane L (1998). Contributions to Bayesian Statistical Inference. Ph.D. Thesis, the University of Western Ontario, Canada.
- Thabane L, Haq MS (2000). Bayesian prediction from a compound statistical model: An actual application. Pak J Stat, 16, 110-25.
- Weibull W (1939). A statistical theory of the strength of materials. Available online Exit Disclaimer.
- World Health Organization (2004). World health report 2004: Global Burden of Disease. Geneva, World Health Organization.
- Wolfram Research (2012). The Mathematica Archive: Mathematica 8.0, Wolfram Research Inc, Illinois.
Cited by
- Statistical Applications for the Prediction of White Hispanic Breast Cancer Survival vol.15, pp.14, 2014, https://doi.org/10.7314/APJCP.2014.15.14.5571
- Health Disparities between Black Hispanic and Black Non-Hispanic Cervical Cancer Cases in the USA vol.15, pp.22, 2014, https://doi.org/10.7314/APJCP.2014.15.22.9719
- Model-Based Survival Estimates of Female Breast Cancer Data vol.15, pp.6, 2014, https://doi.org/10.7314/APJCP.2014.15.6.2893
- Survival Analysis for White Non-Hispanic Female Breast Cancer Patients vol.15, pp.9, 2014, https://doi.org/10.7314/APJCP.2014.15.9.4049
- Breast Cancer Statistics and Prediction Methodology: A Systematic Review and Analysis vol.16, pp.10, 2015, https://doi.org/10.7314/APJCP.2015.16.10.4237
- Importance of Meta-Analysis and Practical Obstacles in Oncological and Epidemiological Studies: Statistics Very Close but Also Far! vol.16, pp.3, 2015, https://doi.org/10.7314/APJCP.2015.16.3.1303
- Efficient estimation for the generalized exponential distribution vol.56, pp.4, 2015, https://doi.org/10.1007/s00362-014-0621-7
- Mining causal relationships among clinical variables for cancer diagnosis based on Bayesian analysis vol.8, pp.1, 2015, https://doi.org/10.1186/s13040-015-0046-4