| Bladder Cancer {DataSetsUni} | R Documentation |
The remission times of 128 patients suffering from bladder cancer
Description
The function allows to provide the remission times (in months) of 128 patients suffering from bladder cancer.
Usage
data_bldercancer
Arguments
data_bldercancer |
A vector of (non-negative integer) values. |
Details
The remission times (in months) of 128 patients suffering from bladder cancer. Recently, the data set is used by Bhatti et al. (2019) and fitted the Burr III-Marshal Olkin-Weibull distribution.
Value
data_bldercancer gives the remission times (in months) of 128 patients.
Author(s)
Muhammad Imran.
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Bhatti, F. A., Hamedani, G. G., Korkmaz, M. C., Cordeiro, G. M., Yousof, H. M., & Ahmad, M. (2019). On Burr III Marshal Olkin family: development, properties, characterizations and applications. Journal of Statistical Distributions and Applications, 6, 1-21.
Klakattawi, H. S. (2022). Survival analysis of cancer patients using a new extended Weibull distribution. Plos one, 17(2), e0264229.
Lemonte, A. J., & Cordeiro, G. M. (2013). An extended Lomax distribution. Statistics, 47(4), 800-816.
Lee, E. T., & Wang, J. (2003). Statistical methods for survival data analysis (Vol. 476). John Wiley & Sons.
Muhammad, M., Muhammad, I., & Yaya, A. M. (2018). The Kumaraswamy exponentiated U-quadratic distribution: Properties and application. Asian Journal of Probability and Statistics, 1(3), 1-17.
Kemaloglu, S. A., & Yilmaz, M. (2017). Transmuted two-parameter Lindley distribution. Communications in Statistics-Theory and Methods, 46(23), 11866-11879.
Elbatal, I., & Muhammed, H. Z. (2014). Exponentiated generalized inverse Weibull distribution. Applied Mathematical Sciences, 8(81), 3997-4012.
See Also
data_Bcancer, data_bloodcancer
Examples
x<-data_bldercancer
summary(x)