340 related articles for article (PubMed ID: 33243085)
1. Bayesian mixture cure rate frailty models with an application to gastric cancer data.
Karamoozian A; Baneshi MR; Bahrampour A
Stat Methods Med Res; 2021 Mar; 30(3):731-746. PubMed ID: 33243085
[TBL] [Abstract][Full Text] [Related]
2. Bayesian cure rate models induced by frailty in survival analysis.
de Souza D; Cancho VG; Rodrigues J; Balakrishnan N
Stat Methods Med Res; 2017 Oct; 26(5):2011-2028. PubMed ID: 28656796
[TBL] [Abstract][Full Text] [Related]
3. Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data.
Martinez EZ; Achcar JA; Jácome AA; Santos JS
Comput Methods Programs Biomed; 2013 Dec; 112(3):343-55. PubMed ID: 24008248
[TBL] [Abstract][Full Text] [Related]
4. Inferences for Weibull Fréchet Distribution Using a Bayesian and Non-Bayesian Methods on Gastric Cancer Survival Times.
El-Sagheer RM; Shokr EM; Mahmoud MAW; El-Desouky BS
Comput Math Methods Med; 2021; 2021():9965856. PubMed ID: 34135991
[TBL] [Abstract][Full Text] [Related]
5. Application of Parametric Shared Frailty Models to Analyze Time-to-Death of Gastric Cancer Patients.
Esayas Lelisho M; Akessa GM; Kifle Demissie D; Fikadu Yermosa S; Andargie SA; Tareke SA; Pandey D
J Gastrointest Cancer; 2023 Mar; 54(1):104-116. PubMed ID: 35064523
[TBL] [Abstract][Full Text] [Related]
6. Likelihood inference for COM-Poisson cure rate model with interval-censored data and Weibull lifetimes.
Pal S; Balakrishnan N
Stat Methods Med Res; 2017 Oct; 26(5):2093-2113. PubMed ID: 28656795
[TBL] [Abstract][Full Text] [Related]
7. Laplacian-P-splines for Bayesian inference in the mixture cure model.
Gressani O; Faes C; Hens N
Stat Med; 2022 Jun; 41(14):2602-2626. PubMed ID: 35699121
[TBL] [Abstract][Full Text] [Related]
8. Bayesian and Classical Inference for the Generalized Log-Logistic Distribution with Applications to Survival Data.
Muse AH; Mwalili S; Ngesa O; Almalki SJ; Abd-Elmougod GA
Comput Intell Neurosci; 2021; 2021():5820435. PubMed ID: 34671390
[TBL] [Abstract][Full Text] [Related]
9. Expectation maximization-based likelihood inference for flexible cure rate models with Weibull lifetimes.
Balakrishnan N; Pal S
Stat Methods Med Res; 2016 Aug; 25(4):1535-63. PubMed ID: 23740876
[TBL] [Abstract][Full Text] [Related]
10. Utilization of a Mixture Cure Rate Model based on the Generalized Modified Weibull Distribution for the Analysis of Leukemia Patients.
Omer ME; Abu Bakar M; Adam M; Mustafa M
Asian Pac J Cancer Prev; 2021 Apr; 22(4):1045-1053. PubMed ID: 33906295
[TBL] [Abstract][Full Text] [Related]
11. A new long-term survival model with dispersion induced by discrete frailty.
Cancho VG; Macera MAC; Suzuki AK; Louzada F; Zavaleta KEC
Lifetime Data Anal; 2020 Apr; 26(2):221-244. PubMed ID: 30968271
[TBL] [Abstract][Full Text] [Related]
12. Cure fraction estimation from the mixture cure models for grouped survival data.
Yu B; Tiwari RC; Cronin KA; Feuer EJ
Stat Med; 2004 Jun; 23(11):1733-47. PubMed ID: 15160405
[TBL] [Abstract][Full Text] [Related]
13. The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates.
Mazucheli J; Coelho-Barros EA; Achcar JA
Comput Methods Programs Biomed; 2013 Oct; 112(1):114-24. PubMed ID: 23932336
[TBL] [Abstract][Full Text] [Related]
14. A Weibull regression model with gamma frailties for multivariate survival data.
Sahu SK; Dey DK; Aslanidou H; Sinha D
Lifetime Data Anal; 1997; 3(2):123-37. PubMed ID: 9384618
[TBL] [Abstract][Full Text] [Related]
15. Estimation method of the semiparametric mixture cure gamma frailty model.
Peng Y; Zhang J
Stat Med; 2008 Nov; 27(25):5177-94. PubMed ID: 18613271
[TBL] [Abstract][Full Text] [Related]
16. Survival models induced by zero-modified power series discrete frailty: Application with a melanoma data set.
Molina KC; Calsavara VF; Tomazella VD; Milani EA
Stat Methods Med Res; 2021 Aug; 30(8):1874-1889. PubMed ID: 33955295
[TBL] [Abstract][Full Text] [Related]
17. Proportional hazards under Conway-Maxwell-Poisson cure rate model and associated inference.
Balakrishnan N; Barui S; Milienos FS
Stat Methods Med Res; 2017 Oct; 26(5):2055-2077. PubMed ID: 28523958
[TBL] [Abstract][Full Text] [Related]
18. Classical and Bayesian inference for the discrete Poisson Ramos-Louzada distribution with application to COVID-19 data.
Alkhairy I
Math Biosci Eng; 2023 Jun; 20(8):14061-14080. PubMed ID: 37679125
[TBL] [Abstract][Full Text] [Related]
19. Bayesian transformation cure frailty models with multivariate failure time data.
Yin G
Stat Med; 2008 Dec; 27(28):5929-40. PubMed ID: 18618427
[TBL] [Abstract][Full Text] [Related]
20. A transformation class for spatio-temporal survival data with a cure fraction.
Hurtado Rúa SM; Dey DK
Stat Methods Med Res; 2016 Feb; 25(1):167-87. PubMed ID: 22514030
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
