Bayesian prediction for flowgraph models with covariates. An application to bladder carcinoma

Autor: Cristina Santamaría, Belén García-Mora, J. L. Pontones, G. Rubio

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe

Statistical Flowgraph Models are an efficient tool to model multi-state stochastic processes. They support both frequentist and Bayesian approaches. Inclusion of covariates is also available. In this paper we propose an easy way to perform a Bayesian

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0103e0ed7c6aaa410cf156cf66d2fc82
https://doi.org/10.1016/j.cam.2015.03.045

Modelling the Recurrence of Bladder Cancer

Autor: Cristina Santamaría, Belén García-Mora, G. Rubio, J. L. Pontones

Publikováno v: Acta Applicandae Mathematicae. 104:91-105

The risk of a new tumor recurrence after transurethral resection (surgical operation) in patients with primary superficial bladder carcinoma is evaluated. As the exact time of the event is not known, it is suggested to consider interval-censored surv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54db79ff1b08a032110741bf0757286d
https://doi.org/10.1007/s10440-008-9242-2

A flowgraph model for bladder carcinoma

Autor: J. L. Pontones, Belén García-Mora, G. Rubio, Cristina Santamaría

Publikováno v: Theoretical Biology & Medical Modelling
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

Background: Superficial bladder cancer has been the subject of numerous studies for many years, but the evolution of the disease still remains not well understood. After the tumor has been surgically removed, it may reappear at a similar level of mal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::418c41b468eed008cd79ecb43059faa4
https://doi.org/10.1186/1742-4682-11-s1-s3

Computing survival functions of the sum of two independent Markov processes: an application to bladder carcinoma treatment

Autor: Belén García-Mora, J. L. Pontones, Cristina Santamaría, G. Rubio

Publikováno v: INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia

The study of the sum of two independent phase-type (PH)-distributed variables, each of them being asso- ciated with a Markovian process with one absorbing state, is considered in this paper. The distribution function of the variable sum is computed,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a69a7f0fc61fb5f9e9317e7a7e4a18a
https://fundanet.iislafe.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=8715

[Watchful waiting in incidental adenocarcinoma of the prostate]

Autor: E, Morán Pascual, C, Dicapua Sacoto, M, Trassierra Villa, J L, Pontones Moreno, J L, Ruiz Cerdá, J F, Jiménez Cruz

Publikováno v: Actas urologicas espanolas. 34(10)

To describe the outcome of patients diagnosed of incidental prostate adenocarcinoma managed by watchful waiting.We included patients with PSA4 ng/mL or higher with previous negative biopsy, who underwent surgery for BPH being diagnosed of incidental

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::368d45b1e3d85280c080c51e899a5a20
https://pubmed.ncbi.nlm.nih.gov/21159280