Literature DB >> 9750239

Estimating a distribution function of the tumor size at metastasis.

J L Xu1, P C Prorok.   

Abstract

In studying the relationship between the size of primary cancers and the occurrence of metastases, two quantities are of prime importance. The first is the distribution of tumor size at the point of metastatic transition, while the second is the probability that detectable metastases are present when cancer comes to medical attention. Kimmel and Flehinger (1991, Biometrics 47, 987-1004) developed a general nonparametric model and studied its two limiting cases. Because of unidentifiablity of their general model, a new identifiable model is introduced by making the hazard function for detecting a metastatic cancer a constant. The new model includes Kimmel and Flehinger's (1991) second limiting model as a special case. An estimator of the tumor size distribution at metastases is proposed. The result is applied to a set of colorectal cancer data.

Entities:  

Mesh:

Year:  1998        PMID: 9750239

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  3 in total

1.  Inference for constrained estimation of tumor size distributions.

Authors:  Debashis Ghosh; Moulinath Banerjee; Pinaki Biswas
Journal:  Biometrics       Date:  2008-03-27       Impact factor: 2.571

2.  A Mathematical Framework for Modelling the Metastatic Spread of Cancer.

Authors:  Linnea C Franssen; Tommaso Lorenzi; Andrew E F Burgess; Mark A J Chaplain
Journal:  Bull Math Biol       Date:  2019-03-22       Impact factor: 1.758

3.  Modeling the natural history and detection of lung cancer based on smoking behavior.

Authors:  Xing Chen; Millennia Foy; Marek Kimmel; Olga Y Gorlova
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.