Literature DB >> 12230002

Quantifying the change of melanoma incidence by Breslow thickness.

Jing Qin1, Marianne Berwick, Rosie Ashbolt, Terry Dwyer.   

Abstract

Melanoma incidence has increased throughout the world over the past 25 years. A surrogate for the severity of melanoma is the Breslow thickness of the lesions. Data on melanoma, including Breslow thickness, were collected in 1978-1980 and 1988-1990 from the Tasmania Tumor Registry. We use a density ratio model to quantify the change of melanoma by Breslow thickness. In this model, the ratio of two densities is assumed to have a known form up to a parameter, but the underlying densities are not modeled. This model includes the length bias sampling model as a special case. The Kolmogorov-Smirnov test statistic is used to test the correctness of the density ratio model. Model-based cumulative distribution estimation is studied. Methodology developed in this article is applied to the Tasmania Tumor Registry data.

Entities:  

Mesh:

Year:  2002        PMID: 12230002     DOI: 10.1111/j.0006-341x.2002.00665.x

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


  9 in total

1.  Melanoma: is more diagnosis better?

Authors:  Marianne Berwick
Journal:  J Gen Intern Med       Date:  2006-07       Impact factor: 5.128

2.  Likelihood approaches for the invariant density ratio model with biased-sampling data.

Authors:  Yu Shen; Jing Ning; Jing Qin
Journal:  Biometrika       Date:  2012-03-30       Impact factor: 2.445

3.  Sun exposure and melanoma survival: a GEM study.

Authors:  Marianne Berwick; Anne S Reiner; Susan Paine; Bruce K Armstrong; Anne Kricker; Chris Goumas; Anne E Cust; Nancy E Thomas; Pamela A Groben; Lynn From; Klaus Busam; Irene Orlow; Loraine D Marrett; Richard P Gallagher; Stephen B Gruber; Hoda Anton-Culver; Stefano Rosso; Roberto Zanetti; Peter A Kanetsky; Terry Dwyer; Alison Venn; Julia Lee-Taylor; Colin B Begg
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-07-28       Impact factor: 4.254

4.  Understanding Causal Distributional and Subgroup Effects With the Instrumental Propensity Score.

Authors:  Jing Cheng; Winston Lin
Journal:  Am J Epidemiol       Date:  2018-03-01       Impact factor: 4.897

5.  Inference of Tamoxifen's Effects on Prevention of Breast Cancer from a Randomized Controlled Trial.

Authors:  Yu Shen; Jing Qin; Joseph P Costantino
Journal:  J Am Stat Assoc       Date:  2007-12-01       Impact factor: 5.033

6.  Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling.

Authors:  Gongjun Xu; Tony Sit; Lan Wang; Chiung-Yu Huang
Journal:  J Am Stat Assoc       Date:  2017-06-29       Impact factor: 5.033

Review 7.  Melanoma epidemiology and public health.

Authors:  Marianne Berwick; Esther Erdei; Jennifer Hay
Journal:  Dermatol Clin       Date:  2009-04       Impact factor: 3.478

Review 8.  Melanoma: what are the gaps in our knowledge.

Authors:  Jonathan L Rees
Journal:  PLoS Med       Date:  2008-06-03       Impact factor: 11.069

9.  Sun exposure and melanoma prognostic factors.

Authors:  Sara Gandini; Maurizio Montella; Fabrizio Ayala; Lucia Benedetto; Carlo Riccardo Rossi; Antonella Vecchiato; Maria Teresa Corradin; Vincenzo DE Giorgi; Paola Queirolo; Guido Zannetti; Giuseppe Giudice; Giovanni Borroni; Rosachiara Forcignanò; Ketty Peris; Giulio Tosti; Alessandro Testori; Giusto Trevisan; Francesco Spagnolo; Paolo A Ascierto
Journal:  Oncol Lett       Date:  2016-03-01       Impact factor: 2.967

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.