Literature DB >> 20183437

Parametric modeling of localized melanoma prognosis and outcome.

Shouluan Ding1, Seng-Jaw Soong, Hui-Yi Lin, Renee Desmond, Charles M Balch.   

Abstract

This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

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Year:  2009        PMID: 20183437      PMCID: PMC2831414          DOI: 10.1080/10543400902964175

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  20 in total

1.  Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution.

Authors:  Christopher Cox; Haitao Chu; Michael F Schneider; Alvaro Muñoz
Journal:  Stat Med       Date:  2007-10-15       Impact factor: 2.373

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Journal:  Cancer       Date:  1981-10-01       Impact factor: 6.860

4.  Prognostic significance of DNA aneuploidy in stage I cutaneous melanoma.

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Journal:  Ann Surg       Date:  1988-04       Impact factor: 12.969

5.  Prognostic factors for stage I melanoma of the skin: a review.

Authors:  N Cascinelli; E Marubini; A Morabito; R Bufalino
Journal:  Stat Med       Date:  1985 Jul-Sep       Impact factor: 2.373

6.  A multifactorial analysis of melanoma. IV. Prognostic factors in 200 melanoma patients with distant metastases (stage III).

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Journal:  J Clin Oncol       Date:  1983-02       Impact factor: 44.544

7.  A comparison of prognostic factors and surgical results in 1,786 patients with localized (stage I) melanoma treated in Alabama, USA, and New South Wales, Australia.

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Journal:  Ann Surg       Date:  1982-12       Impact factor: 12.969

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Authors:  K T Drzewiecki; P K Andersen
Journal:  Cancer       Date:  1982-06-01       Impact factor: 6.860

9.  A multifactorial analysis of melanoma: III. Prognostic factors in melanoma patients with lymph node metastases (stage II).

Authors:  C M Balch; S J Soong; T M Murad; A L Ingalls; W A Maddox
Journal:  Ann Surg       Date:  1981-03       Impact factor: 12.969

10.  A multifactorial analysis of melanoma. II. Prognostic factors in patients with stage I (localized) melanoma.

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Journal:  Surgery       Date:  1979-08       Impact factor: 3.982

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  1 in total

1.  Survey of Patients with Cervical Cancer in Hospital UniversitiSains Malaysia: Survival Data Analysis with Time-Dependent Covariate.

Authors:  Nurliyana Juhan; Nuradhiathy Abd Razak; Yong Zulina Zubairi; Muhammad Naeem Khattak; Nyi Nyi Naing
Journal:  Iran J Public Health       Date:  2013-09       Impact factor: 1.429

  1 in total

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