Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models-Reference-Cited by-同舟云学术

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Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models

Published:2002-10-28 Issue:22 Volume:47 Page:3893-3924
ISSN:0031-9155
Container-title:Physics in Medicine and Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Mould R F,Lederman M,Tai P,Wong J K M

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference47 articles.

1. The distribution of cancer deaths in time. A survey test of the lognormal model

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2. On the Existence and Uniqueness of the Maximum Likelihood Estimators of Normal and Lognormal Population Parameters with Grouped Data;Journal of Probability and Statistics;2009

3. A superstatistical model of metastasis and cancer survival;Physica A: Statistical Mechanics and its Applications;2008-05

4. Meta Analysis of Advanced Cancer Survival Data Using Lognormal Parametric Fitting: A Statistical Method to Identify Effective Treatment Protocols;Current Pharmaceutical Design;2007-05-01

5. Short- and long-term cause-specific survival of patients with inflammatory breast cancer;BMC Cancer;2005-10-22

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