scholarly journals Statistical Methods for Conditional Survival Analysis

2017 ◽  
Vol 28 (5) ◽  
pp. 927-938 ◽  
Author(s):  
Sin-Ho Jung ◽  
Ho Yun Lee ◽  
Shein-Chung Chow
Keyword(s):  
Survival Analysis ◽  
Statistical Methods ◽  
Conditional Survival

scholarly journals Prognostic significance of early recurrence: a conditional survival analysis in patients with resected colorectal liver metastasis

HPB ◽  
2013 ◽  
Vol 15 (10) ◽  
pp. 803-813 ◽  
Author(s):  
Marcus C.B. Tan ◽  
Jean M. Butte ◽  
Mithat Gonen ◽  
Nancy Kemeny ◽  
Yuman Fong ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Liver Metastasis ◽  
Colorectal Liver Metastasis ◽  
Prognostic Significance ◽  
Early Recurrence ◽  
Conditional Survival

An overview on standard statistical methods for assessing exposure-outcome link in survival analysis (Part II): the Kaplan-Meier analysis and the Cox regression method

2012 ◽  
Vol 24 (3) ◽  
pp. 203-206 ◽  
Author(s):  
Samar Abd ElHafeez ◽  
Claudia Torino ◽  
Graziella D’Arrigo ◽  
Davide Bolignano ◽  
Fabio Provenzano ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Statistical Methods ◽  
Cox Regression ◽  
Regression Method ◽  
Kaplan Meier

scholarly journals Lymph node metastasis in melanoma: a debate on the significance of nodal metastases, conditional survival analysis and clinical trials

2018 ◽  
Vol 35 (5-6) ◽  
pp. 431-442 ◽  
Author(s):  
Mark B. Faries ◽  
Dale Han ◽  
Michael Reintgen ◽  
Lauren Kerivan ◽  
Douglas Reintgen ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Survival Analysis ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Conditional Survival ◽  
Nodal Metastases ◽  
Node Metastasis

scholarly journals A note on random intensities and conditional survival functions

1988 ◽  
Vol 25 (03) ◽  
pp. 630-635 ◽  
Author(s):  
Anatoli Yashin ◽  
Elja Arjas
Keyword(s):  
Survival Analysis ◽  
Random Process ◽  
Failure Probability ◽  
Counting Process ◽  
Sufficient Conditions ◽  
Necessary And Sufficient Conditions ◽  
Conditional Survival ◽  
Survival Functions ◽  
Exponential Formula ◽  
Necessary And Sufficient

Failure intensities in which the evaluation of hazard is based on the observation of an auxiliary random process have become very popular in survival analysis. While their definition is well known, either as the derivative of a conditional failure probability or in the counting process and martingale framework, their relationship to conditional survival functions does not seem to be equally well understood. This paper gives a set of necessary and sufficient conditions for the so-called exponential formula in this context.

scholarly journals Conditional survival analysis in Korean patients with gastric cancer undergoing curative gastrectomy

BMC Cancer ◽  
2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Jin Won Lee ◽  
Bandar Ali ◽  
Han Mo Yoo ◽  
Cho Hyun Park ◽  
Kyo Young Song
Keyword(s):  
Gastric Cancer ◽  
Survival Analysis ◽  
Conditional Survival ◽  
Curative Gastrectomy ◽  
Korean Patients
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