Literature DB >> 11677829

Confidence bands for the difference of two survival curves under proportional hazards model.

M J Zhang1, J P Klein.   

Abstract

A common approach to testing for differences between the survival rates of two therapies is to use a proportional hazards regression model which allows for an adjustment of the two survival functions for any imbalance in prognostic factors in the comparison. When the relative risk of one treatment to the other is not constant over time the question of which therapy has a survival advantage is difficult to determine from the Cox model. An alternative approach to this problem is to plot the difference between the two predicted survival functions with a confidence band that provides information about when these two treatments differ. Such a band will depend on the covariate values of a given patient. In this paper we show how to construct a confidence band for the difference of two survival functions based on the proportional hazards model. A simulation approach is used to generate the bands. This approach is used to compare the survival probabilities of chemotherapy and allogeneic bone marrow transplants for chronic leukemia.

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Year:  2001        PMID: 11677829     DOI: 10.1023/a:1011636407958

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  3 in total

1.  Methods for comparing cumulative hazard functions in a semi-proportional hazard model.

Authors:  D M Dabrowska; K A Doksum; N J Feduska; R Husing; P Neville
Journal:  Stat Med       Date:  1992-08       Impact factor: 2.373

2.  A linear regression model for the analysis of life times.

Authors:  O O Aalen
Journal:  Stat Med       Date:  1989-08       Impact factor: 2.373

3.  Survival with bone marrow transplantation versus hydroxyurea or interferon for chronic myelogenous leukemia. The German CML Study Group.

Authors:  R P Gale; R Hehlmann; M J Zhang; J Hasford; J M Goldman; H Heimpel; A Hochhaus; J P Klein; H J Kolb; P B McGlave; J R Passweg; P A Rowlings; K A Sobocinski; M M Horowitz
Journal:  Blood       Date:  1998-03-01       Impact factor: 22.113

  3 in total
  8 in total

1.  Semiparametric simultaneous confidence bands for the difference of survival functions.

Authors:  Nubyra Ahmed; Sundarraman Subramanian
Journal:  Lifetime Data Anal       Date:  2015-10-14       Impact factor: 1.588

2.  Allogeneic transplants in follicular lymphoma: higher risk of disease progression after reduced-intensity compared to myeloablative conditioning.

Authors:  Parameswaran Hari; Jeanette Carreras; Mei-Jie Zhang; Robert Peter Gale; Brian J Bolwell; Christopher N Bredeson; Linda J Burns; Mitchell S Cairo; César O Freytes; Steven C Goldstein; Gregory A Hale; David J Inwards; Charles F Lemaistre; Dipnarine Maharaj; David I Marks; Harry C Schouten; Shimon Slavin; Julie M Vose; Hillard M Lazarus; Koen van Besien
Journal:  Biol Blood Marrow Transplant       Date:  2008-02       Impact factor: 5.742

3.  Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model.

Authors:  Jianguo Sun; Yanqin Feng; Hui Zhao
Journal:  Lifetime Data Anal       Date:  2013-09-27       Impact factor: 1.588

4.  Simultaneous confidence bands for Cox regression from semiparametric random censorship.

Authors:  Shoubhik Mondal; Sundarraman Subramanian
Journal:  Lifetime Data Anal       Date:  2015-02-18       Impact factor: 1.588

5.  A SAS macro for estimating direct adjusted survival functions for time-to-event data with or without left truncation.

Authors:  Zhen-Huan Hu; Hai-Lin Wang; Robert Peter Gale; Mei-Jie Zhang
Journal:  Bone Marrow Transplant       Date:  2021-08-19       Impact factor: 5.174

6.  Validation of a proliferation-based expression signature as prognostic marker in early stage lung adenocarcinoma.

Authors:  Ignacio I Wistuba; Carmen Behrens; Francesca Lombardi; Susanne Wagner; Junya Fujimoto; M Gabriela Raso; Lorenzo Spaggiari; Domenico Galetta; Robyn Riley; Elisha Hughes; Julia Reid; Zaina Sangale; Steven G Swisher; Neda Kalhor; Cesar A Moran; Alexander Gutin; Jerry S Lanchbury; Massimo Barberis; Edward S Kim
Journal:  Clin Cancer Res       Date:  2013-09-18       Impact factor: 12.531

7.  Direct adjusted survival and cumulative incidence curves for observational studies.

Authors:  Zhen-Huan Hu; Robert Peter Gale; Mei-Jie Zhang
Journal:  Bone Marrow Transplant       Date:  2019-05-17       Impact factor: 5.483

8.  Comparing treatments in the presence of crossing survival curves: an application to bone marrow transplantation.

Authors:  Brent R Logan; John P Klein; Mei-Jie Zhang
Journal:  Biometrics       Date:  2008-01-11       Impact factor: 1.701

  8 in total

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