Literature DB >> 3521753

Treatment effects in competing-risks analysis of prostate cancer data.

R Kay.   

Abstract

Green and Byar (1980, Bulletin Cancer, Paris, 67, 477-488) have analysed some data from a randomised clinical trial comparing treatment for patients with prostate cancer in stages 3 and 4. These authors assessed the effects of treatment on survival using an exponential regression model with treatment by covariate interactions. Clinical considerations led to conclusions being drawn about the relationship between treatment and different causes of death. This paper presents a more direct approach for assessing treatment effect based on a model which recognizes the competing-risks nature of the problem. Methods for choosing the optimal treatment for particular patients, one of the aims of the Green and Byar work, are also discussed.

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Year:  1986        PMID: 3521753

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


  5 in total

1.  A causal framework for classical statistical estimands in failure-time settings with competing events.

Authors:  Jessica G Young; Mats J Stensrud; Eric J Tchetgen Tchetgen; Miguel A Hernán
Journal:  Stat Med       Date:  2020-01-27       Impact factor: 2.373

2.  On estimation for accelerated failure time models with small or rare event survival data.

Authors:  Tasneem Fatima Alam; M Shafiqur Rahman; Wasimul Bari
Journal:  BMC Med Res Methodol       Date:  2022-06-11       Impact factor: 4.612

3.  A multicentre comparative trial of sodium valproate and carbamazepine in adult onset epilepsy. Adult EPITEG Collaborative Group.

Authors:  A Richens; D L Davidson; N E Cartlidge; D J Easter
Journal:  J Neurol Neurosurg Psychiatry       Date:  1994-06       Impact factor: 10.154

4.  Model-based estimation of measures of association for time-to-event outcomes.

Authors:  Federico Ambrogi; Elia Biganzoli; Patrizia Boracchi
Journal:  BMC Med Res Methodol       Date:  2014-08-09       Impact factor: 4.615

Review 5.  Survival analysis part IV: further concepts and methods in survival analysis.

Authors:  T G Clark; M J Bradburn; S B Love; D G Altman
Journal:  Br J Cancer       Date:  2003-09-01       Impact factor: 7.640

  5 in total

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