An adjustment for a post-randomization variable in the comparison of two treatments for survival Journal Article
| Author: | Heller, G. |
| Article Title: | An adjustment for a post-randomization variable in the comparison of two treatments for survival |
| Abstract: | A method is proposed to infer the randomized treatment effect on survival after an adjustment for a post-randomization variable. The post-randomization variable is made independent of the treatment assignment and is considered a surrogate for baseline prognostic factors. The relationship between the post-randomization surrogate and baseline prognostic factors for survival is considered smooth, but otherwise unknown. The effect of these factors on survival is modelled using the Cox proportional hazards model with a semi-parametric relative risk function. Likelihood based estimates and tests for the treatment effect are demonstrated. An example from a randomized clinical trial in cancer illustrates the methodology. Copyright © 2001 John Wiley & Sons, Ltd. |
| Keywords: | cancer survival; controlled study; treatment outcome; acute granulocytic leukemia; major clinical study; clinical trial; methodology; controlled clinical trial; models, biological; randomized controlled trial; proportional hazards models; risk; statistical analysis; randomized controlled trials; daunorubicin; idarubicin; antibiotics, antineoplastic; statistical model; likelihood functions; leukemia, myelocytic, acute; humans; prognosis; human; article |
| Journal Title: | Statistics in Medicine |
| Volume: | 20 |
| Issue: | 22 |
| ISSN: | 0277-6715 |
| Publisher: | John Wiley & Sons |
| Date Published: | 2001-11-30 |
| Start Page: | 3475 |
| End Page: | 3485 |
| Language: | English |
| DOI: | 10.1002/sim.968 |
| PUBMED: | 11746330 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Export Date: 21 May 2015 -- Source: Scopus |
