Survival probabilities with time-dependent treatment indicator: quantities and non-parametric estimators-Reference-Cited by-同舟云学术

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Survival probabilities with time-dependent treatment indicator: quantities and non-parametric estimators

Published:2015-10-26 Issue:7 Volume:35 Page:1032-1048
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Bernasconi Davide Paolo¹,Rebora Paola¹,Iacobelli Simona²³,Valsecchi Maria Grazia¹,Antolini Laura¹

Affiliation:

1. Center of Biostatistics for Clinical Epidemiology, Department of Health Sciences; University Milano-Bicocca; Monza Italy

2. Centro Interdipartimentale di Biostatistica a Bioinformatica; Università Tor Vergata; Rome Italy

3. Chronic Malignancies Working Party of the European Group for Blood and Marrow Transplantation; Leiden The Netherlands

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference35 articles.

1. Comparison of allogeneic stem cell transplantation and non-transplant approaches in elderly patients with advanced myelodysplastic syndrome: optimal statistical approaches and a critical appraisal of clinical results using non-randomized data;Brand;PLoS ONE,2013

2. Event history graphs for censored survival data;Dubin;Statistics in Medicine,2001

3. Illustrating the impact of a time-varying covariate with an extended Kaplan-Meier estimator;Snapinn;The American Statistician,2005

4. An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation;Beyersmann;Journal of Clinical Epidemiology,2008

5. Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias;Wolkewitz;Journal of Clinical Epidemiology,2012

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