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Literature DB >> 22927554

Time to move on from 'time-to-first': should all events be included in the analysis of clinical trials?

Stefan D Anker, John J V McMurray.

Abstract

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Year: 2012 PMID： 22927554 DOI： 10.1093/eurheartj/ehs277

Source DB: PubMed Journal: Eur Heart J ISSN： 0195-668X Impact factor: 29.983

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20 in total

1. Home Time as a Patient-Centered Outcome in Administrative Claims Data.

Authors: Hemin Lee; Sandra M Shi; Dae Hyun Kim
Journal: J Am Geriatr Soc Date: 2018-12-21 Impact factor: 5.562

2. Recurrent events analysis for examination of hospitalizations in heart failure: insights from the Enhanced Feedback for Effective Cardiac Treatment (EFFECT) trial.

Authors: Juarez R Braga; Jack V Tu; Peter C Austin; Rinku Sutradhar; Heather J Ross; Douglas S Lee
Journal: Eur Heart J Qual Care Clin Outcomes Date: 2018-01-01

3. Biomarker predictors of cardiac hospitalization in chronic heart failure: a recurrent event analysis.

Authors: Esther Vorovich; Benjamin French; Bonnie Ky; Lee Goldberg; James C Fang; Nancy K Sweitzer; Thomas P Cappola
Journal: J Card Fail Date: 2014-06-11 Impact factor: 5.712

4. Statistical models for composite endpoints of death and non-fatal events: a review.

Authors: Lu Mao; KyungMann Kim
Journal: Stat Biopharm Res Date: 2021-07-06 Impact factor: 1.586

5. On recurrent-event win ratio.

Authors: Lu Mao; KyungMann Kim; Yi Li
Journal: Stat Methods Med Res Date: 2022-03-29 Impact factor: 2.494

6. Time-to-first-event versus recurrent-event analysis: points to consider for selecting a meaningful analysis strategy in clinical trials with composite endpoints.

Authors: Geraldine Rauch; Meinhard Kieser; Harald Binder; Antoni Bayes-Genis; Antje Jahn-Eimermacher
Journal: Clin Res Cardiol Date: 2018-02-16 Impact factor: 5.460

Time to move on from 'time-to-first': should all events be included in the analysis of clinical trials?

1. Home Time as a Patient-Centered Outcome in Administrative Claims Data.

2. Recurrent events analysis for examination of hospitalizations in heart failure: insights from the Enhanced Feedback for Effective Cardiac Treatment (EFFECT) trial.

3. Biomarker predictors of cardiac hospitalization in chronic heart failure: a recurrent event analysis.

4. Statistical models for composite endpoints of death and non-fatal events: a review.

5. On recurrent-event win ratio.

6. Time-to-first-event versus recurrent-event analysis: points to consider for selecting a meaningful analysis strategy in clinical trials with composite endpoints.

7. On restricted mean time in favor of treatment.

8. Competing risks analyses: objectives and approaches.

9. Time spent outside of the hospital, CKD progression, and mortality: a prospective cohort study.

10. Heart failure re-admission: measuring the ever shortening gap between repeat heart failure hospitalizations.