Literature DB >> 33642726

Survival analysis-part 2: Cox proportional hazards model.

Salil Vasudeo Deo1,2, Vaishali Deo2, Varun Sundaram1,2,3,4.   

Abstract

Learning objectives: 1. To understand the log-rank test and limitations of the log-rank test in comparing survival between groups. 2. To understand the fundamental concepts of the proportional hazards assumption. 3. To understand basic steps in the development of the Cox proportional hazards model and reported hazard ratios. 4. To understand how results of a Cox model run using STATA© (a commonly used proprietary statistical software) can be understood and interpreted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12055-020-01108-7. © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021.

Entities:  

Keywords:  Biostatistics; Cox proportional hazards regression; Hazard rate; Survival analysis

Year:  2021        PMID: 33642726      PMCID: PMC7876211          DOI: 10.1007/s12055-020-01108-7

Source DB:  PubMed          Journal:  Indian J Thorac Cardiovasc Surg        ISSN: 0970-9134


  7 in total

Review 1.  The logrank test.

Authors:  J Martin Bland; Douglas G Altman
Journal:  BMJ       Date:  2004-05-01

Review 2.  The simplest statistical test: how to check for a difference between treatments.

Authors:  Stuart J Pocock
Journal:  BMJ       Date:  2006-05-27

3.  Time-to-Event Analysis.

Authors:  Juliana Tolles; Roger J Lewis
Journal:  JAMA       Date:  2016-03-08       Impact factor: 56.272

Review 4.  Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials: JACC Review Topic of the Week.

Authors:  John Gregson; Linda Sharples; Gregg W Stone; Carl-Fredrik Burman; Fredrik Öhrn; Stuart Pocock
Journal:  J Am Coll Cardiol       Date:  2019-10-22       Impact factor: 24.094

Review 5.  Proportional hazards (Cox) regression.

Authors:  M H Katz; W W Hauck
Journal:  J Gen Intern Med       Date:  1993-12       Impact factor: 5.128

6.  Coronary-Artery Bypass Surgery in Patients with Ischemic Cardiomyopathy.

Authors:  Eric J Velazquez; Kerry L Lee; Robert H Jones; Hussein R Al-Khalidi; James A Hill; Julio A Panza; Robert E Michler; Robert O Bonow; Torsten Doenst; Mark C Petrie; Jae K Oh; Lilin She; Vanessa L Moore; Patrice Desvigne-Nickens; George Sopko; Jean L Rouleau
Journal:  N Engl J Med       Date:  2016-04-03       Impact factor: 91.245

Review 7.  Survival Analysis and Interpretation of Time-to-Event Data: The Tortoise and the Hare.

Authors:  Patrick Schober; Thomas R Vetter
Journal:  Anesth Analg       Date:  2018-09       Impact factor: 5.108

  7 in total
  1 in total

1.  Cox model and decision trees: an application to breast cancer data.

Authors:  Lucas Cardoso Pereira; Sóstenes Jerônimo da Silva; Cleanderson Romualdo Fidelis; Alisson de Lima Brito; Silvio Fernando Alves Xavier Júnior; Lorena Sofia Dos Santos Andrade; Milena Edite Casé de Oliveira; Tiago Almeida de Oliveira
Journal:  Rev Panam Salud Publica       Date:  2022-03-23
  1 in total

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