TY - JOUR
T1 - Survival analysis 101
T2 - an easy start guide to analysing time-to-event data
AU - Denfeld, Quin E.
AU - Burger, Debora
AU - Lee, Christopher S.
N1 - Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Survival analysis, also called time-to-event analysis, is a common approach to handling event data in cardiovascular nursing and health-related research. Survival analysis is used to describe, explain, and/or predict the occurrence and timing of events. There is a specific language used and methods designed to handle the unique nature of event data. In this methods paper, we provide an ‘easy start guide’ to using survival analysis by (i) providing a step-by-step guide and (ii) applying the steps with example data. Specifically, we analyse cardiovascular event data over 6 months in a sample of patients with heart failure.
AB - Survival analysis, also called time-to-event analysis, is a common approach to handling event data in cardiovascular nursing and health-related research. Survival analysis is used to describe, explain, and/or predict the occurrence and timing of events. There is a specific language used and methods designed to handle the unique nature of event data. In this methods paper, we provide an ‘easy start guide’ to using survival analysis by (i) providing a step-by-step guide and (ii) applying the steps with example data. Specifically, we analyse cardiovascular event data over 6 months in a sample of patients with heart failure.
KW - Cardiovascular disease
KW - Quantitative methodology
KW - Survival analysis
KW - Time-to-event analysis
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U2 - 10.1093/eurjcn/zvad023
DO - 10.1093/eurjcn/zvad023
M3 - Article
C2 - 36748198
AN - SCOPUS:85152244473
SN - 1474-5151
VL - 22
SP - 332
EP - 337
JO - European Journal of Cardiovascular Nursing
JF - European Journal of Cardiovascular Nursing
IS - 3
ER -