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Survival Analysis, Kaplan-Meier Curves, and Cox Regression: Basic Concepts.

ABSTRACT: Survival analysis is used to analyze data from patients who are followed for different periods of time and in whom the outcome of interest, a dichotomous event, may or may not have occurred at the time the study is halted; data from all patients are used in the analysis, including data from patients who dropped out, regardless of the duration of follow-up. This article discusses basic concepts in survival analysis, explains technical terms such as censoring, and provides reasons why ordinary methods of analysis cannot be applied to such data. The Kaplan-Meier survival curve is described, as is the Cox proportional hazards regression and the hazard ratio. Supplementary information includes a data file, graphs with explanations, and additional discussions; these are provided to enhance the reader's experience and understanding.

SUBMITTER: Andrade C

PROVIDER: S-EPMC10357905 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Survival Analysis, Kaplan-Meier Curves, and Cox Regression: Basic Concepts.

Andrade Chittaranjan C

Indian journal of psychological medicine 20230611 4

Survival analysis is used to analyze data from patients who are followed for different periods of time and in whom the outcome of interest, a dichotomous event, may or may not have occurred at the time the study is halted; data from all patients are used in the analysis, including data from patients who dropped out, regardless of the duration of follow-up. This article discusses basic concepts in survival analysis, explains technical terms such as censoring, and provides reasons why ordinary met ...[more]

PMID: 37483572

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