2010
DOI: 10.1007/s13312-010-0112-4
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The methods of survival analysis for clinicians

Abstract: The methods of survival analysis are required to analyze duration data but their use is restricted possibly due to lack of awareness and the intricacies involved. We explain common methods of survival analysis, namely, life table, Kaplan Meier, log rank and Cox model, in a simple and friendly language so that the medical fraternity can use them with confidence where applicable.

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Cited by 6 publications
(5 citation statements)
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“…Kaplan-Meier was used to explore recurrence-free interval in the GKRS and TSA patients. 21 Chi-square and analysis of variance (ANOVA) were also supplemented to data. P values lower than 0.05 were considered statistically significant.…”
Section: Discussionmentioning
confidence: 99%
“…Kaplan-Meier was used to explore recurrence-free interval in the GKRS and TSA patients. 21 Chi-square and analysis of variance (ANOVA) were also supplemented to data. P values lower than 0.05 were considered statistically significant.…”
Section: Discussionmentioning
confidence: 99%
“…En la Figura 3 se muestran cinco escenarios distintos de término individual de un seguimiento. 12 Un paciente fue ingresado en el tiempo acordado y durante su seguimiento presentó el desenlace. Aquí no existe censura porque no hay duda de la presencia y momento del desenlace.…”
Section: Diseños Metodológicosunclassified
“…[4] Incorrect selection of representative data and subsequent calculation of significance levels (pvalues) can provide incorrect interpretations. [17] Therefore, we initially test the normality of the collected data. There are two ways to assess the normality of the data: graphical and numerical.…”
Section: Normality Testmentioning
confidence: 99%