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An example of a Kaplan–Meier plot for two conditions associated with patient survival. The Kaplan–Meier estimator, [1] [2] also known as the product limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it is often used to measure the fraction of patients living for a ...
This example uses a log-rank test for a difference in survival in the maintained versus non-maintained treatment groups in the aml data. The graph shows KM plots for the aml data broken out by treatment group, which is indicated by the variable "x" in the data. Kaplan–Meier graph by treatment group in aml
The software also includes reference interval estimation, [9] meta-analysis and sample size calculations. The first DOS version of MedCalc was released in April 1993 and the first version for Windows was available in November 1996.
Epi Info is used for analysis in medical research, and for data entry. Examples of its use for research include a study of eye conditions, [6] a study of healthcare infections [7] and a study of psychiatric morbidity. [8] Examples of papers that used Epi Info for data entry include a study on nutrition [9] and an epidemiological survey about ...
The problem with measuring overall survival by using the Kaplan-Meier or actuarial survival methods is that the estimates include two causes of death: deaths from the disease of interest and deaths from all other causes, which includes old age, other cancers, trauma and any other possible cause of death. In general, survival analysis is ...
The example of gene profiles in the introduction is highly unrealistic. A medical example would typically be the comparison of different treatments for disease Sboehringer 08:53, 13 April 2007 (UTC) This entry needs more examples, possibly a sample calculation, and a review of the citation history of the original article.
In full generality, the accelerated failure time model can be specified as [2] (|) = ()where denotes the joint effect of covariates, typically = ([+ +]). (Specifying the regression coefficients with a negative sign implies that high values of the covariates increase the survival time, but this is merely a sign convention; without a negative sign, they increase the hazard.)
As a counterpart of the Kaplan–Meier curve, which is used to describe the time to a terminal event, recurrent event data can be described using the mean cumulative function, which is the average number of cumulative events experienced by an individual in the study at each point in time since the start of follow-up.