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免費統計教學範例29 Survival Analysis Indexed Format Log-Rank 存活分析

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Published on May 3, 2013

Tutorial for SigmaPlot V.12
Kaplan-Meier Survival Analysis:
Log-Rank 存活分析
Indexed Format

SigmaPlot 科學繪圖統計軟體 教學範例 V.12
二維及三維科學繪圖軟體
The technical graphing software choice for more than 100,000 professional researchers

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內容敘述 : Description
LogRank Surval Analysis analyzes survival data from multiple groups and creates a report and a graph showing multiple survival curves. Statistics associated with each group, such as the median survival time, are calculated and presented in the report.
You can also perform the LogRank test to determine whether survival curves are significantly different. It is a nonparametric test that uses a chi-square statistic to reject the null hypothesis that the survival curves came from the same population. The LogRank statistic is approximately the same as the familiar chi-square statistic, and is formed from the sum across groups of the square of the difference of the actual and estimated number of events for each group (censored values removed) divided by the estimated number of events

. It generates a P value that is the probability of the chance occurrence of survival curves as different (or more so) as those observed.
The LogRank test assumes that there is no difference in the accuracy of the data at any given time. This is different from the Gehan-Breslow test that weights the early data more since it assumes that this data is more accurate.
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