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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 certain amount of time after treatment.
In complex diseases like cancer, researchers use statistical comparisons of disease-free survival (DFS) between patients and matched, healthy control groups. This approach equates indefinite remission with a cure. [6] The Kaplan-Meier estimator is commonly used for this comparison. [7]
It can be thought of as the kaplan-meier survivor function for a particular year, divided by the expected survival rate in that particular year. That is typically known as the relative survival (RS). If five consecutive years are multiplied, the resulting figure would be known as cumulative relative survival (CRS). It is analogous to the five ...
Paul Meier (July 24, 1924 – August 7, 2011) [1] was a statistician who promoted the use of randomized trials in medicine. [2] [3]Meier is known for introducing, with Edward L. Kaplan, the Kaplan–Meier estimator, [4] [5] a method for measuring how many patients survive a medical treatment from one duration to another, taking into account that the sampled population changes over time.
Kaplan Meier Analysis of overall survival before starting a new line of therapy for patients with metastatic breast, colorectal and prostate cancer. Patients were divided into those with Favorable and Unfavorable CTC (Unfavorable: >5 CTC/7.5mL for breast and prostate, >3 CTC/7.5mL for colon) [29]
An early clinical trial examines MRI guided ablation to destroy early stage breast cancer tumors. People still need to undergo chemotherapy, radiation. Mom receives new procedure to remove breast ...
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