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The cummulative incidence estimate v...
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Dang, Ha.
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The cummulative incidence estimate versus the Kaplan Meier method in medical research.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The cummulative incidence estimate versus the Kaplan Meier method in medical research./
作者:
Dang, Ha.
面頁冊數:
79 p.
附註:
Source: Masters Abstracts International, Volume: 49-01, page: 0463.
Contained By:
Masters Abstracts International49-01.
標題:
Applied Mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1486385
ISBN:
9781124247755
The cummulative incidence estimate versus the Kaplan Meier method in medical research.
Dang, Ha.
The cummulative incidence estimate versus the Kaplan Meier method in medical research.
- 79 p.
Source: Masters Abstracts International, Volume: 49-01, page: 0463.
Thesis (M.S.)--California State University, Long Beach, 2010.
The Kaplan Meier (KM) method is very popular in medical research, but many researchers are not aware of its deficiencies when handling studies that have multiple failure types and/or competing risks. The Cumulative Incidence (CI) estimate, has been around for some time yet is rarely used, would be an excellent choice to implement when competing risks occur. Unlike the KM method, which only estimates the survival probability based on the non-censoring group, the CI estimates each failure type separately. To illustrate the superior performance of CI estimate in theory and practice, the CI estimate and the KM method will be compared and contrasted in simulations and with clinical solid tumor data. Baseline progression free survival is accurately estimated for use in further analysis at the Children's Oncology Group.
ISBN: 9781124247755Subjects--Topical Terms:
1669109
Applied Mathematics.
The cummulative incidence estimate versus the Kaplan Meier method in medical research.
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The Kaplan Meier (KM) method is very popular in medical research, but many researchers are not aware of its deficiencies when handling studies that have multiple failure types and/or competing risks. The Cumulative Incidence (CI) estimate, has been around for some time yet is rarely used, would be an excellent choice to implement when competing risks occur. Unlike the KM method, which only estimates the survival probability based on the non-censoring group, the CI estimates each failure type separately. To illustrate the superior performance of CI estimate in theory and practice, the CI estimate and the KM method will be compared and contrasted in simulations and with clinical solid tumor data. Baseline progression free survival is accurately estimated for use in further analysis at the Children's Oncology Group.
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