Analysis of the interval-censored survival data with mismeasured covariates
| Project/Area Number |
22700294
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | Kyoto University |
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Principal Investigator |
TANAKA Sachiko 京都大学, 医学研究科, 特定助教 (50453824)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 測定誤差 / 区間打ち切りデータ / 糖尿病 / 生存時間解析 / 測定誤差モデル / 生存時間データ解析 / 区間打ち切り / 糖尿病合併症 |
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| Research Abstract |
There has been substantial effort devoted to the analysis of right-censored survival data with covariates that are subject to measurement error. However, interval survival data with covariate measurement error are to be less investigated. Song and Ma(Stat Med, 2008) extended the conditional score method to interval-censored data by using multiple augmentation approach and requires computational burden. Zhang and Davidian(Biometrics, 2008) proposed the general framework for semiparametric regression analysis of interval-censored data by using seminonparametric(SNP) density. We extend Zhang's semiparametric analysis of interval-censored data to covariate measurement error problem. We evaluate the performance of the proposed method through the simulation examination.
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Report
(3 results)
Research Products
(2 results)
