東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Statistical issues in breast cancer ...

Cong, Xiuyu.

FindBook

Google Book

Amazon

博客來

Statistical issues in breast cancer screening and clustered survival data analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical issues in breast cancer screening and clustered survival data analysis./
作者:	Cong, Xiuyu.
面頁冊數:	84 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2307.
Contained By:	Dissertation Abstracts International67-05B.
標題:	Biology, Biostatistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3216688
ISBN:	9780542678523

Statistical issues in breast cancer screening and clustered survival data analysis.
Cong, Xiuyu.

Statistical issues in breast cancer screening and clustered survival data analysis. - 84 p.

Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2307.

Thesis (Ph.D.)--Rice University, 2006.

This dissertation addresses certain statistical issues in two biomedical fields, namely, modeling breast cancer screening program and correlated survival data analysis.

ISBN: 9780542678523Subjects--Topical Terms:

1018416
Biology, Biostatistics.

Statistical issues in breast cancer screening and clustered survival data analysis.
LDR:02886nmm 2200325 4500 001 1827101
005 20061222090735.5
008 130610s2006 eng d
020 $a 9780542678523
035 $a (UnM)AAI3216688
035 $a AAI3216688
040 $a UnM $c UnM
100 1 $a Cong, Xiuyu. $3 1916047
245 1 0 $a Statistical issues in breast cancer screening and clustered survival data analysis.
300 $a 84 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2307.
500 $a Advisers: Yu Shen; Guosheng Yin.
502 $a Thesis (Ph.D.)--Rice University, 2006.
520 $a This dissertation addresses certain statistical issues in two biomedical fields, namely, modeling breast cancer screening program and correlated survival data analysis.
520 $a For the breast cancer screening project, this study investigates statistical approaches to quantitatively describing the age effect on screening sensitivity and sojourn time distribution. Such an investigation is directly motivated by the need to understand the inherent relationships between age and these important quantities. Age effect is incorporated through generalized linear models under a progressive disease modeling framework. Parameter estimates are obtained by maximizing conditional likelihood functions. Among a set of potential models, the Akeike's information criterion and likelihood ratio test are used in model selection and inferences. Extensive simulation studies show that the estimators have reasonable accuracy and the model selection criterion works well. The proposed methods are illustrated using data from two large breast cancer screening trials.
520 $a For correlated survival data analysis, an interesting yet often ignored problem is considered, that is when cluster sizes may be informative to the outcome of interest, based on a within-cluster resampling approach and a weighted marginal model. Large sample properties for the within-cluster resampling estimators are derived under the Cox proportional hazards model, including the consistency and asymptotic normality of the regression coefficient estimators and the weak convergence property of the estimated baseline cumulative hazard function. The weighted marginal model is constructed by incorporating the inverse of cluster sizes as weights in the estimating equations. Simulation studies are conducted to assess and compare the finite-sample behaviors of the estimators and the proposed methods are applied to a dental data example as an illustration.
590 $a School code: 0187.
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Statistics. $3 517247
650 4 $a Health Sciences, Oncology. $3 1018566
690 $a 0308
690 $a 0463
690 $a 0992
710 2 0 $a Rice University. $3 960124
773 0 $t Dissertation Abstracts International $g 67-05B.
790 1 0 $a Shen, Yu, $e advisor
790 1 0 $a Yin, Guosheng, $e advisor
790 $a 0187
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3216688