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Determination of prognostic factors ...

Huang, Yingjie Jason.

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Determination of prognostic factors using competing risk analysis and multistate model for patients with nasopharyngeal carcinoma.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Determination of prognostic factors using competing risk analysis and multistate model for patients with nasopharyngeal carcinoma./
作者:	Huang, Yingjie Jason.
面頁冊數:	90 p.
附註:	Source: Masters Abstracts International, Volume: 44-01, page: 0330.
Contained By:	Masters Abstracts International44-01.
標題:	Health Sciences, Public Health. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR05035
ISBN:	0494050357

Determination of prognostic factors using competing risk analysis and multistate model for patients with nasopharyngeal carcinoma.
Huang, Yingjie Jason.

Determination of prognostic factors using competing risk analysis and multistate model for patients with nasopharyngeal carcinoma. - 90 p.

Source: Masters Abstracts International, Volume: 44-01, page: 0330.

Thesis (M.Sc.)--Queen's University at Kingston (Canada), 2005.

Objectives. We sought to: (1) estimate several important cause-specific failure probabilities in nasopeharyngeal carcinoma (NPC) progression using the competing risk model and compare the results of proposed approach with those obtained using conventional Kaplan-Meier method. (2) determine prognostic factors for different transitions probabilities of NPC using multistate model.

ISBN: 0494050357Subjects--Topical Terms:

1017659
Health Sciences, Public Health.

Determination of prognostic factors using competing risk analysis and multistate model for patients with nasopharyngeal carcinoma.
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100 1 $a Huang, Yingjie Jason. $3 1905203
245 1 0 $a Determination of prognostic factors using competing risk analysis and multistate model for patients with nasopharyngeal carcinoma.
300 $a 90 p.
500 $a Source: Masters Abstracts International, Volume: 44-01, page: 0330.
502 $a Thesis (M.Sc.)--Queen's University at Kingston (Canada), 2005.
520 $a Objectives. We sought to: (1) estimate several important cause-specific failure probabilities in nasopeharyngeal carcinoma (NPC) progression using the competing risk model and compare the results of proposed approach with those obtained using conventional Kaplan-Meier method. (2) determine prognostic factors for different transitions probabilities of NPC using multistate model.
520 $a Results. Two and five years local-regional failure rates were 3.6% and 9.5% respectively via competing risk model while two and five years distant failure rates were 17.4% and 25.0%, respectively. In conventional Kaplan-Meier analysis, two and five years local-regional failure rates were 4.3% and 12.8%, respectively, while corresponding distant failure rates were 22.4% and 30.8%. In the multistate analysis: cranial nerve palsy and skull base involvement were associated with increased risks of local regional failure, metastases, or death. Multiple and fixed lymph node increased the risk of metastases and death. Advanced age and chemotherapy were related with poorer survival. Contralateral node was a significant prognostic factor predicting for an increased risk of distant metastases. Fixed node was associated with higher risk of metastases following local regional failure. Advanced age and cranial nerve infiltration predicted worse survival following local regional failure. Advanced age and chemotherapy were found to have prognostic impact on survival following distant metastases.
520 $a Conclusions. Conventional Kaplan-Meier curves overestimate the probability of cause-specific failure. Competing risk model provides us a more accurate method in the determination of the pattern of failure. (Abstract shortened by UMI.)
590 $a School code: 0283.
650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Health Sciences, Oncology. $3 1018566
690 $a 0573
690 $a 0992
710 2 0 $a Queen's University at Kingston (Canada). $3 1250078
773 0 $t Masters Abstracts International $g 44-01.
790 $a 0283
791 $a M.Sc.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR05035