Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization
博士 === 國立臺灣大學 === 流行病學研究所 === 88 === ABSTRACT Objects. Most cancer mapping methodologies are county-based. However, the trend surface analysis point-based has the smoothing surface but suffers from the edge effect. two new modified trend surface analyses therefore are proposed to diminis...
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ndltd-TW-088NTU015440012016-01-29T04:18:53Z http://ndltd.ncl.edu.tw/handle/03854660330226518344 Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization 癌症地圖的繪製:趨勢面分析法的改變與其在時空特性探討之應用 Liaw yung-po 廖勇柏 博士 國立臺灣大學 流行病學研究所 88 ABSTRACT Objects. Most cancer mapping methodologies are county-based. However, the trend surface analysis point-based has the smoothing surface but suffers from the edge effect. two new modified trend surface analyses therefore are proposed to diminished the effect. Finally, the author also demonstrates it’s application in spatio-temporal characterization. Methods. The author compares six methods (SMR, SMREB, SMRadj, PTS and the newly proposed PPTS, IPTS) by calculating the average variance, square bias, mean square error, percentiles and the power for identifying the high risk location through simulations. In addition to aforementioned new methods of trend surface analysis, contained herein is also a study demonstrating the applicability of the IPTS methodology to a dynamic spatio-temporal trend using the male oral cancer data. Results. The results show that both PPTS and IPTS can dramatically diminished the edge effect. Especially for the IPTS method , it has the minimum values in average variance, square bias, mean square error and has better percentile estimate. Besides, it also has the shortest median error distance when capturing the exact hot spot and clearer dynamic spatio-temporal trend in application. When only compare SMRadj with SMREB, the simulation result shows SMRadj has smaller average means square error than SMREB. Conclusion. We suggest the SMRadj is a simple and practice method to map the atlas if the coordinates are not available. Otherwise, the IPTS method should be a better choice when cancer mapping. Lee wen-chung Chen chien-jen 李文宗 陳建仁 2000 學位論文 ; thesis 0 zh-TW |
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博士 === 國立臺灣大學 === 流行病學研究所 === 88 === ABSTRACT
Objects. Most cancer mapping methodologies are county-based. However, the trend surface analysis point-based has the smoothing surface but suffers from the edge effect. two new modified trend surface analyses therefore are proposed to diminished the effect. Finally, the author also demonstrates it’s application in spatio-temporal characterization.
Methods. The author compares six methods (SMR, SMREB, SMRadj, PTS and the newly proposed PPTS, IPTS) by calculating the average variance, square bias, mean square error, percentiles and the power for identifying the high risk location through simulations. In addition to aforementioned new methods of trend surface analysis, contained herein is also a study demonstrating the applicability of the IPTS methodology to a dynamic spatio-temporal trend using the male oral cancer data.
Results. The results show that both PPTS and IPTS can dramatically diminished the edge effect. Especially for the IPTS method , it has the minimum values in average variance, square bias, mean square error and has better percentile estimate. Besides, it also has the shortest median error distance when capturing the exact hot spot and clearer dynamic spatio-temporal trend in application. When only compare SMRadj with SMREB, the simulation result shows SMRadj has smaller average means square error than SMREB.
Conclusion. We suggest the SMRadj is a simple and practice method to map the atlas if the coordinates are not available. Otherwise, the IPTS method should be a better choice when cancer mapping.
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Lee wen-chung |
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Lee wen-chung Liaw yung-po 廖勇柏 |
author |
Liaw yung-po 廖勇柏 |
spellingShingle |
Liaw yung-po 廖勇柏 Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization |
author_sort |
Liaw yung-po |
title |
Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization |
title_short |
Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization |
title_full |
Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization |
title_fullStr |
Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization |
title_full_unstemmed |
Cancer mapping : The modified Trend Surface Analysis and it''s Application in Spatio-Temporal Characterization |
title_sort |
cancer mapping : the modified trend surface analysis and it''s application in spatio-temporal characterization |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/03854660330226518344 |
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