Using Functional Data Analysis Models to Estimate Future Time Trends in Age-Specific Breast Cancer Mortality for the United States and England-Wales
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概要
- 論文の詳細を見る
- 2010-03-01
著者
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ERBAS Bircan
School of Public Health, La Trobe University
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AKRAM Muhammed
Business & Economic Forecasting Unit, Monash University
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GERTIG Dorota
Victoria Cytology Service Inc.
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ENGLISH Dallas
Cancer Epidemiology Centre, The Cancer Council Victoria
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HOPPER John
Centre for MEGA Epidemiology, The University of Melbourne
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KAVANAGH Anne
Key Centre for Women's Health in Society, School of Population Health, The University of Melbourne
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HYNDMAN Rob
Business & Economic Forecasting Unit, Monash University
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Erbas Bircan
School Of Public Health La Trobe University
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English Dallas
Cancer Epidemiology Centre The Cancer Council Victoria
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Kavanagh Anne
Key Centre For Women's Health In Society School Of Population Health The University Of Melbourn
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Hyndman Rob
Business & Economic Forecasting Unit Monash University
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Hopper John
Centre For Mega Epidemiology The University Of Melbourne
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Akram Muhammed
Business & Economic Forecasting Unit Monash University
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Gertig Dorota
Victoria Cytology Service Inc
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- Using Functional Data Analysis Models to Estimate Future Time Trends in Age-Specific Breast Cancer Mortality for the United States and England-Wales
- Using Functional Data Analysis Models to Estimate Future Time Trends in Age-Specific Breast Cancer Mortality for the United States and England–Wales
- A Varying Coefficient Model to Measure the Effectiveness of Mass Media Anti-Smoking Campaigns in Generating Calls to a Quitline
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