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Estimation of Relat...
Estimation of Relative and Absolute Risks in a Competing-Risks Setting Using a Nested Case-Control Study Design : Example From the ProMort Study
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- Zelic, Renata (author)
- Karolinska Institutet
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- Zugna, Daniela (author)
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy ; Centro di Riferimento per l ’ Epidemiologia e la Prevenzione Oncologica (CPO) in Piemonte, Turin, Italy
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- Bottai, Matteo (author)
- Karolinska Institutet
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- Andrén, Ove, 1963- (author)
- Örebro universitet,Institutionen för medicinska vetenskaper,Department of Urology
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- Fridfeldt, Jonna (author)
- Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
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- Carlsson, Jessica, 1984- (author)
- Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Urology
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- Davidsson, Sabina, 1972- (author)
- Örebro universitet,Institutionen för medicinska vetenskaper,Department of Urology
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- Fiano, Valentina (author)
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy; Centro di Riferimento per l ’ Epidemiologia e la Prevenzione Oncologica (CPO) in Piemonte, Turin, Italy
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- Fiorentino, Michelangelo (author)
- Pathology Service, Addarii Institute of Oncology, Sant’ Orsola-Malpighi Hospital, Bologna, Italy
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- Giunchi, Francesca (author)
- Pathology Service, Addarii Institute of Oncology, Sant’ Orsola-Malpighi Hospital, Bologna, Italy
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- Grasso, Chiara (author)
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy; Centro di Riferimento per l ’ Epidemiologia e la Prevenzione Oncologica (CPO) in Piemonte, Turin, Italy
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- Lianas, Luca (author)
- Data-Intensive Com puting Division, Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy
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- Mascia, Cecilia (author)
- Data-Intensive Com puting Division, Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy
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- Molinaro, Luca (author)
- Division of Pathology, Azienda Os pedaliero-Universitaria Città della Salute e della Scienza Hospital, Turin, Italy
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- Zanetti, Gianluigi (author)
- Data-Intensive Com puting Division, Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy
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- Richiardi, Lorenzo (author)
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy; Centro di Riferimento per l ’ Epidemiologia e la Prevenzione Oncologica (CPO) in Piemonte, Turin, Italy
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- Pettersson, Andreas (author)
- Karolinska Institutet
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- Akre, Olof (author)
- Karolinska Institutet
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(creator_code:org_t)
- 2019-02-14
- 2019
- English.
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In: American Journal of Epidemiology. - : Oxford University Press. - 0002-9262 .- 1476-6256. ; 188:6, s. 1165-1173
- Related links:
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https://doi.org/10.1...
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Abstract
Subject headings
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- In this paper, we describe the Prognostic Factors for Mortality in Prostate Cancer (ProMort) study and use it to demonstrate how the weighted likelihood method can be used in nested case-control studies to estimate both relative and absolute risks in the competing-risks setting. ProMort is a case-control study nested within the National Prostate Cancer Register (NPCR) of Sweden, comprising 1,710 men diagnosed with low- or intermediate-risk prostate cancer between 1998 and 2011 who died from prostate cancer (cases) and 1,710 matched controls. Cause-specific hazard ratios and cumulative incidence functions (CIFs) for prostate cancer death were estimated in ProMort using weighted flexible parametric models and compared with the corresponding estimates from the NPCR cohort. We further drew 1,500 random nested case-control subsamples of the NPCR cohort and quantified the bias in the hazard ratio and CIF estimates. Finally, we compared the ProMort estimates with those obtained by augmenting competing-risks cases and by augmenting both competing-risks cases and controls. The hazard ratios for prostate cancer death estimated in ProMort were comparable to those in the NPCR. The hazard ratios for dying from other causes were biased, which introduced bias in the CIFs estimated in the competing-risks setting. When augmenting both competing-risks cases and controls, the bias was reduced.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Urology and Nephrology (hsv//eng)
Keyword
- absolute risk
- competing risks
- cumulative incidence function
- flexible parametric survival model
- inverse probability weighting
- nested case-control studies
- weighted likelihood
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Zelic, Renata
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Zugna, Daniela
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Bottai, Matteo
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Andrén, Ove, 196 ...
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Fridfeldt, Jonna
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Carlsson, Jessic ...
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Davidsson, Sabin ...
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Fiano, Valentina
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Fiorentino, Mich ...
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Giunchi, Frances ...
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Grasso, Chiara
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Lianas, Luca
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Mascia, Cecilia
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Molinaro, Luca
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Zanetti, Gianlui ...
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Richiardi, Loren ...
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Pettersson, Andr ...
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Akre, Olof
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Urology and Neph ...
- Articles in the publication
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American Journal ...
- By the university
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Örebro University
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Karolinska Institutet