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Estimation of Relative and Absolute Risks in a Competing-Risks Setting Using a Nested Case-Control Study Design : Example From the ProMort Study

Zelic, Renata (author)
Karolinska Institutet
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
Bottai, Matteo (author)
Karolinska Institutet
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Andrén, Ove, 1963- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Urology
Fridfeldt, Jonna (author)
Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
Carlsson, Jessica, 1984- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Urology
Davidsson, Sabina, 1972- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Urology
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
Fiorentino, Michelangelo (author)
Pathology Service, Addarii Institute of Oncology, Sant’ Orsola-Malpighi Hospital, Bologna, Italy
Giunchi, Francesca (author)
Pathology Service, Addarii Institute of Oncology, Sant’ Orsola-Malpighi Hospital, Bologna, Italy
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
Lianas, Luca (author)
Data-Intensive Com puting Division, Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy
Mascia, Cecilia (author)
Data-Intensive Com puting Division, Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy
Molinaro, Luca (author)
Division of Pathology, Azienda Os pedaliero-Universitaria Città della Salute e della Scienza Hospital, Turin, Italy
Zanetti, Gianluigi (author)
Data-Intensive Com puting Division, Center for Advanced Studies, Research and Development in Sardinia, Pula, Italy
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
Pettersson, Andreas (author)
Karolinska Institutet
Akre, Olof (author)
Karolinska Institutet
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 (creator_code:org_t)
2019-02-14
2019
English.
In: American Journal of Epidemiology. - : Oxford University Press. - 0002-9262 .- 1476-6256. ; 188:6, s. 1165-1173
  • Journal article (peer-reviewed)
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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