1673 Challenges in data pooling

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Abstract

Aim

Studying the effects of rare exposures in relation to rare diseases is challenging. In this session we will discuss problems and benefits with pooling data in epidemiological studies. We will show different examples of different types of pooling projects as well as results from those, and point to the contrasts with meta-analyses and multi-centre studies.

Aim

Eero Pukkala1, Deborah Glass2, Maria Leon Roux3, Hans Kromhout4, Ann Olsson3, Ingrid S. Mehlum5

Aim

1Finnish Cancer Registry – Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland

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2Monash University Centre for Occupational and Environmental Health, Department of Epidemiology and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Melbourne, Australia

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3International Agency for Research on Cancer, Lyon, France

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4Environmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands

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5National Institute of Occupational Health (STAMI), Oslo, Norway

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