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Epidemiology
1673 Challenges in data pooling
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  1. Ann C Olsson1,2,
  2. Saloshni Naidoo1,2
  1. 1International Agency for Research on Cancer, Lyon, France
  2. 2Department of Occupational and Environmental Health, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Congella, Durban, South Africa

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.

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

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

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

3International Agency for Research on Cancer, Lyon, France

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

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

https://doi.org/10.1136/oemed-2018-ICOHabstracts.350

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