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Timo Hakulinen

Researcher at University of Helsinki

Publications -  241
Citations -  19556

Timo Hakulinen is an academic researcher from University of Helsinki. The author has contributed to research in topics: Cancer & Population. The author has an hindex of 73, co-authored 240 publications receiving 18561 citations. Previous affiliations of Timo Hakulinen include Karolinska University Hospital.

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Estimating potential savings in cancer deaths by eliminating regional and social class variation in cancer survival in the Nordic countries.

TL;DR: This methodology showed a small amount of systematic regional variation in cancer survival in the Nordic countries and those cancer sites with high levels of regional variation identified are potential targets for cancer control programmes.
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Chlamydia pneumoniae infection and the risk of female early‐onset lung cancer

TL;DR: This book aims to provide a history of cancer research in Finland from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year of World War II.
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Coverage and performance of colorectal cancer screening with the faecal occult blood test in Finland.

TL;DR: Implementation of screening measured with response rate was successful and met the criteria for a public health programme, but performance in terms of positive predictive value needs monitoring.
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Effectiveness of screening for colorectal cancer with a faecal occult-blood test, in Finland

TL;DR: The substantial effect difference between males and females is inconsistent with the evidence from randomised clinical trials and with the recommendations of several international organisations, and highlights the importance of randomised evaluation when new health policies are implemented.
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Life tables for world-wide comparison of relative survival for cancer (CONCORD study).

TL;DR: In this paper, the authors compared population-based relative survival from cancer using data from cancer registries in five continents and compared the impact of two approaches to the deployment of life tables in relative survival analysis.