H
Harald Weedon-Fekjær
Researcher at Oslo University Hospital
Publications - 51
Citations - 1304
Harald Weedon-Fekjær is an academic researcher from Oslo University Hospital. The author has contributed to research in topics: Population & Breast cancer. The author has an hindex of 18, co-authored 45 publications receiving 1107 citations. Previous affiliations of Harald Weedon-Fekjær include University of Oslo.
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The demographics of same-sex marriages in Norway and Sweden
TL;DR: The present study investigates the demographics of same-sex marriages—that is, registered partnerships—in Norway and Sweden, giving an overview of the demographic characteristics of the spouses of these partnerships, study patterns of their divorce risks, and compare the dynamics ofSame-sex couples with those of heterosexual marriages.
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Breast cancer tumor growth estimated through mammography screening data
TL;DR: Screening data with tumor measurements can provide population-based estimates of tumor growth and screen test sensitivity directly linked to tumor size, and there is a large variation in breast cancer tumor growth, with faster growth among younger women.
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The influence of mammographic screening on national trends in breast cancer incidence
Bjørn Møller,Harald Weedon-Fekjær,Timo Hakulinen,Laufey Tryggvadottir,Hans H. Storm,Mats Talbäck,Tor Haldorsen +6 more
TL;DR: Screening advances the time of diagnosis, which is a prerequisite to subsequent reduction in mortality, and there were strong cohort effects in all Nordic countries, and the risk seemed to be flattening for the youngest cohorts in most of the countries.
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Nationwide quality assurance of rectal cancer treatment
A. Wibe,Erik Carlsen,Olav Dahl,Kjell Magne Tveit,Harald Weedon-Fekjær,Unn E. Hestvik,J. N. Wiig +6 more
TL;DR: The purpose of this prospective study was to examine the influence of the efforts for nationwide quality assurance of rectal cancer treatment and local recurrence and overall survival.
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Dynamic analysis of multivariate failure time data.
TL;DR: An approach for analyzing internal dependencies in counting processes that covers the case with repeated events on each of a number of individuals, and more generally, the situation where several processes are observed for each individual is presented.