scispace - formally typeset
D

David Cameron

Researcher at University of Oslo

Publications -  1765
Citations -  141776

David Cameron is an academic researcher from University of Oslo. The author has contributed to research in topics: Large Hadron Collider & Breast cancer. The author has an hindex of 154, co-authored 1586 publications receiving 126067 citations. Previous affiliations of David Cameron include Universidade Nova de Lisboa & Cameron International.

Papers
More filters
Journal ArticleDOI

Search for the Standard Model Higgs boson decaying into bb¯ produced in association with top quarks decaying hadronically in pp collisions at √s = 8 TeV with the ATLAS detector

Georges Aad, +2826 more
TL;DR: In this paper, a search for Higgs boson production in association with a pair of top quarks (t (t) over barH) is performed, where the Higgs Boson decays to b (b) over the bar, and both top Quarks decay hadronically.
Journal ArticleDOI

A measurement of the ratio of the production cross sections for W and Z bosons in association with jets with the ATLAS detector

Georges Aad, +2885 more
TL;DR: In this article, the production cross sections for W and Z bosons in association with jets have been measured in proton-proton collisions at root s = 7 TeV with the ATLAS experiment at the Large Hadron Collider.
Journal ArticleDOI

Cancer survivorship: Reproductive health outcomes should be included in standard toxicity assessments.

TL;DR: The effects of cancer treatment on reproductive function in both sexes may lead to loss of fertility, sexual desire and function, and hormone deficiency, which results in additional long-term morbidity in more than a third of patients as mentioned in this paper.
Journal ArticleDOI

Cost-effectiveness of lapatinib plus capecitabine in women with HER2+ metastatic breast cancer who have received prior therapy with trastuzumab

TL;DR: When compared against capecitabine alone, the addition of lapatinib has a cost-effectiveness ratio exceeding the threshold normally used by NICE, and is approximately equally likely to be cost-effective in probabilistic sensitivity analyses over a wide range of threshold values.