Blar i forfatter "Mode, Nicolle"
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Mr. Clean: A Tool for Tracking and Comparing the Lineage of Scientific Visualization Code
Tartari, Giacomo; Tiede, Lars; Holsbø, Einar; Knudsen, Kenneth; Raknes, Inge Alexander; Fjukstad, Bjørn; Mode, Nicolle; Bjørndalen, John Markus; Lund, Eiliv; Bongo, Lars Ailo (Conference object; Konferansebidrag, 2014) -
A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principle
Lund, Eiliv; Holden, Lars; Bøvelstad, Hege; Plancade, Sandra Caroline; Mode, Nicolle; Günther, Clara-Cecilie; Nuel, Gregory; Thalabard, Jean-Christophe; Holden, Marit (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-03-05)<b>Background: </b>The understanding of changes in temporal processes related to human carcinogenesis is limited. One approach for prospective functional genomic studies is to compile trajectories of differential expression of genes, based on measurements from many case-control pairs. We propose a new statistical method that does not assume any parametric shape for the gene trajectories. <br><b>Methods:</b> ... -
Overdiagnosis of breast cancer in the Norwegian Breast Cancer Screening Program estimated by the Norwegian Women and Cancer cohort study
Lund, Eiliv; Mode, Nicolle; Waaseth, Marit; Thalabard, Jean-Christophe (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)Background: There is increasing ambiguity towards national mammographic screening programs due to varying publicized estimates of overdiagnosis, i.e., breast cancer that would not have been diagnosed in the women’s lifetime outside screening. This analysis compares the cumulative incidence of breast cancer in screened and unscreened women in Norway from the start of the fully implemented Norwegian ... -
Validity of self-reported body mass index among middle-aged participants in the Norwegian Women and Cancer study
Skeie, Guri; Mode, Nicolle; Henningsen, Maria; Borch, Kristin Benjaminsen (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-07-02)Background: Body mass index (BMI) based on self-reported height and weight has been criticized as being biased because of an observed tendency for overweight and obese people to overestimate height and underestimate weight, resulting in higher misclassification for these groups. We examined the validity of BMI based on self-reported values in a sample of Norwegian women aged 44–64 years. Methods: ...