Search Results - "Perduca, V"

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  1. 1

    Association between menopausal hormone therapy, mammographic density and breast cancer risk: results from the E3N cohort study by Fornili, M, Perduca, V, Fournier, A, Jérolon, A, Boutron-Ruault, M C, Maskarinec, G, Severi, G, Baglietto, L

    Published in Breast cancer research : BCR (17-04-2021)
    “…Menopausal hormone therapy (MHT) is a risk factor for breast cancer (BC). Evidence suggests that its effect on BC risk could be partly mediated by mammographic…”
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    Journal Article
  2. 2

    Alternative methods for H1 simulations in genome-wide association studies by Perduca, V, Sinoquet, C, Mourad, R, Nuel, G

    Published in Human heredity (01-01-2012)
    “…Assessing the statistical power to detect susceptibility variants plays a critical role in genome-wide association (GWA) studies both from the prospective and…”
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  3. 3

    P449 Systematic review with meta-analysis: risk of lymphoma associated with anti-tumour necrosis factor (TNF) agents in inflammatory bowel disease by CHUPIN, A, Perduca, V, Bellanger, C, Carbonnel, F, Dong, C

    Published in Journal of Crohn's and colitis (15-01-2020)
    “…Abstract Background We performed a systematic review and meta-analysis to investigate the risk of lymphoma in patients with IBD treated with anti-TNF agents…”
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  4. 4

    Blood levels of persistent organic pollutants among women in France in the 90's: Main profiles and individual determinants by Frenoy, Pauline, Cano-Sancho, German, Antignac, Jean-Philippe, Marchand, Philippe, Marques, Chloé, Ren, Xuan, Severi, Gianluca, Perduca, Vittorio, Mancini, Francesca Romana

    Published in Environmental research (01-10-2024)
    “…Persistent organic pollutants (POPs) are a group of organic chemical compounds potentially toxic to human health. The objectives of this study were 1) to…”
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  5. 5

    Measuring the Influence of Observations in HMMs Through the Kullback-Leibler Distance by Perduca, V., Nuel, G.

    Published in IEEE signal processing letters (01-02-2013)
    “…We measure the influence of individual observations on the sequence of the hidden states of the Hidden Markov Model (HMM) by means of the Kullback-Leibler…”
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