Assumptions and analysis planning in studies with missing data in multiple variables: moving beyond the MCAR/MAR/MNAR classification.
Sign Up to like & getrecommendations! Published in 2023 at "International journal of epidemiology"
DOI: 10.1093/ije/dyad008
Abstract: Researchers faced with incomplete data are encouraged to consider whether their data are 'missing completely at random' (MCAR), 'missing at random' (MAR) or 'missing not at random' (MNAR) when planning their analysis. However, there are… read more here.
Keywords: mcar; multiple variables; missing data; mar ... See more keywords
Fund Price Analysis Using Convolutional Neural Networks for Multiple Variables
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DOI: 10.1109/access.2019.2959022
Abstract: Investing in funds has the effect of indirectly employing asset management professionals with specialized knowledge and experience, which can result in a diversified investment through the use of a portfolio. In this study, we focus… read more here.
Keywords: fund price; using convolutional; multiple variables; convolutional neural ... See more keywords
Multiple Variables at the Leukocyte Cell Surface Impact Fc γ Receptor-Dependent Mechanisms
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2019.00223
Abstract: Fc γ receptors (FcγR) expressed on the surface of human leukocytes bind clusters of immunoglobulin G (IgG) to induce a variety of responses. Many therapeutic antibodies and vaccine-elicited antibodies prevent or treat infectious diseases, cancers… read more here.
Keywords: leukocyte cell; surface; multiple variables; variables leukocyte ... See more keywords