Blar i forfatter "Arnes, Jo Inge"

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    • Autostrata: Improved Automatic Stratification for Coarsened Exact Matching 

      Arnes, Jo Inge; Hapfelmeier, Alexander; Horsch, Alexander (Chapter; Bokkapittel, 2022-08-22)
      We commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed ...

    • The Beauty of Complex Designs 

      Arnes, Jo Inge; Bongo, Lars Ailo (Chapter; Bokkapittel, 2020-12-08)
      The increasing use of omics data in epidemiology enables many novel study designs, but also introduces challenges for data analysis. We describe the possibilities for systems epidemiological designs in the Norwegian Women and Cancer (NOWAC) study and show how the complexity of NOWAC enables many beautiful new study designs. We discuss the challenges of implementing designs and analyzing data. Finally, ...

    • Cloudless Friend-to-Friend Middleware for Smartphones 

      Arnes, Jo Inge; Karlsen, Randi (Peer reviewed; Chapter; Bokkapittel, 2019-11-13)
      Using smartphones for peer-to-peer communication over the Internet is difficult without the aid of centralized services. These centralized services, which usually reside in the cloud, are necessary for brokering communication between peers, and all communication must pass through them. A reason for this is that smartphones lack publicly reachable IP addresses. Also, because people carry their ...

    • Swirlwave. Cloudless wide area friend-to-friend networking middleware for smartphones 

      Arnes, Jo Inge (Master thesis; Mastergradsoppgave, 2017-05-07)
      Swirlwave is a middleware that enables peer-to-peer and distributed computing for Internet-connected devices with the following characteristics: The devices lack publicly reachable IP addresses, they can be expected to disconnect from the network for periods of time, and they frequently change network locations. This is the typical case for smartphones. The middleware fits into the friend-to-friend ...

    • Toward a Collaborative Platform for Hybrid Designs Sharing a Common Cohort 

      Arnes, Jo Inge (Doctoral thesis; Doktorgradsavhandling, 2024-01-18)
      <p>This doctoral thesis binds together four included papers in a thematical whole and is simultaneously an independent work proposing a platform facilitating epidemiological research. <p><i>Population-based prospective cohort studies</i> typically recruit a relatively large group of participants representative of a studied population and follow them over years or decades. This group of participants ...