Sökning: "Survival models"

Visar resultat 11 - 15 av 158 uppsatser innehållade orden Survival models.

  1. 11. Bootstrapping methods for assessing causality in survival analysis: A case study on major adverse cardiovascular events

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Paulina Benthem Ciano; [2023]
    Nyckelord :Causality; Graphical models; Bootstrap; Survival analysis; Additive hazards model.; Mathematics and Statistics;

    Sammanfattning : The combination of graphical models with Aalen's additive hazards model, resulting in a model known as dynamical path analysis, permits assessing the effects of different variables on times until an event and decomposing these total effects into direct and indirect effects. This thesis proposes novel bootstrapping methods designed for left-truncated right-censored data, conditional on covariates within the framework of Aalen's additive hazards model, in order to obtain confidence intervals for the estimates. LÄS MER

  2. 12. Regulating emotions in times of crisis - A qualitative study of healthcare managers' interpersonal emotion regulation in the Swedish intensive care during the COVID-19 pandemic

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Författare :Arvid Nygård; Harry Wink; [2023]
    Nyckelord :Emotion Regulation; Interpersonal Emotion Regulation; Crisis Leadership; Crisis; Healthcare;

    Sammanfattning : Crises pose challenges for organisations, generating heavy emotional tolls on employees and other organisational stakeholders. Within these contexts, leaders shoulder a crucial responsibility in regulating negative emotions to ensure organisational survival and success. However, scholars have devoted limited attention to this area of research. LÄS MER

  3. 13. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Abdi Gobena; [2023]
    Nyckelord :Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER

  4. 14. Utmaningar och möjligheter ett företag kan möta vid rebranding och repositioning : En kvalitativ studie som undersöker utmaningar och verktyg företag inom finansbranschen kan använda vid rebranding och repositioning

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Alice Larsson; Alexandra Eklund; [2023]
    Nyckelord :rebranding; repositioning; financial industry; challenges; models; strategies; rebranding; repositioning; finansbranschen; utmaningar; modeller; strategier;

    Sammanfattning : Finansbranschen utmärker sig som en bransch med höga krav på tillförlitlighet och trovärdighet. En grundförutsättning för finansföretagens överlevnad är kundens fortsatta förtroende där varumärket har en avgörande roll. LÄS MER

  5. 15. Wind Turbine Recovery Forecasting using Survival Analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Anton Palets; [2023]
    Nyckelord :Survival analysis; Recovery Forecast; Wind Turbine; Availability Forecast; AFT model; Aalen s model; Cox regression; Cox Proportional Hazards; Variation Processes; Mathematics and Statistics;

    Sammanfattning : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. LÄS MER