Sökning: "Covariate Selection"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Covariate Selection.

  1. 1. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Natalia Andreeva; [2023-08-23]
    Nyckelord :;

    Sammanfattning : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. LÄS MER

  3. 2. Selection of Sufficient Adjustment Sets for Causal Inference : A Comparison of Algorithms and Evaluation Metrics for Structure Learning

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Agnes Widenfalk; [2022]
    Nyckelord :Causal Inference; Structure Learning; PC-algorithm; Covariate Selection; Causal Graphs;

    Sammanfattning : Causal graphs are essential tools to find sufficient adjustment sets in observational studies. Subject matter experts can sometimes specify these graphs, but often the dependence structure of the variables, and thus the graph, is unknown even to them. In such cases, structure learning algorithms can be used to learn the graph. LÄS MER

  4. 3. Evaluating Risk Factors with Regression : A Review and Simulation Study of Current Practices

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ragna Reinhammar; [2022]
    Nyckelord :;

    Sammanfattning : The term ”risk factor” is used synonymously with both predictor and causal factor, and causal aims of explanatory analyses are rarely stated explicitly. Consequently, the concepts of explaining and predicting are conflated in risk factor research. LÄS MER

  5. 4. Confounder Parsing for Text Matching

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jannes Reichl; Johan Rönkkö; [2021-07-06]
    Nyckelord :Text matching; confounder parsing; causal inference; covariate balance; International Monetary Fund; policy evaluation;

    Sammanfattning : In observational studies for policy evaluation, matching is used in service of causal inference to simulate randomization and thus reduce selection bias that might occur when treatment assignment differs systematically. This is done by balancing the distribution of confounding covariates measured before treatments. LÄS MER

  7. 5. Improved estimation of hunting harvest using covariates at the hunting management precinct level

    Master-uppsats, Linköpings universitet/Institutionen för fysik, kemi och biologi

    Författare :Paula Jonsson; [2021]
    Nyckelord :Bayesian statistics; covariates; land cover; credible interval; model selection;

    Sammanfattning : In Sweden, reporting is voluntary for most common felled game, and the number of voluntary reports can vary between hunting teams, HMP, and counties. In 2020, an improved harvest estimation model was developed, which reduced the sensitivity to low reporting. LÄS MER