Chapter

Statistical analysis

From Factors associated with persistent post-COVID-19 condition and functional limitation four years after SARS-CoV-2 infection | Scientific Reports by Sambif

Concepts

  1. Study Models

    "This was an exploratory study. Five multivariable logistic regression models were constructed: three examining associations of acute-phase symptoms and clinical or demographic characteristics with (1

  2. Variable Selection

    "For Phase I, the following step-wise modelling approach was conducted: (i) each acute-phase symptom that occurred in more than 2% of the patients, was analyzed in a univariable logistic regression mo

  3. Persistent PCC

    "For the analysis of persistent PCC, participants with PCC in Phase I who completed Phase II were included. A multivariable logistic regression model was used to examine factors associated with persis

  4. Statistical Analysis

    "To assess potential attrition bias, Phase I characteristics were compared between participants who completed Phase II and those who did not. Categorical variables were compared using Pearson’s two-si

Statistical analysis | Factors associated with persistent post-COVID-19 condition and functional limitation four years after SARS-CoV-2 infection | Scientific Reports | Bifalgorithm | Bifalgorithm