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Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...

1 Department of Statistics, University of Al-Qadisiyah, Al Diwaniyah, Iraq 2 College of Physical Education and Sport Sciences, University of Al-Qadisiyah, Al Diwaniyah, Iraq The fast-trimmed ...

I have question, does the linear regression in jamovi have maximum likelihood in its settings or background to deal with missing data? just like the path analysis and factor analysis options.