Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said, ...
Control for confounding is crucial in causal observational studies. However, the modelling of continuous confounders has not received much attention. This is probably because in causal research the ...
Data refers to numbers, characters, text, and images that you arrange in some sort of logical or meaningful way.Levels of MeasurementUnderstanding the levels of measurement is crucial for quantitative ...
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