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Table 2 Relationship between hypercholesterolemia and hypertension estimated using univariable- and multivariable regression analysis and IPW

From: Noncollapsibility and its role in quantifying confounding bias in logistic regression

  \(\beta\) \(SE(\beta )\) \(95\% CI\) \(P\)
Univariable exposure effect
Hypercholesterolemia 0.90 0.23 0.47; 1.35  < 0.01
Multivariable confounder-adjusted exposure effect
Hypercholesterolemia 0.93 0.23 0.48; 1.38  < 0.01
Physical activity 0.01 0.01 -0.02; 0.03 0.60
IPW confounder-adjusted exposure effect
Hypercholesterolemia 0.99 0.16 0.69; 1.30  < 0.01
  1. Abbreviations: SE: standard error; CI: confidence interval