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
| Â | \(\beta\) | \(SE(\beta )\) | \(95\% CI\) | \(P\) |
|---|---|---|---|---|
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 |