Sentence examples for multivariate models where from inspiring English sources

Chronic bronchitis changed the beta coefficient for emphysema by more than 10% and thus was included in multivariate models where chronic bronchitis was not the main effect or a component of the main effect (i.e., COPD).

The Cox proportional hazards method with hazard ratios and 95% confidence intervals (CIs) were used to fit both univariate and multivariate models, where stepwise procedure (both forward and backward) were used to evaluate the independent significance of different variables in TTP and OS.

Peters presented multivariate models where cockroach allergen concentrations depended on having holes in walls and ceilings, and the degree of cleanliness and clutter in the apartment, termed housekeeping practices.

Variables (for TEs: conflict-related trauma, witnessing murder, traumatic losses, childhood adversities; for ADAPT: safety/security, justice) producing significant univariate associations (p < 0.05) were included in multivariate models where we tested for the hypothesized interaction effects.

At the multivariate level, first a model allowing for quantitative sex differences was fitted, followed by a scalar multivariate model where estimates were equated across sex, with a scalar variable modeled to account for the variance difference in depression and anxiety sensitivity.

The effect of household density was, however, reversed in the multivariate model, where higher density (>1000) produced an increased risk.

IPTp with SP was significantly associated with a reduced risk of neonatal mortality in the univariate analysis of risk factors but not in the multivariate model, where placental malaria, low birth weight, cord blood parasitaemia and pre-term birth had a stronger association with the risk of death.

Variables were considered statistically significant and retained in the final multivariate model where p < 0.05.

The interaction between erbB2 and treatment did not reach statistical significance in a multivariate model, where Akt was replaced by erbB2 (P = 0.095).

In an alternative multivariate model where ER, PR and grade were replaced by molecular subtypes, only luminal B/HER2-negative and triple-negative subtypes were associated with reduced DFS and DDFS.

Variables that were significant in these regression models at p < 0.1 were selected for inclusion in the final multivariate model where p < 0.05 was indicative of independent statistical significance.