Sentence examples for multivariable analysis followed from inspiring English sources

Multivariable analysis followed a hierarchical model [Victora et al., 1997], which included demographic and socio‐economic variables on the first level; occupational (work hours and type of activities performed in the previous year), and behavioral variables on the second level; workloads on the third level; and wearing protective clothing during harvest on the fourth level.

Univariable analysis followed by multivariable analysis (logistic regression) was done to identify independent predictors of dependent variables.

For timed endpoints such as mortality we will use the Kaplan-Meier survival analysis followed by multivariable Cox proportional hazards model for adjusting for baseline variables.

* Strongest risk factors were identified in a previous univariable analysis, followed by multivariable analyses of each group of risk factors (socio-demographic, clinical, acute psychological, chronic health).

Using SPSS 11.5, we performed univariate analysis followed by multivariable logistic regression to assess independent associations between current asthma, ETS exposure and CPC.

We further analyzed the independent predictors of patients having received at least one ICPC code, as those listed in Table 1, by physicians using bivariate analysis, followed by multivariable analysis by entering predictors with statistically significance into a binary logistic regression equation.

Anxiety was measured using the State-trait anxiety inventory (STAI), range of scores 0 to 80 * Strongest risk factors were identified in a previous univariable analysis, followed by multivariable analysis of each group of risk factors (socio-demographic, clinical, acute psychological, chronic health).

To assess predictors of IFD, select prespecified clinical data and prophylactic antifungal use were compared between those who experienced an IFD and those who did not, using univariate analysis followed by multivariable logistic regression.

We then constructed a multivariable logistic regression model, first considering variables significantly associated with outcomes in univariate analysis, followed by a search for collinear terms.

In a multivariable analysis, the follow-up pressure in the initially treated eye (IOP1C) was directly correlated with treated eye IOP during initial uniocular use (IOP1B, p < 0.001).

In a multivariable analysis, the follow-up pressure in the initially untreated eye (IOP2C) was directly correlated with its baseline IOP2A (p < 0.001), and also tended to be associated with treated IOP1B (p = 0.07).