Sentence examples for multiple model adjusted from inspiring English sources

Exact(1)

Most significant univariate associations remain significant in the multiple model adjusted for the other variables with some changes of the estimated odds ratio.

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In fact, the multiple model adjusting for the delivered 5-FU dose demonstrates a significantly positive impact of IFN on OS, but not on DFS.

In addition to univariate analysis, we performed multivariate analysis, constructing multiple models adjusted for relevant covariates in a stepwise manner.

We then used a multiple adjustment model adjusted for age, sex, BMI, MMSE, number of prescribed medications, hypertension, heart disease, diabetes mellitus, osteoporosis and GDS (model 2).

In the multiple regression model adjusted for multiple cardiovascular risk factors, we investigated the OR for CAC score > 0 with increasing quartiles of baPWV controlled for the presence of fatty liver.

We ran two mediation analyses: (1) single mediation models (unadjusted, a model that has single mediator), (2) multiple mediation model (adjusted, to obtain the significance of individual mediators within the context of a model that has multiple mediators simultaneously and account for the biological direction between mediators).

A multiple regression model adjusted for age demonstrated that DHT/BMD association is fairly stronger among those with osteoporosis than the normal.

The total variance explained by the multiple regression model (adjusted R) was 18%.

Using Cox's regression models, an unadjusted model for all-cause mortality in patients taking aspirin after diagnosis was created along with a multiple regression model adjusted for age, SES, tumour characteristics, surgery, radiotherapy, chemotherapy, adjuvant endocrine therapy and aspirin use prediagnosis.

For all significant gene-social/behaviour interaction terms (i.e., synergistic association) discovered in Step 1, one uses Chi-squared test (for discrete social/behavioural factors) or the ANOVA model (for continuous social/behavioural factors) or the multiple regression model adjusted for relevant covariates to detect whether the rGE exists.

Association between fasting plasma insulin, fasting and 2-h post-load plasma glucose, 30-min insulin increment (30-min insulin minus fasting insulin over 30-min glucose in an OGTT), BMI and genotype was tested in a multiple regression model, adjusted for age and sex.

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