Sentence examples for multivariable model excluding from inspiring English sources

Covariates that were associated with the outcome at P < 0.05 in a multivariable model (excluding exposure), or for which there were biological priors (parental history of asthma/allergy and child sex) were included in the final models.

In the examination of Birmingham hip resurfacing compared with cemented and uncemented procedures, we included only men and thus refitted the multivariable model excluding the sex covariate, but with no adjustment required for sex, and an adjusted survival curve estimated for each of the three surgery procedures.

The final multivariable model excluded studies with missing values on the included covariates and was therefore based on 339 (96%) of the included studies.

The sensitivity analyses involved repeating the multivariable modeling excluding those children who did not maintain continuous enrollment in PFK, then excluding those children with less than 60 days of follow-up after their first event, and finally performing the analyses in those children who did not have birth records in the PFK database.

When we repeated multivariable models, excluding travel-associated infections and including a single case for each identified outbreak, the incidence rate for S. enterica serotype Typhimurium was similar in LTCF residents and community residents (IRR 0.91, 95% CI 0.64 1.29; p = 0.59).

The results of the second multivariable analysis model (excluding baseline glycemia measures and thus including larger numbers) are summarized in Table 4. Variables that were eliminated for all outcomes are not shown.

To assess differences between surgery procedures in each ASA grade separately, we refitted the multivariable Royston-Parmar model (excluding ASA grade) for each of the grades separately, and estimated the differences between cemented and uncemented groups for each.

To describe the combined epidemic outside the known high-risk groups, we ran the final multivariable model after excluding all IDUs.

Parameters that were not significant anymore in the combined multivariable model were excluded from the final multivariable model.

Participants without complete data for all covariates in a given multivariable model were excluded from that analysis.

In each multivariable model, we excluded those, who did not report an outcome of interest, but were infected with another selected STI - as presented in the Table 1.