Sentence examples for baseline covariates data not from inspiring English sources

The estimates did not materially change when we used unweighted models with or without baseline covariates (data not shown).

All baseline covariate data were self-reported.

Results were unchanged in a sensitivity analysis restricted to cases with complete baseline covariate data.

We did not impute missing follow-up data but used multivariate logistic regression to identify baseline covariates predictive of missing data and included these (disease, age, general health, deprivation index, and home ownership) as covariates.

Only cases with missing data for baseline covariates were not able to be included in the models reported (that is, 60 men and 48 women).

Of the 29 papers published after 2007, nine papers did not state the proportion of missing data at each follow up wave, three papers provided a comment as to why the data were missing and eight papers compared the baseline covariates for those with and without missing covariate data at the repeated waves of follow up.

Unless otherwise stated, data were adjusted for all baseline covariates (table 1 ) and the baseline and time-varying DAS28ESR or cDAI.

Baseline covariates for the current analyses were obtained from DCCT baseline history, physical examination, and laboratory data (fasting lipids and renal function).

First, the estimates are not very sensitive to the inclusion of baseline covariates, which is consistent with the baseline covariates being balanced on either side of the TTP cutoff.

Adjustment of baseline covariates was not considered in the analysis.

The net effect of these differences in baseline covariates was not obvious a priori.