Sentence examples for each morbidity from inspiring English sources

The coefficients of each morbidity group within the selected indices were estimated from the estimation sample.

Table 3 shows odds of a female excess of each morbidity measure.

Table 3 gives the summary concordance measures for each morbidity and two-way morbidity combination.

A total of eight regression models, four per each morbidity outcome, were constructed.

Thus, a separate time-to-event analysis on each morbidity is necessary.

The number of new consulters for each morbidity and unadjusted OR are given in the Supplementary table, with the adjusted OR shown in table 1.

In order to identify the robust associations from the over 200 associations produced by this analysis, Empirical Bayes (EB) methods 32 were used to shrink the effect for each morbidity-PD association towards the null in proportion to the variance of the OR.

In addition, interactions between each co-morbidity and each age category were tested, with each of three ASA-PS categories: high (ASA-PS IV or V), medium (III) or low (I or II).

Following adjustment for age, gender and ethnicity, the mean SBP was 2.03 mmHg lower for each additional morbidity.

We calculated descriptive statistics for age, gender, social class and Townsend score for each CTVB category and calculated the proportions of respondents reporting each lifestyle and morbidity outcome for each category of CTVB, NS-SEC, and Townsend fifth.

At each home visit, morbidity information for each of the previous 3 4 days since last visit was recorded, including number of diarrheal stools, consistency of stools and blood in stools, pneumonia, fever, ear discharge, measles, vomiting and feeding history.