Sentence examples for characteristics attrition from inspiring English sources

Exact(2)

Topics covered are the support in industrial type catalysts, pore characteristics, attrition of particles, pore diffusion, loading and heat treatment of aluminates, turn-over-frequency and selectivity to C5+ products.

We will conduct a preliminary analysis summarising: participant (individual and cluster) characteristics; attrition rates; likely estimates of effect and ICC for the outcomes.

Similar(58)

Trial recruitment and retention will be assessed by examining sample characteristics and attrition rates and predictors.

Heterogeneity was examined using chi-squared and I-squared statistics and where possible we used meta-regression to test for the effect of trial characteristics on attrition.

It is possible that sites that initiated performance based financing earlier had other unmeasured characteristics that influenced attrition outcomes, and further research should examine the specific impact of this strategy on lowering attrition in African ART programs.

Overall, the differences in baseline characteristics due to attrition appear to be relatively minor.

Factors which affect the attrition characteristics including hardness, mechanical strength and surface properties were investigated with particle size distribution (PSD) analysis, scanning electron microscope (SEM), nanoindentation and particle strength tests.

Design characteristics that influence attrition in geriatric antidepressant trials: meta-analysis.

Table  3 displays patient- and health facility-level characteristics associated with attrition in the bivariate and multi-variable analyses adjusting for various demographic, clinical and site characteristics.

[ 4, 5] We aimed to analyse the drop out rates from randomized controlled trials of self monitoring of oral anticoagulation and oral diabetes, to examine the patient and trial characteristics that effect attrition.

Since smoking was one of the characteristics associated with attrition, we report results based on weighted data at age 19 (n = 1006, because only those who had completed all previous waves were assigned a weight).

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