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Using evidence-based decision-support systems developed to guide physicians using computerised physician order entry and electronic medical record systems, we developed a programme for sequentially entering, assessing and extracting individual and summarised population-level quality monitoring and control status indicators.
In order to reduce the influence of extreme outliers, geometric means were preferred to arithmetic means to summarise population infection intensity (Table 1 and Table 2).
From information on mammography screening activities we summarised the population structure (for example, life expectancy, proportions of women in screening ages), socioeconomic circumstances, cultural environment, educational level, quality of healthcare services, and access to treatment for the 27 member states of the European Union, plus Norway, Switzerland, and Iceland.
The population proportional attributable risk summarises the population effect of an exposure taking into account its prevalence.
The following table summarises the population distribution: Hindus form around 65% of the population according to 2001 census.
If this is done separately for each individual in a population, the results can be summarised at the population level as a survival curve for an imaginary population of patients with optimal adherence.
We summarise the population MCMC algorithm as shown in Algorithm 2. In the proposed framework, the state vector is represented as a string of bits.
Figure 1 summarises the population structure.
Descriptive statistics were used to summarise the population.
Table 2 summarises the population sizes required to generate life expectancy estimates with SEs of 1, 2 or 3 years by varying degrees of data aggregation for NSW LGA data.
A key aim of the review will be to search, identify and summarise the population of young girls who are at greatest risk of repeat pregnancy (eg, considering income, social deprivation, ethnicity, degree of rurality, substance misuse, currently in care or care leavers, those from a vulnerable or in at-risk communities).
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