Sentence examples for avoid duplicate data from inspiring English sources

Exact(6)

Post hoc study derived from the TTM trial [26] was also not included to avoid duplicate data: it was found a possible worsening in outcome in the TTM 33 °C group for patients with shock at hospital admission [45].

We examined the authors' names and affiliations carefully to avoid duplicate data or overlapping articles.

In order to avoid duplicate data, numbers were only added from the databases of the SIREVA Project (only for invasive isolates) available via the PAHO website, [ 23].

To avoid duplicate data, the values of the association tests are not provided in the text and are only shown in tables.

To avoid duplicate data, we identified articles that included the same cohort of patients by reviewing interstudy similarity in the country in which the study was performed, investigators in the study, source of patients, recruitment period and inclusion criteria.

It was important to get a good understanding of how the curriculum phases flow and most importantly what is covered within which phase or year of study, whether modules are theoretically or clinically orientated, and which modules are presented to more than one programme to avoid duplicate data collection and extraction.

Similar(54)

In principle I have no problem with this: avoid duplicating data, and focus on providing a great product.

Successive cultures from the same patient were excluded to avoid duplicating data.

Reduces costs by avoiding duplicate data collection efforts.

The larger scientific community also benefits: sharing data encourages multiple perspectives, helps to identify errors, discourages fraud, is useful for training new researchers, and increases efficient use of funding and patient population resources by avoiding duplicate data collection.

InterRAI AC as an electronic web-based software system can give hospitals the possibility to evaluate patients systematically, in a standardized way, across all domains, centralizing medical, allied health professionals and nursing data, avoiding duplicated data and exchanging data with other settings.

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