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Quantitative data in high-throughput experimentation are extremely important in the secondary development stage, comprising catalyst testing, kinetic studies, diagnostics, catalyst characterization (temperature programmed techniques), and stability tests.
Observational studies were both quantitative (for example, registries, audits, quality improvement studies, diagnostics, translational biology or long-term follow-up studies), and qualitative (for example, interviews, focus groups).
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In some studies, diagnostic tests were used, but these varied considerably from study to study.
Ultimately, for prevalence studies, diagnostic validation is crucial.
On level 3 quantitative and mixed methods studies were subdivided into intervention studies, diagnostic studies, observational studies, and others.
To study diagnostic thresholds for polycystic ovary (PCO).
The AMPP study diagnostic module is validated for the diagnosis of migraine in the population [14].
In the present study, diagnostic PCR assays were developed to detect and distinguish Kudoa spp. from olive flounder muscle.
Due to the small number of lesions found in this study, diagnostic performance can only be discussed with the utmost caution.
The sample size was calculated on the basis of the primary outcome of the study, diagnostic accuracy, presented in an earlier article [10].
The number of studies, the number of individuals per study, diagnostic accuracy values, heterogeneity, correlation, and disease prevalence were evaluated as factors.
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