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Origin ID
QR32
Q-Code supplementary keywords
Q-Code scope note
Q-Code conceptual content
ANALYTIC STUDY (Syn. comparative study) ; usually a quantitative study designed to examine associations, commonly putative or hypothesized causal relationships. An analytic study is usually concerned with identifying or measuring the effects of risk factors or the health effects of specific exposure(s) as opposed to a DESCRIPTIVE STUDY, which does not test hypotheses. Common types of analytic studies are cross-sectional, cohort and case control studies. In an analytic study individuals in the study population may be classified according to "attributes" that may influence occurrence of health problems. Attributes may include age, race, gender, health problems, genetic, biochemical, and physiological characteristics, economic status, occupation, residence, and various aspects of the environment or personal behaviour. See CASE CONTROL STUDY, COHORT, CROSS SECTIONAL STUDY.(Wonca dic)
Data Interpretation, Statistical Application of statistical procedures to analyze specific observed or assumed facts from a particular study.(MeSH)
Data: recorded information used to test scientific hypotheses or theories. Data may include laboratory notebooks (paper or digital), field notes, transcribed interviews, spreadsheets, digital images, x-ray photographs, audio or video recordings, and outputs from machines (such as gas chromatographs or DNA sequencers). Original (or primary data) is drawn directly from the data source; secondary (or derived) data is based on the primary data.(NIEHS)
QUANTITATIVE DATA data in numerical quantities, such as continuous measurements or counts.(Woncadic & Dicepid)
Quantitative study ; Any type of research that employs numeric information to explore individual or group characteristics, producing findings arrived at by statistical procedures or other quantitative means (adapted from Dicepid)
Statistical Distributions The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have.(MeSH)
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