analytical study(redirected from explanatory study)
analytical studyA comparative study designed to reach causal inferences about hypothesised relationships between risk factors and outcome. Analytical studies identify and quantify associations, test hypotheses, identify causes and determine whether an association exists between variables, such as between an exposure and a disease. Statistical procedures are used to determine if a relationship is likely to have occurred by chance alone. Analytical studies usually compare two or more groups or sets of data.
Case-control study, cohort study, randomised-controlled clinical trial, lab study.
pertaining to or emanating from analysis.
control of confounding by analysis of the results of a trial or test.
draws statistical inferences, mostly about causes, about disease in populations based on available samples of it.
techniques used to draw statistical inferences including multiple regression, path analysis, discriminate analysis and logistic analysis.
a method for testing a hypothesis as part of an investigation of the association between a disease and possible causes of the disease.
a scholarly examination. Specific types of study are also detailed under blind, case-control, cohort, cross-sectional.
one in which a phenomenon is described and an attempt made to analyze the effects of variables on the phenomenon.
one in which a phenomenon is described but no attempt is made to analyze the effects of variables on the phenomenon.
one carried out to find out whether there has been change in the situation since the initial study.
one carried out over a period of time so that chronological time has an opportunity to exert an effect as a variable.
see descriptive study (above).
one in which the data to be studied are yet to be generated, the events having not yet occurred.
one based on examination of existing data, on events that have already occurred.
one in which the real circumstances are simulated, either in fact, or by means of a set of mathematical formulae each of which expresses the probability of each outcome in a series of consequential events that mirror the possible pathways in a real-life situation.