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  2. Inclusion and exclusion criteria - Wikipedia

    en.wikipedia.org/wiki/Inclusion_and_exclusion...

    Inclusion and exclusion criteria define the characteristics that prospective subjects must have if they are to be included in a study. Although there is some unclarity concerning the distinction between the two, the ICH E3 guideline on reporting clinical studies suggests that. Inclusion criteria concern properties of the target population ...

  3. Inclusion–exclusion principle - Wikipedia

    en.wikipedia.org/wiki/Inclusionexclusion...

    Inclusion–exclusion principle. In combinatorics, a branch of mathematics, the inclusion–exclusion principle is a counting technique which generalizes the familiar method of obtaining the number of elements in the union of two finite sets; symbolically expressed as. where A and B are two finite sets and | S | indicates the cardinality of a ...

  4. Preferred Reporting Items for Systematic Reviews and Meta ...

    en.wikipedia.org/wiki/Preferred_reporting_items...

    The PRISMA flow diagram, depicting the flow of information through the different phases of a systematic review. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is an evidence-based minimum set of items aimed at helping scientific authors to report a wide array of systematic reviews and meta-analyses, primarily used to assess the benefits and harms of a health care ...

  5. Assimilation and contrast effects - Wikipedia

    en.wikipedia.org/wiki/Assimilation_and_contrast...

    The inclusion/exclusion model [ edit ] A more specific model to predict assimilation and contrast effects with differences in categorizing information is the inclusion/exclusion model developed 1992 by Norbert Schwarz and Herbert Bless.< [ 7 ] It explains the mechanism through which effects occur. [ 8 ]

  6. Instrumental variables estimation - Wikipedia

    en.wikipedia.org/wiki/Instrumental_variables...

    In statistics, econometrics, epidemiology and related disciplines, the method of instrumental variables (IV) is used to estimate causal relationships when controlled experiments are not feasible or when a treatment is not successfully delivered to every unit in a randomized experiment. [1]

  7. Selection bias - Wikipedia

    en.wikipedia.org/wiki/Selection_bias

    Selection bias. Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. [1] It is sometimes referred to as the selection effect.

  8. Promoting Healthy Choices: Information vs. Convenience - HuffPost

    images.huffingtonpost.com/2012-12-21-promoting...

    recommended by the Center for Science in the Public Interest (2003). Yet despite ongoing legislative debate, it is unclear whether these initiatives will have the intended effect, or, even if successful, represent the most effective means for producing such change. In order to address this question, we compared the efficacy of two different ...

  9. Systematic review - Wikipedia

    en.wikipedia.org/wiki/Systematic_review

    A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. [1] A systematic review extracts and interprets data from published studies on the topic (in the scientific literature), then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based ...