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  2. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    Propensity scores are used to reduce confounding by equating groups based on these covariates. Suppose that we have a binary treatment indicator Z, a response variable r, and background observed covariates X. The propensity score is defined as the conditional probability of treatment given background variables:

  3. Achenbach System of Empirically Based Assessment - Wikipedia

    en.wikipedia.org/wiki/Achenbach_System_of...

    The ASEBA was created by Thomas Achenbach in 1966 as a response to the Diagnostic and Statistical Manual of Mental Disorders (DSM-I). [3] This first edition of the DSM contained information on only 60 disorders; the only two childhood disorders considered were Adjustment Reaction of Childhood and Schizophrenic Reaction, Childhood Type.

  4. List of statistics articles - Wikipedia

    en.wikipedia.org/wiki/List_of_statistics_articles

    Age adjustment; Age-standardized mortality rate ... Ethical problems using children in clinical trials; Event (probability theory) ... Propensity score; Propensity ...

  5. Behavior Rating Inventory of Executive Function - Wikipedia

    en.wikipedia.org/wiki/Behavior_Rating_Inventory...

    Each form of the BRIEF parent- and teacher- rating form contains 86 items in eight non-overlapping clinical scales and two validity scales.These theoretically and statistically derived scales form two indexes: Behavioral Regulation (three scales) and Metacognition (five scales), as well as a Global Executive Composite [6] score that takes into account all of the clinical scales and represents ...

  6. Experiment - Wikipedia

    en.wikipedia.org/wiki/Experiment

    However, propensity score matching is no longer recommended as a technique because it can increase, rather than decrease, bias. [21] Outcomes are also quantified when possible (bone density, the amount of some cell or substance in the blood, physical strength or endurance, etc.) and not based on a subject's or a professional observer's opinion.

  7. Inverse probability weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_probability_weighting

    An alternative estimator is the augmented inverse probability weighted estimator (AIPWE) combines both the properties of the regression based estimator and the inverse probability weighted estimator. It is therefore a 'doubly robust' method in that it only requires either the propensity or outcome model to be correctly specified but not both.

  8. Adjustment disorder - Wikipedia

    en.wikipedia.org/wiki/Adjustment_disorder

    Adjustment disorder is a mental and behavioral disorder defined by a maladaptive response to a psychosocial stressor. [2] The maladaptive response usually involves otherwise normal emotional and behavioral reactions that manifest more intensely than usual (considering contextual and cultural factors), causing marked distress, preoccupation with the stressor and its consequences, and functional ...

  9. Quasi-experiment - Wikipedia

    en.wikipedia.org/wiki/Quasi-experiment

    propensity score matching or weighting; instrumental variables; Panel analysis; Of all of these designs, the regression discontinuity design comes the closest to the experimental design, as the experimenter maintains control of the treatment assignment and it is known to "yield an unbiased estimate of the treatment effects".