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  2. Pre- and post-test probability - Wikipedia

    en.wikipedia.org/wiki/Pre-_and_post-test_probability

    The individual's pre-test probability was more than twice the one of the population sample, although the individual's post-test probability was less than twice the one of the population sample (which is estimated by the positive predictive value of the test of 10%), opposite to what would result by a less accurate method of simply multiplying ...

  3. Between-group design experiment - Wikipedia

    en.wikipedia.org/wiki/Between-group_design...

    The main disadvantage with between-group designs is that they can be complex and often require a large number of participants to generate any useful and reliable data. For example, researchers testing the effectiveness of a treatment for severe depression might need two groups of twenty patients for a control and a test group. If they wanted to ...

  4. Solomon four-group design - Wikipedia

    en.wikipedia.org/wiki/Solomon_four-group_design

    The first two groups receive the evaluation test before and after the study, as in a normal two-group trial. The second groups receive the evaluation only after the study. [citation needed] The effectiveness of the treatment can be evaluated by comparisons between groups 1 and 3 and between groups 2 and 4. [citation needed]. In addition, the ...

  5. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]

  6. Regression discontinuity design - Wikipedia

    en.wikipedia.org/wiki/Regression_discontinuity...

    In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest–posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned.

  7. The Carnivore Diet Wants to Convince You to Eat a Stick of ...

    www.aol.com/carnivore-diet-wants-convince-eat...

    This controversial way of eating is gaining traction online.

  8. Likelihood ratios in diagnostic testing - Wikipedia

    en.wikipedia.org/wiki/Likelihood_ratios_in...

    Alternatively, post-test probability can be calculated directly from the pre-test probability and the likelihood ratio using the equation: P' = P0 × LR/(1 − P0 + P0×LR), where P0 is the pre-test probability, P' is the post-test probability, and LR is the likelihood ratio. This formula can be calculated algebraically by combining the steps ...

  9. 12 reasons you aren't losing weight even though you're eating ...

    www.aol.com/12-reasons-arent-losing-weight...

    For example, the diabetes medication Metformin isn't associated with weight gain like insulin and older meds. Beyond medication, focus on what you can control: making lifestyle changes that keep ...

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