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  2. Scientific control - Wikipedia

    en.wikipedia.org/wiki/Scientific_control

    The simplest types of control are negative and positive controls, and both are found in many different types of experiments. [2] These two controls, when both are successful, are usually sufficient to eliminate most potential confounding variables: it means that the experiment produces a negative result when a negative result is expected, and a ...

  3. Wikipedia:Negative Controls - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Negative_Controls

    A Negative control test can reject study design, but it cannot validate them. Either because there might be another confounding mechanism, or because of low statistical power. Negative controls are increasingly used in the epidemiology literature [3], but they show promise in social sciences fields [4] such as economics [5]. Negative controls ...

  4. IMViC - Wikipedia

    en.wikipedia.org/wiki/IMViC

    The IMViC tests are a group of individual tests used in microbiology lab testing to identify an organism in the coliform group. A coliform is a gram negative , aerobic, or facultative anaerobic rod, which produces gas from lactose within 48 hours.

  5. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  6. Simmons' citrate agar - Wikipedia

    en.wikipedia.org/wiki/Simmons'_citrate_agar

    In a sample, E. coli, which is citrate-negative, can be distinguished from non-fecal, citrate-positive coliforms that are often found in water, soil, and on plants using Simmons’ agar. Additionally, Simmons’ agar is commonly used as part of the IMViC tests to identify coliforms. [4]

  7. Difference in differences - Wikipedia

    en.wikipedia.org/wiki/Difference_in_differences

    Difference in differences (DID [1] or DD [2]) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. [3]

  8. File:Positive and negative predictive values.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Positive_and_negative...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  9. Treatment and control groups - Wikipedia

    en.wikipedia.org/wiki/Treatment_and_control_groups

    A clinical control group can be a placebo arm or it can involve an old method used to address a clinical outcome when testing a new idea. For example in a study released by the British Medical Journal, in 1995 studying the effects of strict blood pressure control versus more relaxed blood pressure control in diabetic patients, the clinical control group was the diabetic patients that did not ...