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    tsf
    Nov 03, 2017
    Edited: Nov 01, 2018

    p: what does it mean?

    in Statistical Analysis

    this is a trial question

    3 comments
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    tsf
    Nov 27, 2017

    There are four things to consider while making a statement of clinical significant:

    1) p, - p is just one of the parameter

    2) confidence interval, that is the precision of the estimate

    3) beta- the power of the study

    4) magnitude of absolute difference or absolute risk difference, this can only be judged by content expert, not by statistical value

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    pingfoo
    Nov 27, 2017

    thank you Prof

    Like

    tsf
    Nov 10, 2017

    Simplistically, p is the probability of error in an observation due to random error. for an example, if a statistical test produces a p of 0.003, it means that the probability of error in the observed differences (between observed and true differences) is 0.3%. With a conventional p setting at 0.05, allowing an acceptable error of 5%, we will accept the observed difference as "true" difference.

    a good source of detail explanation: https://www.statsdirect.com/help/basics/p_values.htm

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    3 comments

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