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  • asymptotically
  • As with the confidence interval, there are two asymptotically equivalent ways to form this test: (1) Test whether the parameter b differs from 0 in the natural space of the model (H0: b = 0), or (2) test whether the transformed parameter differs from 1 in the OR space (H0: exp(b) = 1). (stata.com)
  • case
  • A complication arises from the fact that the simplest version of the proposed interval is discontinuous in the limit case of point identification, leading to coverage rates that are not uniform in important subsets of the parameter space. (repec.org)
  • true
  • However, the interval computed from a particular sample does not necessarily include the true value of the parameter. (wikipedia.org)
  • Here the experimenter sets out the way in which they intend to calculate a confidence interval and to know, before they do the actual experiment, that the interval they will end up calculating has a particular chance of covering the true but unknown value. (wikipedia.org)