Likelihood ratios and the strength of statistical evidence [electronic resource] / Jeffrey D. Blume.
Material type:
FilmSeries: Henry Stewart talksBiomedical & life sciences collection. Design and analysis of randomized clinical trials : design, analysis & theory: Publisher: London : Henry Stewart Talks, 2007Description: 1 online resource (1 streaming video file (52 min.) : color, sound)Subject(s): Randomized Controlled Trials as TopicOnline resources: Click here to access online | Series Animated audio-visual presentation with synchronized narration.
Title from title frames.
Contents: Using likelihood ratios to measure the strength of statistical evidence in data -- Paradigms for measuring statistical evidence: the three questions -- Likelihood ratios -- The law of likelihood -- The likelihood principle -- Misleading evidence -- Probabilities of observing misleading evidence and their bounds -- Sequential designs in the likelihood paradigm -- Composite hypothesis and extensions -- Example using real data from a well known clinical trial.
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Mode of access: World Wide Web.