The Role of Randomization in Bayesian and Frequentist Design of Clinical Trial
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DOI: 10.1007/s11245-018-9542-8
Abstract: A key role in inference is played by randomization, which has been extensively used in clinical trials designs. Randomization is primarily intended to prevent the source of bias in treatment allocation by producing comparable groups.… read more here.
Keywords: role; role randomization; bayesian frequentist; randomization ... See more keywords
HybridPower: An R Package for a Bayesian-Frequentist Hybrid Approach to Power Analysis
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DOI: 10.1080/00273171.2018.1557032
Abstract: Power analysis is the gold standard for justifying sample size in study design. Extant software for computing power (e.g., G Power by Faul, Erdfelder, Buchner, & Lang, 2009) can only accept the specification of a… read more here.
Keywords: power analysis; power; effect; size ... See more keywords
Theory and practice of Bayesian and frequentist frameworks for network meta-analysis
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DOI: 10.1136/bmjebm-2022-111928
Abstract: Network meta-analysis (NMA) is an increasingly popular statistical method of synthesising evidence to assess the comparative benefits and harms of multiple treatments in a single analysis. Several automated software packages facilitate conducting NMA using either… read more here.
Keywords: frequentist; analysis; bayesian frequentist; network meta ... See more keywords
Meta-analysis of rare adverse events in randomized clinical trials: Bayesian and frequentist methods
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DOI: 10.1177/1740774520969136
Abstract: Background/aims: Regulatory approval of a drug or device involves an assessment of not only the benefits but also the risks of adverse events associated with the therapeutic agent. Although randomized controlled trials (RCTs) are the… read more here.
Keywords: analysis; treatment; clinical trials; adverse events ... See more keywords