Bayesian and frequentist statistical models to predict publishing output and article processing charge totals
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DOI: 10.1002/asi.24981
Abstract: Academic libraries, institutions, and publishers are interested in predicting future publishing output to help evaluate publishing agreements. Current predictive models are overly simplistic and provide inaccurate predictions. This paper presents Bayesian and frequentist statistical models… read more here.
Keywords: year; bayesian frequentist; publishing output; article ... See more keywords
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
Sign Up to like & getrecommendations! Published in 2019 at "Multivariate Behavioral Research"
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
Comparative study of Bayesian and frequentist methods for epidemic forecasting: Insights from simulated and historical data.
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DOI: 10.1177/09622802251387451
Abstract: Accurate epidemic forecasting is critical for effective public health interventions. This study compares Bayesian and Frequentist estimation frameworks within deterministic compartmental epidemic models, focusing on nonlinear least squares (NLS) optimization versus Bayesian inference assuming a… read more here.
Keywords: bayesian frequentist; frequentist; epidemic forecasting; forecasting ... 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