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      Association of Training in Basic Life Support with the Evolution of Cardiopulmonary Resuscitation Performed by Firefighters


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          This study aimed to compare the results of professional technical and anthropometric anamnesis data with the transmission of external chest compressions performed by military firefighters at different execution times.


          The objective was to evaluate the performance and perceived effort of the sequence of external chest compressions performed in two minutes, as well as the evolution of the technique over time.

          Materials and Methods

          This was a descriptive, correlational study involving adult firefighters who were members of a specific firefighter group, comprising a population of 105 individuals with a voluntary sample of 44 participants. The study used a Bayesian statistical approach to provide probabilistic expressions.


          The participants had an average work experience of 17 years, an average age of 38.6 years, an average weight of 81.48 kilograms, an average height of 176 centimeters, and an average of 2.5 qualifications. The results indicated that the firefighters performed external chest compressions with excellent technique and a moderate level of perceived effort in a two-minute evaluation. The evaluation of the evolution of the technique over time showed that the participants were able to maintain high-quality compressions for an average of 6 minutes, with a maximum of 20 uninterrupted minutes.


          The study underscores the critical role of professional firefighters in performing and maintaining high-quality external chest compressions, which has the potential to reduce morbidity and mortality in cases of cardiorespiratory arrest.

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          Most cited references35

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          Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology

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            Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP

            Background Despite its popularity as an inferential framework, classical null hypothesis significance testing (NHST) has several restrictions. Bayesian analysis can be used to complement NHST, however, this approach has been underutilized largely due to a dearth of accessible software options. JASP is a recently developed open-source statistical package that facilitates both Bayesian and NHST analysis using a graphical interface. This article provides an applied introduction to Bayesian inference with Bayes factors using JASP. Methods We use JASP to compare and contrast Bayesian alternatives for several common classical null hypothesis significance tests: correlations, frequency distributions, t-tests, ANCOVAs, and ANOVAs. These examples are also used to illustrate the strengths and limitations of both NHST and Bayesian hypothesis testing. Results A comparison of NHST and Bayesian inferential frameworks demonstrates that Bayes factors can complement p-values by providing additional information for hypothesis testing. Namely, Bayes factors can quantify relative evidence for both alternative and null hypotheses. Moreover, the magnitude of this evidence can be presented as an easy-to-interpret odds ratio. Conclusions While Bayesian analysis is by no means a new method, this type of statistical inference has been largely inaccessible for most psychiatry researchers. JASP provides a straightforward means of performing reproducible Bayesian hypothesis tests using a graphical “point and click” environment that will be familiar to researchers conversant with other graphical statistical packages, such as SPSS.
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              A Bayesian perspective on the Bonferroni adjustment


                Author and article information

                Emerg Med Int
                Emerg Med Int
                Emergency Medicine International
                5 May 2023
                : 2023
                : 8150697
                1School of Nursing of Ribeirao Preto, University of Sao Paulo, Avenida Bandeirantes 3900, 14049-900 Ribeirao Preto, São Paulo, Brazil
                2School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Avenida Bandeirantes 3900, 14049-900 Ribeirao Preto, São Paulo, Brazil
                3Sports School of the Military Police of São Paulo State, São Paulo, Brazil
                4Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
                Author notes

                Academic Editor: Chak W. Kam

                Author information
                Copyright © 2023 Marcelo Donizeti Silva et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                : 13 February 2023
                : 3 April 2023
                : 27 April 2023
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
                Research Article

                Emergency medicine & Trauma
                Emergency medicine & Trauma


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