Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mattheu Ollivier"'
Autor:
Christina M. Eckhardt, Sophia J. Madjarova, Riley J. Williams, Mattheu Ollivier, Jón Karlsson, Ayoosh Pareek, Benedict U. Nwachukwu
Publikováno v:
Knee Surgery, Sports Traumatology, Arthroscopy. 31:376-381
Autor:
Sophia J. Madjarova, Ayoosh Pareek, Christina M. Eckhardt, Arjun Khorana, Kyle N. Kunze, Mattheu Ollivier, Jón Karlsson, Riley J. Williams, Benedict U. Nwachukwu
Publikováno v:
Knee Surgery, Sports Traumatology, Arthroscopy. 30:3924-3928
Autor:
Sophia J. Madjarova, Riley J. Williams, Benedict U. Nwachukwu, R. Kyle Martin, Jón Karlsson, Mattheu Ollivier, Ayoosh Pareek
Publikováno v:
Knee Surgery, Sports Traumatology, Arthroscopy. 30:3245-3248
Autor:
Christina M, Eckhardt, Sophia J, Madjarova, Riley J, Williams, Mattheu, Ollivier, Jón, Karlsson, Ayoosh, Pareek, Benedict U, Nwachukwu
Publikováno v:
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA.
Unsupervised machine learning methods are important analytical tools that can facilitate the analysis and interpretation of high-dimensional data. Unsupervised machine learning methods identify latent patterns and hidden structures in high-dimensiona
Autor:
Sophia J, Madjarova, Ayoosh, Pareek, Christina M, Eckhardt, Arjun, Khorana, Kyle N, Kunze, Mattheu, Ollivier, Jón, Karlsson, Riley J, Williams, Benedict U, Nwachukwu
Publikováno v:
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA. 30(12)
The aim of this paper is to close the knowledge-to-practice gap around statistical power. We demonstrate how four factors affect power: p value, effect size, sample size, and variance. This article further delves into the advantages and disadvantages
Autor:
Sophia J, Madjarova, Riley J, Williams, Benedict U, Nwachukwu, R Kyle, Martin, Jón, Karlsson, Mattheu, Ollivier, Ayoosh, Pareek
Publikováno v:
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA. 30(10)
Due to its frequent misuse, the p value has become a point of contention in the research community. In this editorial, we seek to clarify some of the common misconceptions about p values and the hazardous implications associated with misunderstanding