Results 41 to 50 of about 4,206 (116)

Spearman’s rank correlation coefficient (ρ), N = 30, (p<0.001 = ***, p<0.01 = ** and p<0.05 = *).

, 2012
Spearman’s rank correlation coefficient (ρ), N = 30 ...
Helen V. Lubarsky (170802), Cédric Hubas (170814), David M. Paterson (170830), Sebastian Behrens (60313), Sabine U. Gerbersdorf (170809), Francesco Ricciardi (170821)   +5 more
core   +1 more source

Results of Spearman’s rank correlation coefficient analysis and Bland-Altman analysis when set to non-trained rotation angles and k-space intervals.

, 2022
Results of Spearman’s rank correlation coefficient analysis and Bland-Altman analysis when set to non-trained rotation angles and k-space intervals.
Koichiro Yasaka (13794362), Hiroyuki Akai (321585), Nobukiyo Yoshida (13794356), Yukinori Okada (132408), Akira Kunimatsu (156363), Hajime Kageyama (13794359), Haruto Sugawara (13794365)   +6 more
core   +1 more source

The PBS Score – a clinical assessment tool for the ambulatory and recurrent clubfoot

Journal of Children's Orthopaedics, 2019
Purpose The signs for clubfoot relapse are poorly defined in the literature and there is a lack of a scoring system that allows assessment of clubfeet in ambulatory children.
S. Böhm, M. F. Sinclair
doaj   +1 more source

Cross‐cultural adaptation of the Korean Synkinesis Assessment Questionnaire: A validation study

Laryngoscope Investigative Otolaryngology, 2023
Objective The Synkinesis Assessment Questionnaire (SAQ) is a reliable tool to assess synkinesis symptoms; however, it is yet to be validated in Korea. Thus, this study aimed to translate and validate the Korean SAQ.
Sang‐Soo Nam, Yoon Jae Lee, Bonhyuk Goo, Jung‐Hyun Kim, Seung‐Min Lee, Me‐Riong Kim, In‐Hyuk Ha, Jee Young Lee   +7 more
doaj   +1 more source

Glycosaminoglycan, Antimicrobial Defence Molecule and Cytokine Appearance in Tracheal Hyaline Cartilage of Healthy Humans

Journal of Functional Morphology and Kinesiology, 2022
Hyaline cartilage is an important tracheal structure, yet little is known about its molecular composition, complicating investigation of pathologies and replacement options.
Arina Deņisova, Māra Pilmane, Pavlo Fedirko   +2 more
doaj   +1 more source

Spearman’s rank correlation coefficient between the preliminary predictor variables during the 1994–2012 epoch.

, 2015
*, P < 0.05.**, P < 0.01Spearman’s rank correlation coefficient between the preliminary predictor variables during the 1994–2012 epoch.
Zhikai Xu (331982), Jing Le (721364), Kejian Wu (520323), Xin Tan (721363), Yongping Yan (286515), Haitao Li (305080), Dan Xiao (286512)   +6 more
core   +1 more source

Correlation between serum markers estimated by Spearman’s rank correlation coefficient, rho (n = 241).

, 2013
*The upper part are the Spearman’s rank correlation coefficients, rho; the lower part are the p-values of the Spearman’s rank correlation test.
Chee Kiat Tan (434908), Andi Utama (434902), Soo Fan Ang (434899), Han Chong Toh (434909), Wan Cheng Chow (434907), Rajneesh Kumar (434900), Charmain Heah (434901), Navessa Padma Tania (434903), Sze Huey Tan (434904), Who-Whong Wang (434898), Huihua Li (166588), Su Pin Choo (434906), Desmond Poo (434905)   +12 more
core   +1 more source

Spearman’s rank correlation coefficient between the preliminary predictor variables during the 1971–1993 epoch.

, 2015
*, P < 0.05.**, P < 0.01Spearman’s rank correlation coefficient between the preliminary predictor variables during the 1971–1993 epoch.
Zhikai Xu (331982), Jing Le (721364), Kejian Wu (520323), Xin Tan (721363), Yongping Yan (286515), Haitao Li (305080), Dan Xiao (286512)   +6 more
core   +1 more source

Correlation analysis based on Spearman’s rank correlation coefficient between gene expression data and the histological grade (or metastasis status).

, 2014
Correlation analysis based on Spearman’s rank correlation coefficient between gene expression data and the histological grade (or metastasis status).
Hiromi Sakamoto (212872), Anna Takahashi (475164), Robert Nakayama (475154), Tetsuro Nakamura (475162), Shintaro Sugita (475165), Shigetaka Marui (475160), Nanako Ishibashi (625673), Teruyoshi Takahashi (475158), Koji Yasuhara (475161), Risa Ichinohe (616031), Yoriko Ikuyo (625674), Tadashi Hasegawa (65726), Hiro Takahashi (65723), Ayano Doi (616032), Teruhiko Yoshida (65725)   +14 more
core   +1 more source

Criterion validity using Spearman’s rank correlation coefficient.

Criterion validity using Spearman’s rank correlation coefficient.
Sarah Nascimento Silva (8987663), Mariana Lourenço Freire (6996530), Janaína de Pina Carvalho (12152812), Gláucia Cota (4679719), Tália Santana Machado de Assis (12152809), Endi Lanza Galvão (4500976)   +5 more
core   +1 more source