An Updated Recommendation for Multiple Comparisons
Derek C. Sauder,Christine E. DeMars +1 more
- Vol. 2, Iss: 1, pp 26-44
TLDR
In introductory and intermediate statistics courses, instructors often teach the use of analysis of variance (ANOVA) for the purpose of comparing more than two group means and pairwise comparison pr...Abstract:
Instructors of introductory and intermediate statistics courses often teach the use of analysis of variance (ANOVA) for the purpose of comparing more than two group means and pairwise comparison pr...read more
Citations
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Presenting post hoc multiple comparison tests under neutrosophic statistics
Muhammad Aslam,Mohammed Albassam +1 more
TL;DR: This paper will modify the existing least significant difference Test, Bonferroni Test and Scheffe Test under the neutrosophic statistics and compare the performance of the proposed tests with the existing tests under uncertainty environment.
Journal ArticleDOI
A double-blind, placebo-controlled, randomized trial of PXT3003 for the treatment of Charcot–Marie–Tooth type 1A
Shahram Attarian,Peter Young,Thomas H. Brannagan,David H. Adams,Philip Van Damme,Florian P. Thomas,Florian P. Thomas,Carlos Casanovas,Céline Tard,Maggie C. Walter,Yann Péréon,David Walk,Amro M. Stino,Marianne de Visser,Camiel Verhamme,Anthony A. Amato,Gregory T. Carter,Laurent Magy,Jeffrey Statland,Kevin J. Felice +19 more
TL;DR: In this article, a phase 3, international, randomized, double-blind, placebo-controlled study further investigated the efficacy and safety of high- or low-dose PXT3003 (baclofen/naltrexone/D-sorbitol [mg]: 6/0.70/210 or 3/ 0.35/105) in treating subjects with mild to moderate CMT1A.
Journal ArticleDOI
Comparing Masters athletes with varying degrees of coaching for psychological need satisfaction and frustration
TL;DR: In this article, the authors compared groups of MAs with varying degrees of coaching and found that MAs derive benefits from the coached context, while adult athletes >35 years benefited from the coaching context.
Journal ArticleDOI
Critical success factors influencing wearable sensing device implementation in AEC industry
Chukwuma Nnaji,Ibukun Awolusi +1 more
TL;DR: The findings of the overall investigation indicate that the critical success factors (CSFs) typically differs depending on the contingency, however, educating and training workers, promoting personalized WSDs, and conducting detailed and continuous assessments ofWSDs were identified as key strategies to improve the implementation of W SDs regardless of contingency.
Journal ArticleDOI
Bridging the intergenerational gap: the outcomes of a student-initiated, longitudinal, inter-professional, inter-generational home visit program
Kennedy Yao Yi Ng,Gloria Yao Chi Leung,Angeline Jie-Yin Tey,Jia Quan Chaung,Si Min Lee,Amrish Soundararajan,Ka Shing Yow,Nerice Heng Wen Ngiam,Tang Ching Lau,Sweet Fun Wong,Chek Hooi Wong,Chek Hooi Wong,Gerald Choon-Huat Koh +12 more
TL;DR: TriGen, a student-initiated, longitudinal, inter-generational service-learning program consisting ofSS students and healthcare undergraduates can reduce ageism, develop soft skills, inculcate values amongst SS students and Healthcare undergraduates and potentially reduces hospital admissions and emergency department visits, and loneliness amongst frequently admitted older patients.
References
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Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI
A Multiple Comparison Procedure for Comparing Several Treatments with a Control
TL;DR: In this article, a multiple comparison procedure for comparing several treatments with a control is presented, which is based on the Multiple Comparison Procedure for Comparing Several Treatments with a Control (MCPC).
Journal ArticleDOI
No adjustments are needed for multiple comparisons.
TL;DR: A policy of not making adjustments for multiple comparisons is preferable because it will lead to fewer errors of interpretation when the data under evaluation are not random numbers but actual observations on nature.