Using Random Forest Regression to Determine Influential Force-Time Metrics for Countermovement Jump Height: A Technical Report-Reference-Cited by-同舟云学术

Using Random Forest Regression to Determine Influential Force-Time Metrics for Countermovement Jump Height: A Technical Report

Published:2021-10-28 Issue:1 Volume:36 Page:277-283
ISSN:1064-8011
Container-title:Journal of Strength and Conditioning Research
language:en
Short-container-title:

Author:

Merrigan Justin J.,Stone Jason D.,Wagle John P.,Hornsby W. G.,Ramadan Jad,Joseph Michael,Galster Scott M.,Hagen Joshua A.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,General Medicine

Reference29 articles.

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4. The Reliability of countermovement jump performance and the reactive strength index in identifying drop-jump drop height in hurling players;Byrne;J Exerc Sport Med,2017

5. Principal component analysis identifies major muscles recruited during elite vertical jump;Charoenpanich;Age,2013

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2. Dose-Response Relationship for External Workload and Neuromsuclar Performance Over a Female, Collegiate, Basketball Season;Journal of Strength & Conditioning Research;2024-01-19

3. Countermovement Jump Force-Time Curve Analyses: Reliability and Comparability Across Force Plate Systems;Journal of Strength and Conditioning Research;2023-10-06

4. Changes in countermovement jump force-time characteristic in elite male basketball players: A season-long analyses;PLOS ONE;2023-09-27

5. Repeat sprint fatigue and altered neuromuscular performance in recreationally trained basketball players;PLOS ONE;2023-07-17