stepwise multivariable linear regression analyses (Minitab Inc)
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Minitab Inc
stepwise multivariable linear regression analyses
Stepwise Multivariable Linear Regression Analyses, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/stepwise+multivariable+linear+regression+analyses/stepwise+multivariable+linear+regression+analyses/pm26922799-90-16-21
Average 90 stars, based on 1 article reviews
Stepwise Multivariable Linear Regression Analyses, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/stepwise+multivariable+linear+regression+analyses/stepwise+multivariable+linear+regression+analyses/pm26922799-90-16-21
Average 90 stars, based on 1 article reviews
stepwise multivariable linear regression analyses - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Dynamic tracking influenced by anatomy in patellar instability. Article Snippet: Article history: Received 9 December 2015 Received in revised form 27 January 2016 Accepted 31 January 2016 Available online xxxx Background: The current study was performed to correlate anatomical parameters related to trochlear dysplasia, tibial tuberosity position, and patella alta with in vivo patellar tracking for subjects with recurrent patellar instability.. Methods: Eight subjects with recurrent patellar instability that failed conservative treatment were evaluated using computational reconstruction of in vivo knee motion.. Computational models were created from dynamic CT scans of the knee during extension against gravity. Article Title: Anatomical factors influencing patellar tracking in the unstable patellofemoral joint. Article Snippet: Results The bisect offset index and lateral tilt were significantly correlated with the lateral trochlear inclination (p ≤ 0.002) and TT–TG distance (p < 0.05), but not the Insall–Salvati index or the Caton–Deschamps index.. For both the bisect offset index and lateral tilt, the standardized beta coefficient, used to identify the best anatomical predictors of tracking, was larger for the lateral trochlear inclination than the TT–TG distance.. Conclusion For this population, the strongest predictor of lateral maltracking that could lead to patellar instability was lateral trochlear inclination. |