Related Experiment Video
Updated: Apr 23, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
[Multivariate factors analysis on length of stay in Lushan earthquake victims]
Objective:
To clarify the factors associate with the length of stay (LOS) in Lushan Earthquake victims.
Methods:
We retrospectively analyzed the medical information of 263 traumatic patients admitted to West China Hospital, Sichuan University after the Lushan Earthquake. Ten variables extracted for the analysis, including gender, age, injuried time, multiple injury, infection, comorbidities, Injury Severity Score (ISS), Revised Trauma Score (RTS) CRAMS score, and Prehospital Index (PHI). Univariable analysis using multiple stepwise regression analysis was performed to identify the factors associated with extended LOS.
Results:
Infection, ISS score, and Pre-hospital Time were associated with extended LOS, and infection was the most weighted factor. The regression equation is: LOS (h) = 498.36 + 671.41 x Infection + 43.87 x ISS score - 5.12 x Pre-hospital Time.
Conclusion:
This study demonstrated that trauma patients with infections and high ISS scores were at increased risk for extended LOS and pre-hospital time decreased the risk.
Related Concept Videos
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Comparing the Survival Analysis of Two or More Groups
Longitudinal Studies
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Factorial Design
Factors Affecting Creep
Further, the water/cement ratio is critical, as a lower ratio increases concrete strength, thus reducing creep. The strength of the...