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Here we describe to the orthopedic community the concept of multilevel modeling and interactions as necessary statistical tools in observational studies.
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The aim of this paper is to describe the concepts of multilevel modeling and interaction in orthopedics.
Subsequently, these various factors are incorporated into an experimental design model, and interactions and main effects are analyzed.
Both univariate and multivariate models and interactions between variables were assessed.
The independent effects were analysed in a fully adjusted model, and interactions were also examined.
Renal status was added to this model and interactions between renal status and each variable were tested.
Interactions between the significant covariates were tested in each model, and interactions that were statistically significant at P < 0.01 remained in the final models.
Two-way interactions were generated for all variables in the initial model and interactions were retained in the model if they were statistically significant (P < 0.05).
Moreover, regression methods can only be used for a limited number of models, and interactions among variables places limits on their use.
Only variables that were significant at the 0.05 level were kept in the model, and interactions among these variables were examined.
The paper then focuses on two critical components of the model that address hydraulic fracture natural fracture interaction (the crossing model) and interaction between hydraulic fractures (stress shadowing).
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