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Statistical analysis

WZ Wensi Zhang
TG Teng Gao
FL Fanglin Liu
HZ Haijing Zhang
SW Shaoheng Wang
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The relationships between the sleep index and risk factors among patients undergoing gynaecological day surgery will be the study’s main outcomes. A multiple linear regression model will be used to assess the continuous dependent variable: the sleep index. Stepwise regression will be carried out using a prediction model. To recreate the model using the step technique and perform a collinearity diagnosis across all factors, useless factors will be eliminated, while meaningful factors will be kept. Principal component regression will be used if there is an excessive amount of collinearity. Multiple imputation can be used to replace missing data of variables. This statistical approach is rational and scientifically supported.

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