Statistical primer: an introduction to the application of linear mixed-effects models in cardiothoracic surgery outcomes research-a case study using homograft pulmonary valve replacement data.

Xu WangEleni-Rosalina AndrinopoulouKevin M VeenAd J J C BogersJohanna J M Takkenberg

Published in: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery (2022)

Linear mixed-effects models can provide evolutional details of repeated measurements and give more valid estimates compared to linear regression models in the setting of cardio-thoracic surgery outcomes research.

Keyphrases

thoracic surgery
minimally invasive
pulmonary hypertension
aortic valve
big data
machine learning
atrial fibrillation
glycemic control
aortic stenosis
deep learning
weight loss
transcatheter aortic valve replacement
surgical site infection