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Published on: March 9, 2019

Considering bias in a model to predict pressure injuries in ICU patients - Response to Dai et al

Lin Han1, Yuting Wei2, Juhong Pei3

  • 1Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou City, Gansu Province 730000, China; Department of Nursing, Gansu Provincial Hospital, Lanzhou City, Gansu Province 730000, China.

Intensive & Critical Care Nursing
|August 4, 2024
PubMed
Abstract

No abstract available in PubMed .

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Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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