Mixed bias
Confusion means that the relationship between the factors studied and the results is confused by other external factors. This external factor is called a confounding variable. It is a risk factor of disease, which is related to the factors studied, and its distribution in contact group and control group is unbalanced.
Gender and age are the most common confounding factors in epidemiological research.
Mixed bias is the test site that may be involved in the examination for attending doctors in health education. The Medical Education Network has compiled it for your reference.
Mixed bias means that the correlation between exposure factors and disease occurrence is distorted or interfered by other factors.
Confusion means that the relationship between the studied factors and the results is confused by other external factors, which are called confounding variables. It is a risk factor of disease, which is related to the factors studied. Its distribution in the contact group and the control group is unbalanced.
Mixed bias makes the research conclusion unable to reflect the real causal relationship. This bias is often due to the limitation of researchers' professional knowledge, and they don't know the existence of hybridity, or they know it but don't know it. Mixed bias is often revealed in the data analysis stage. So once you know it, you can try to correct it.
Gender and age are the most common confounding factors in epidemiological research.
Confounding factors: ① Not the exposure factors to be studied, but the external variables (such as age, sex, smoking, drinking and other living habits) routinely collected during the research; ② It is a risk factor of the studied disease, or indirectly plays an etiological role through other risk factors; ③ There is a statistical relationship between it and the exposure factors studied, but they exist independently.