A model of infectious bronchit was developed in SPF chickens by repeated intranasal infectious routes,and then the influence of compound Chinese traditional medicine on cellular immunity and humoral immunity during preventing and curing infectious bronchitis was studied by MTT,flow cytometry and serum neutralization test in tracheal organ culture.The results showed that compared with the infected group,the compound Chinese traditional medicine group could significantly increase the weight gain of chickens(P<0.05),promote the growth of immunity apparatus,enhance the T lymphocytes proliferate response of chickens and increase serum neutralization antibody titers of chickens significantly(P<0.05),and the ratio of CD4+/CD8+T lymphocytes was improved significantly(P<0.01).The aforementioned results indicated that the compound Chinese traditional medicine could reinforce immune function via preventing both cellular and humoral immunity from depression in the chickens with IBV.

Traditional survival methods have a wide application in the field of biomedical research. However, applying traditional survival methods requires data to meet a set of special assumptions while the Random Survival Forest model can overcome this inconvenience. Herein, we used the clinical data of Primary Biliary Cholangitis (PBC) from Mayo Clinic to introduce and demonstrate Random Survival Forest model from mathematical principles, model building, practical example and attentions, aiming to provide a novel method for doing survival analysis.

Traditional survival methods have a wide application in the field of biomedical research. However, applying traditional survival methods requires data to meet a set of special assumptions while the Random Survival Forest model can overcome this inconvenience. Herein, we used the clinical data of Primary Biliary Cholangitis (PBC) from Mayo Clinic to introduce and demonstrate Random Survival Forest model from mathematical principles, model building, practical example and attentions, aiming to provide a novel method for doing survival analysis.