Exploration and analysis of a generalized one-parameter item response model with flexible link functions.

This paper primarily analyzes the one-parameter generalized logistic (1PGlogit) model, which is a generalized model containing other one-parameter item response theory (IRT) models. The essence of the 1PGlogit model is the introduction of a generalized link function that includes the probit, logit, and complementary log-log functions. By transforming different parameters, the 1PGlogit model can flexibly adjust the speed at which the item characteristic curve (ICC) approaches the upper and lower asymptote, breaking the previous constraints in one-parameter IRT models where the ICC curves were either all symmetric or all asymmetric. This allows for a more flexible way to fit data and achieve better fitting performance. We present three simulation studies, specifically designed to validate the accuracy of parameter estimation for a variety of one-parameter IRT models using the Stan program, illustrate the advantages of the 1PGlogit model over other one-parameter IRT models from a model fitting perspective, and demonstrate the effective fit of the 1PGlogit model with the three-parameter logistic (3PL) and four-parameter logistic (4PL) models. Finally, we demonstrate the good fitting performance of the 1PGlogit model through an analysis of real data.

Modern application and thinking of traditional Chinese medicine disease and syndrome combined with animal model / 中草药

Traditional Chinese medicine animal models are widely used in the field of traditional Chinese medicine research. The combination of disease and syndrome models has become the trend of the development of traditional Chinese medicine animal models. In this paper, we find that model manufacturing still exists problems as following through literature review: the selected animals are not in conformity with the constitution of disease population; some diseases lack syndrome manifestation; the correlation between diseases and syndromes are not strong; the disease syndrome combined with animal model evaluation system is deficient and etc. The application of the model exists: ignore the periodicity of the model; ignore the impact of the environment on the animal model; toxicological research has the problem that normal animals are not suitable for TCM toxicology research. This paper proposes from six aspects: construct the animal model that conforms to the constitution of diseased population; expand the scope of use of the disease and syndrome combined animal model; use the theory of traditional Chinese medicine of “five transports and six qi”, “streamer midnight-midday ebb flow”, “seven emotions”, and “six kinky” climate box, and combined with “four diagnosis information” to solve the problem of weak correlation between diseases and syndromes; using “syndrome” index + “disease” indicators to improve the model evaluation criterion from four diagnostic information, biochemical indicators, molecular biology, and etc. Pay attention to the periodicity of the model, and pay particular attention to the influence of the environment on the formation of the animal model syndrome; In the toxicology research, the model animal should be used instead of the normal animal application, and the dosage of the traditional Chinese medicine should be adjusted to improve the efficacy of traditional Chinese medicine. Through the improvement of the above problems, it is expected to provide relevant reference for the improvement of the animal model of Chinese medicine and its correct application.