在上一期，我们已经讲完了单因素二元logistic回归分析，这期开始讲多因素二元logistic回归分析，我们主要从logistic回归分析介绍、二元logistic回归分析的使用条件及案例的SPSS操作演示这几方面进行讲解。 logistic回归分析介绍 根据因变量的不同，可将Logistic回归 ...

In epidemiological studies, continuous covariates often are measured with error and categorical covariates often are misclassified. Using the logistic regression ...

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...