Researching results using T-test、linear correlation analysis and conditional Logistic regression were analyzed statistically. Results:1.
研究结果采用配对t检验、直线相关及条件logistic回归进行统计学分析。
参考来源 - 单纯性肥胖儿童膳食调查及病因和慢病潜在危险因素研究Data processing and statistical methodsInfruence factors were expored by conditional logistic regression .
资料处理与统计方法以条件logistic回归分析法进行统计分析,探索壮族地区儿童虐待的影响因素。
参考来源 - 广西壮族地区中小学生儿童虐待状况及影响因素的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The data were analysed using conditional logistic regression.
使用条件逻辑回归对数据进行分析。
Results Univariable Conditional Logistic Regression produces 21 significant risk factors, 7 main risk factors are finally filtered out by multivariable Conditional Logistic Regression.
结果单因素分析筛选出21个统计意义的可疑因素，多因素逐步回归共筛选出7个主要的危险因素。
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。
应用推荐