It is assumed that the database contains the predictor variables but is missing the response variable, and that the purpose is to fit a logistic regression model after the response is obtained via the experiment. Active learning methods, which treat a similar problem, usually select records ...
Hsieh FY. Sample size for logistic regression. Statistics Med 1989;8:79%302.Hsieh, F. Y.`Sample size for logistic regression', Statistics in Medicine, 8, 795-802 (1989).Hsieh, F.Y. (1989) Sample size for logistic...
258 sample data, application spss17.0 to statistical software binary logistic regression processing. 翻译结果2复制译文编辑译文朗读译文返回顶部 正在翻译,请等待... 翻译结果3复制译文编辑译文朗读译文返回顶部 This application SPSS17.0 software 258 sample data for binary Logistic regression. ...
A sample size calculation for logistic regression involves complicated formulae. This paper suggests use of sample size formulae for comparing means or for comparing proportions in order to calculate the required sample size for a simple logistic regression model. One can then adjust the required sam...
They reported an average bias less than 0.05% for the fixed parameter estimates, intercept and the regression slopes. Our simulations show that the overall biases for the fixed effect parameters γ 00, γ 01, γ 10, and γ 11 were 0.6%, 2.6%, 1.4%, and 3.7% respectively (data not ...
Examples of regression data and analysisThe Excel files whose links are given below provide examples of linear and logistic regression analysis illustrated with RegressIt. Most of them include detailed notes that explain the analysis and are useful for teaching purposes. Links for examples of analysis...
有时我们在实际分类数据挖掘中经常会遇到,类别样本很不均衡,直接使用这种不均衡数据会影响一些模型的分类效果,如logistic regression,SVM等,一种解决办法就是对数据进行均衡采样,这里就提供了一个建议代码实现,要求输入和输出数据格式为Label+Tab+Features, 如Libsvm format 1 2 3 4 -1 1:0.875 2:-1 3:-0.33333...
Testing linear hypotheses in logistic regression analysis with complex sample survey data based on phi-divergence measuresA new family of minimum distance estimators for binary logistic regression models based on \\phi -divergence measures is introduced. The so called "pseudo minimum phi-divergence ...
Results: Applying ordinary logistic regression, an appropriate model we fitted to the initial data. Then confidence intervals and standard errors were computed for all regression coefficients. There are many situations where the sample size is insufficient and conditions for using ordinary logistic ...
sample survey datapseudo maximum likelihood estimatorpseudo minimum phi-divergence estimatorsWald-type testsIn this paper a family of Wald-type test statistics for linear hypotheses in the logistic regression model with complex sample survey data is introduced and its properties are explored. The family...