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The logistic regression model with response variables subject to randomized response

机译：具有响应变量的逻辑回归模型受随机响应的影响

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Van den Hout, A.D.L.; Van der Heijden, P.G.M.; Gilchrist, R.;
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年度 2007
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1. The logistic regression model with response variables subject to randomized response [J] . Ardo van den Hout, Peter G.M. van der Heijden, Robert Gilchrist Computational statistics & data analysis . 2007,第12期

机译：响应变量服从随机响应的逻辑回归模型
2. Comparing a multivariate response Bayesian random effects logistic regression model with a latent variable item response theory model for provider profiling on multiple binary indicators simultaneously [J] . Austin Peter C., Lee Douglas S., Leckie George Statistics in medicine . 2020,第9期

机译：将多元响应贝叶斯随机效应逻辑回归模型与潜在的变量响应理论模型同时在多个二进制指标上的提供商分析
3. Utilizing Covariates by Logistic Regression Modelling in Improved Estimation of Population Proportions Bearing Stigmatizing Features through Randomized Responses in Complex Surveys [J] . Arijit Chaudhuri, Amitava Saha Journal of the Indian Society of Agricultural Statistics . 2004,第2期

机译：通过复杂调查中的随机响应改善了逻辑回归建模的逻辑回归建模估算的逻辑回归模型
4. Logistic Regression with Variables Subject to Post Randomization Method [C] . Yong Ming Jeffrey Woo, Aleksandra B. Slavkovic Privacy in statistical databases . 2012

机译：具有后随机方法的变量的Logistic回归
5. Logistic regression and item response theory: Estimation item and ability parameters by using logistic regression in IRT [D] . Engec, Necati. 1998

机译：Logistic回归和项目响应理论：IRT中使用Logistic回归估算项目和能力参数
6. An alternative to unrelated randomized response techniques with logistic regression analysis [O] . Shu-Hui Hsieh, Shen-Ming Lee, Chin-Shang Li, -1

机译：具有逻辑回归分析的不相关随机响应技术的替代方法
7. Comparing a multivariate response Bayesian random effects logistic regression model with a latent variable item response theory model for provider profiling on multiple binary indicators simultaneously [O] . Peter C. Austin, Douglas S. Lee, George Leckie 2020

机译：比较多元响应贝叶斯随机效应逻辑回归模型与潜在的变量项目响应理论模型同时在多个二进制指标上的提供商分析
8. Parametric and Nonparametric (MARS; Multivariate Additive Regression Splines)Logistic Regressions for Prediction of a Dichotomous Response Variable with an Example for Presence/Absence of an Amphibian [R] . Nash, M. S., Bradford, D. 2001

机译：参数和非参数（maRs;多元加法回归样条）用于预测二分类响应变量的Logistic回归，以及两栖动物存在/不存在的示例

The logistic regression model with response variables subject to randomized response

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