不是ppt，是课件内容。主要介绍缺失数据的产生和影响，以及处理的各种统计方法，比如EM算法，MCMC方法以及Gibbs抽样，还有bayes方法等。以及关于缺失数据的MLE估计等等。抽取其中两节内容看看先。
Maximum Likelihood and The EM Algorithm Review of Maximum Likelihood MLEs With Missing Data Likelihood (MAR & MCAR) MLEs - Monotone Pattern Contingency Table Data The EM Algorithm The exponential family - Multiple Imputation: Complements
- How Many imputations?
- Steps in Multiple Imputation
- Assumptions to Generate Imputations
- Imputations Methods in SAS
- Propensity Score Method
- Predictive Mean Matching
- Producing Monotone Missingness with the MCMC Method
- Combining Inferences from Imputed Data Sets
- Missing Information
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