| Autor: |
Jian-Qing, Qiu, Yu-Qiu, Zhou, Ting-Yan, Yue, Jiao, Pei, Chun-Yan, Shui, Xiao-Song, Li, Tao, Zhang |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition. 49(3) |
| ISSN: |
1672-173X |
| Popis: |
To compare the effect of different approaches of missing data replacement on the regression coefficient estimatesData were extracted from the medical records of patients with head and neck neoplasms who were admitted to Sichuan Cancer Hospital. R 3.4.1 was used for generating and processing simulated datasets. Various scenarios were established by setting up different proportions of missing data and missing mechanisms using Monte Carlo method. Three strategies were tested for replacing missing data: Complete Case method,Expectation Maximization (EM),and Markov Chain Monte Carlo method (MCMC). The regression coefficient estimatesThe three replacement methods were all acceptable (within the limitMissing data replacement should consider the proportion of missing data and potential mechanisms involved. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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