Sample size estimation with missing values on clinical trials
Missing data is a common problem that with extremely damaging inferences from clinical trials. This unavoidable defect is mainly due to human factors, the patient being unable to follow up and some types of observations going missing (Piantadosi, 2005). An example would be the patient refuses to und...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2019
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| Online Access: | https://hdl.handle.net/10356/136483 |