Targeted learning causal inference for observational and experimental data
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can...
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| Format: | Electronic Resource |
| Language: | English |
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New York, NY
Springer New York
2011.
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| Series: | Springer series in statistics
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| Online Access: | Available for University of the Philippines Diliman via SpringerLink. Click here to access |