Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

@en

Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

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P1476

Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods.

@en

P2093

Daniel J Feaster

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Min Lu

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Saad Sadiq

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P2860

Random Forests

Estimating causal effects of treatments in randomized and nonrandomized studies.

Effect of risk-reduction counseling with rapid HIV testing on risk of acquiring sexually transmitted infections: the AWARE randomized clinical trial.

Risk estimation using probability machines.

Improving propensity score weighting using machine learning.

Subgroup identification from randomized clinical trial data.

Synthetic learning machines.

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study.

Self-Reported HIV and HCV Screening Rates and Serostatus Among Substance Abuse Treatment Patients.

Identification of predicted individual treatment effects in randomized clinical trials.

P304

209-219

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P31

scholarly article

P356

10.1080/10618600.2017.1356325

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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P50

Hemant Ishwaran

P577

2018-02-01T00:00:00Z

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P698

29706752

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P921

random forest

P932

5920646

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