TY  - JOUR
AU  - Luque-Fernandez, Miguel Angel
AU  - Schomaker, Michael
AU  - Rachet, Bernard
AU  - Schnitzer, Mireille E
PY  - 2018
DO  - 10.1002/sim.7628
UR  - http://hdl.handle.net/10668/12381
T2  - Statistics in medicine
AB  - When estimating the average effect of a binary treatment (or exposure) on an outcome, methods that incorporate propensity scores, the G-formula, or targeted maximum likelihood estimation (TMLE) are preferred over naïve regression approaches, which are...
LA  - en
PB  - John Wiley & Sons Ltd.
KW  - causal inference
KW  - ensemble Learning
KW  - machine learning
KW  - observational studies
KW  - targeted maximum likelihood estimation
KW  - Algorithms
KW  - Computer Simulation
KW  - Data Interpretation, Statistical
KW  - Epidemiologic Methods
KW  - Humans
KW  - Likelihood Functions
KW  - Machine Learning
KW  - Neoplasms
KW  - Propensity Score
TI  - Targeted maximum likelihood estimation for a binary treatment: A tutorial.
TY  - research article
VL  - 37
ER  -