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Takehiro Shoji

1 paper hereh-index 2126 citations2 works total

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stat.ME2024

Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects

Takehiro Shoji, Jun Tsuchida, Hiroshi Yadohisa

When using the propensity score method to estimate the treatment effects, it is important to select the covariates to be included in the propensity score model. The inclusion of co…

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