Hideki Fukui
Biographic Data
| ID | 5104105 |
|---|---|
| NAME | Hideki Fukui |
| GIVEN NAMES | Hideki |
| FAMILY NAME | Fukui |
| SIGNATURE | FUKUI H |
| AFFILIATIONS | Ehime University |
| ORCID | 0000-0003-1209-3059 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Evaluating Different Covariate Balancing Methods
We investigate the effectiveness of five weighting and matching techniques, including propensity score matching (PSM), in improving covariate balance and reducing bias when estimating treatment effects in finite-sample situations through Monte Carlo simulations. King and Nielsen (2019. “Why Propensity Scores Should Not Be Used for Matching.” Political Analysis 27 (4): 435–54) argue that pruning observations based on PSM with 1-to-1 greedy matchin…
Evaluating Different Covariate Balancing Methods
We investigate the effectiveness of five weighting and matching techniques, including propensity score matching (PSM), in improving covariate balance and reducing bias when estimating treatment effects in finite-sample situations through Monte Carlo simulations. King and Nielsen (2019. “Why Propensity Scores Should Not Be Used for Matching.” Political Analysis 27 (4): 435–54) argue that pruning observations based on PSM with 1-to-1 greedy matchin…
Evaluating Different Covariate Balancing Methods
We investigate the effectiveness of five weighting and matching techniques, including propensity score matching (PSM), in improving covariate balance and reducing bias when estimating treatment effects in finite-sample situations through Monte Carlo simulations. King and Nielsen (2019. “Why Propensity Scores Should Not Be Used for Matching.” Political Analysis 27 (4): 435–54) argue that pruning observations based on PSM with 1-to-1 greedy matchin…
Advanced Causal Inference Techniques (1 work) · Computer Science (1 work) · Covariate (1 work) · Econometrics (1 work) · Estimator (1 work) · Mahalanobis distance (1 work) · Markov chain Monte Carlo (1 work) · Matching (statistics (1 work) · Mathematics (1 work) · Medicine (1 work)