| Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations M Takahashi Data Science Journal 16 (37), 1-17, 2017 | 69 | 2017 |
| 欠測データ処理: Rによる単一代入法と多重代入法 高橋将宜， 渡辺美智子 共立出版, 2017 | 32* | 2017 |
| 統計的因果推論の理論と実装：潜在的結果変数と欠測データ 高橋将宜 共立出版, 2022 | 18* | 2022 |
| Multiple imputation of missing values in economic surveys: Comparison of competing algorithms M Takahashi, T Ito Proceedings of The 59th World Statistics Congress of the International …, 2013 | 16 | 2013 |
| Multiple Ratio Imputation by the EMB Algorithm: Theory and Simulation M Takahashi Journal of Modern Applied Statistical Methods 16 (1), 630-656, 2017 | 15 | 2017 |
| 様々な多重代入法アルゴリズムの比較～大規模経済系データを用いた分析～ 高橋将宜, 伊藤孝之 統計研究彙報 71 (3), 39-82, 2014 | 15* | 2014 |
| Multiple Imputation of Turnover in EDINET Data: Toward the Improvement of Imputation for the Economic Census M Takahashi, T Ito Work Session on Statistical Data Editing, UNECE, 24-26, 2012 | 15 | 2012 |
| Imputing the Mean of a Heteroskedastic Log-Normal Missing Variable: A Unified Approach to Ratio Imputation M Takahashi, M Iwasaki, H Tsubaki Statistical Journal of the IAOS 33 (3), 763-776, 2017 | 14 | 2017 |
| JMASM44: Implementing Multiple Ratio Imputation by the EMB Algorithm (R) M Takahashi Journal of Modern Applied Statistical Methods 16 (1), 657-673, 2017 | 7 | 2017 |
| 諸外国の公的統計における欠測値の対処法：集計値ベースと公開型ミクロデータの代入法 高橋将宜 統計学 112, 65-83, 2017 | 6* | 2017 |
| 経済調査における売上高の欠測値補定方法について～多重代入法による精度の評価～ 高橋将宜, 伊藤孝之 統計研究彙報 70 (2), 19-86, 2013 | 4* | 2013 |
| Data imputation in deep neural network to enhance breast cancer detection K Ganesan, S Pichai, MS Kavitha, M Takahashi International Journal of Imaging Systems and Technology, 2022 | 3 | 2022 |
| Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff M Takahashi Communications in Statistics - Simulation and Computation, 2021 | 3 | 2021 |
| A New Robust Ratio Estimator by Modified Cook’s Distance for Missing Data Imputation M Takahashi Japanese Journal of Statistics and Data Science, 2022 | 2 | 2022 |
| 公的統計における欠測値補定の研究：多重代入法と単一代入法 高橋将宜, 阿部穂日, 野呂竜夫 製表技術参考資料 30, 1-95, 2015 | 2* | 2015 |
| 多重代入法による匿名データの解析特性の改善について― 全国消費実態調査を例に ― 高橋将宜 統計学, 15-29, 2018 | 1 | 2018 |
| Diagnosing the Imputation of Missing Values in Official Economic Statistics via Multiple Imputation: Unveiling the Invisible Missing Values M Takahashi International Association for Official Statistics (IAOS) Conference 2014, 2014 | 1 | 2014 |
| An Assessment of Automatic Editing via the Contamination Model and Multiple Imputation M Takahashi Work Session on Statistical Data Editing, UNECE, 1-10, 2014 | 1 | 2014 |
| 多重代入法による欠測データの統計解析入門 高橋将宜 社会と調査, 98-106, 2023 | | 2023 |
| Association between COVID-19 emergency declarations and physical activity among community-dwelling older adults enrolled in a physical activity measurement program: Evidence … I Chiba, M Takahashi, S Lee, S Bae, K Makino, O Katayama, K Harada, ... BMC Public Health 23 (998), 1-12, 2023 | | 2023 |
