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周 怡大学院人間発達環境学研究科 人間環境学専攻助教
研究活動情報
■ 論文- Elsevier BV, 2025年09月, SoftwareX, 32, 102352 - 102352[査読有り]研究論文（学術雑誌）
- Springer Science and Business Media LLC, 2025年05月, BMC Public Health, 25(1) (1)研究論文（学術雑誌）
- Abstract In prognosis studies with time-to-event outcomes, the survivals of groups with high/low biomarker expression are often estimated by the Kaplan–Meier method, and the difference between groups is measured by the hazard ratios (HRs). Since the high/low expressions are usually determined by study-specific cutoff values, synthesizing only HRs for summarizing the prognostic capacity of a biomarker brings heterogeneity in the meta-analysis. The time-dependent summary receiver operating characteristics (SROC) curve was proposed as a cutoff-free summary of the prognostic capacity, extended from the SROC curve in meta-analysis of diagnostic studies. However, estimates of the time-dependent SROC curve may be threatened by reporting bias in that studies with significant outcomes, such as HRs, are more likely to be published and selected in meta-analyses. Under this conjecture, this paper proposes a sensitivity analysis method for quantifying and adjusting reporting bias on the time-dependent SROC curve. We model the publication process determined by the significance of the HRs and introduce a sensitivity analysis method based on the conditional likelihood constrained by some expected proportions of published studies. Simulation studies showed that the proposed method could reduce reporting bias given the correctly-specified marginal selection probability. The proposed method is illustrated on the real-world meta-analysis of Ki67 for breast cancer.Cambridge University Press (CUP), 2025年03月, Research Synthesis Methods, 1 - 22[査読有り]研究論文（学術雑誌）
- 2025年02月, Statistics in Medicine[査読有り]研究論文（学術雑誌）
- Cambridge University Press (CUP), 2024年11月, Acta Neuropsychiatrica, 36(6) (6), 423 - 437研究論文（学術雑誌）
- 2024年07月, Biometrics[査読有り]研究論文（学術雑誌）
- ABSTRACT The summary receiver operating characteristic (SROC) curve has been recommended as one important meta-analytical summary to represent the accuracy of a diagnostic test in the presence of heterogeneous cutoff values. However, selective publication of diagnostic studies for meta-analysis can induce publication bias (PB) on the estimate of the SROC curve. Several sensitivity analysis methods have been developed to quantify PB on the SROC curve, and all these methods utilize parametric selection functions to model the selective publication mechanism. The main contribution of this article is to propose a new sensitivity analysis approach that derives the worst-case bounds for the SROC curve by adopting nonparametric selection functions under minimal assumptions. The estimation procedures of the worst-case bounds use the Monte Carlo method to approximate the bias on the SROC curves along with the corresponding area under the curves, and then the maximum and minimum values of PB under a range of marginal selection probabilities are optimized by nonlinear programming. We apply the proposed method to real-world meta-analyses to show that the worst-case bounds of the SROC curves can provide useful insights for discussing the robustness of meta-analytical findings on diagnostic test accuracy.Oxford University Press (OUP), 2024年07月, Biometrics, 80(3) (3)[査読有り]研究論文（学術雑誌）
- 2023年12月, BMC Bioinform., 24(1) (1), 139 - 139研究論文（学術雑誌）
- 2023年08月, Research Synthesis Methods, 14(6) (6), 916 - 925[査読有り]研究論文（学術雑誌）
- Wiley, 2022年12月, Statistics in Medicine, 42(6) (6), 781 - 798[査読有り]研究論文（学術雑誌）
- Informa UK Limited, 2022年06月, Ocular Immunology and Inflammation, 1 - 11研究論文（学術雑誌）
- 2022年06月, International Journal of Clinical Pharmacy, 英語[査読有り]研究論文（学術雑誌）
- Springer Science and Business Media Deutschland GmbH, 2021年10月, Naunyn-Schmiedeberg's Archives of Pharmacology, 394(10) (10), 2141, 英語研究論文（学術雑誌）
- Springer Science and Business Media LLC, 2021年10月, Naunyn-Schmiedeberg's Archives of Pharmacology, 394(10) (10), 2091 - 2101研究論文（学術雑誌）
- Springer Science and Business Media LLC, 2020年12月, BMC Bioinformatics, 21(1) (1), 英語
Abstract Background Even though R is one of the most commonly used statistical computing environments, it lacks a graphical user interface (GUI) that appeals to students, researchers, lecturers, and practitioners in medicine and pharmacy for conducting standard data analytics. Current GUIs built on top of R, such as EZR and R-Commander, aim to facilitate R coding and visualization, but most of the functionalities are still accessed through a command-line interface (CLI). To assist practitioners of medicine and pharmacy and researchers to run most routines in fundamental statistical analysis, we developed an interactive GUI; i.e., MEPHAS, to support various web-based systems that are accessible from laptops, workstations, or tablets, under Windows, macOS (and IOS), or Linux. In addition to fundamental statistical analysis, advanced statistics such as the extended Cox regression and dimensional analyses including partial least squares regression (PLS-R) and sparse partial least squares regression (SPLS-R), are also available in MEPHAS.Results MEPHAS is a web-based GUI (https://alain003.phs.osaka-u.ac.jp/mephas/ ) that is based on ashiny framework. We also created the corresponding R packagemephas (https://mephas.github.io/ ). Thus far, MEPHAS has supported four categories of statistics, including probability, hypothesis testing, regression models, and dimensional analyses. Instructions and help menus were accessible during the entire analytical process via the web-based GUI, particularly advanced dimensional data analysis that required much explanation. The GUI was designed to be intuitive for non-technical users to perform various statistical functions, e.g., managing data, customizing plots, setting parameters, and monitoring real-time results, without any R coding from users. All generated graphs can be saved to local machines, and tables can be downloaded as CSV files.Conclusion MEPHAS is a free and open-source web-interactive GUI that was designed to support statistical data analyses and prediction for medical and pharmaceutical practitioners and researchers. It enables various medical and pharmaceutical statistical analyses through interactive parameter settings and dynamic visualization of the results.研究論文（学術雑誌） - Pharmaceutical Society of Japan, 2020年07月, Biological and Pharmaceutical Bulletin, 43(7) (7), 1061 - 1066, 英語研究論文（学術雑誌）
- 2020年02月, Medicine, 99(9) (9), e19357 - e19357[査読有り]研究論文（学術雑誌）
- The coronavirus disease (COVID-19) pandemic has greatly altered peoples' daily lives, and it continues spreading as a crucial concern globally. Knowledge, attitudes, and practices (KAP) toward COVID-19 are related to individuals' adherence to government measures. This study evaluated KAP toward COVID-19 among university students in Japan between May 22 and July 16, 2020, via an online questionnaire, and it further investigated the associated determining KAP factors. Among the eligible respondents (n = 362), 52.8% were female, 79.0% were undergraduate students, 32.9% were students whose major university subjects were biology-related, 35.4% were from the capital region, and 83.7% were Japanese. The overall KAP of university students in Japan was high. All respondents (100%) showed they possessed knowledge on avoiding enclosed spaces, crowded areas, and close situations. Most respondents showed a moderate or higher frequency of washing their hands or wearing masks (both at 96.4%). In addition, 68.5% of respondents showed a positive attitude toward early drug administration. In the logistic regressions, gender, major subjects, education level, nationality, residence, and psychological factors (private self-consciousness and extroversion) were associated with knowledge or attitudes toward COVD-19 (p < 0.05). In the logistic and multiple linear regressions, capital regions, high basic knowledge, high information acquisition, correct information explanations contributed positively to preventative action (p < 0.05). Non-capital regions, male gender, non-bio-backgrounds, high public self-consciousness, high advanced knowledge, incorrect information explanations, and high extroversion contributed negatively to self-restraint (p < 0.05). Moreover, self-restraint was decreasing over time. These findings clarify the Japanese university students' KAP and the related factors in the early period of the COVID-19 pandemic, and they may help university managers, experts, and policymakers control the future spread of COVID-19 and other emerging infections.Public Library of Science ({PLoS}), 2020年, PloS one, 15(12) (12), e0244350, 英語, 国際誌研究論文（学術雑誌）
- Ovid Technologies (Wolters Kluwer Health), 2019年03月, Journal of the American Heart Association, 8(5) (5), 英語[査読有り]研究論文（学術雑誌）
- 2019年02月, Medicine, 98(8) (8), e14381 - e14381[査読有り]研究論文（学術雑誌）
- (公社)日本薬学会, 2018年03月, 日本薬学会年会要旨集, 138年会(4) (4), 54 - 54, 日本語セレギリン、ラサギリン類のシグナル検出による副作用比較
- Pharmaceutical Society of Japan, 2018年, Chemical and Pharmaceutical Bulletin (Web), 66(3) (3), 191 - 206, 英語, 国内誌[査読有り]
- 2014年04月, BMJ Open, 4(4) (4), e004619 - e004619, 英語, 国際誌[査読有り]研究論文（学術雑誌）
- 2013年11月, Systematic Reviews, 2(1) (1), 英語, 国際誌[査読有り]研究論文（学術雑誌）
■ 書籍等出版物
- Springer, 2016年, 英語, ISBN: 9783319406411The multiple facets of partial least squares and related methods : PLS, Paris, France, 2014
- 2025年度統計関連学会連合大会, 2025年09月, 日本語時間依存要約受信者動作特性曲線における公表バイアスの感度分析口頭発表（一般）
- 2025年度日本計量生物学会, 2025年05月, 日本語要約受信者動作特性曲線における公表バイアスの上限評価口頭発表（一般）
- 2023年度統計関連学会連合大会, 2023年09月A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints口頭発表（一般）
- 2021年度統計関連学会連合大会, 2021年09月, 英語A likelihood‐based sensitivity analysis for publication bias on summary ROC in meta‐analysis of diagnostic test accuracy口頭発表（一般）
- 9th International Conference on PLS and Related Methods, 2017年06月, 英語Comparison of sparse partial least squares methods on selecting molecular descriptors of hydrolysable ester口頭発表（一般）
■ Works_作品等
- 2025年09月 - 現在, 国際共著しているCSTEapp: the covariate-specific treatment effect curve for visualizing individualized treatment rule
- 2023年08月 - 現在, 国際共著しているDTAmetasa: Sensitivity analysis for publication bias in meta-analysis of diagnostic test accuracy
- 2020年05月 - 現在, 国際共著しているMEPHAS: MEdical and PHarmaceutical Statistics
- 2025年10月tteICE: An R Package for Estimating Treatment Effects on Time-to-Event Outcomes with Intercurrent Events
- 日本学術振興会, 科学研究費助成事業, 2025年04月 - 2029年03月, 研究分担者医学研究に現れる欠測データ解析に対する感度解析法
- 神戸大学人間発達環境学研究科, 2025年06月 - 2026年03月, 研究代表者2025 年度人間発達環境学研究科 研究推進支援経費
- 2020年04月 - 2021年02月, 研究代表者笹川科学研究助成