Research Profile
Publications
Selected Publications and Presentations
- 2026Conference presentation Shigetoshi Hosaka and Jinfang Wang. Gamma-GT and type 2 diabetes incidence: A target trial emulation using health checkup data. 12th Meeting on Liver and Diabetes/Metabolism, Niigata, P1-1.
- 2025Conference abstract Shigetoshi Hosaka and Jinfang Wang. Predictive clustering of type 2 diabetes phenotypes for targeted risk management using health checkup data. Diabetes 74(Suppl. 1):1359-P. DOI
- 2024Journal article Akiyoshi Sutou and Jinfang Wang. Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions. IEEE Access 12:193473-193486. DOI
- 2024Conference paper Akiyoshi Sutou and Jinfang Wang. SIRSYN: Improved synthetic sampling for imbalanced data using SIR. 2024 IEEE International Conference on Knowledge Graph, 342-351. DOI
- 2023Conference presentation Jinfang Wang and Shigetoshi Hosaka. Health Improvement Strategies and Causal Effects Based on Health Checkup Data. IASC-ARS 2023, Macquarie University, NSW, Australia, 6-8 December 2023. Program
- 2022Book Masataka Taguri and Jinfang Wang. Foundations of Data Science (IT Text). Ohmsha. In Japanese. ISBN 978-4-274-22914-5. Publisher
- 2020Book Jinfang Wang, Yoko Ono, Kazuyuki Koizumi, Masataka Taguri, Takahiro Tsuchiya, and Shinya Fujita. University Statistics: Overcoming Weak Points. Tokyo Tosho. In Japanese. ISBN 978-4-489-02337-8. Publisher
- 2017Journal article Saeki, Tango, and Wang. Statistical inference for noninferiority of a diagnostic procedure to multiple comparators with an application to noninferiority of automated breast density measurements. Journal of Biopharmaceutical Statistics 27(1):70-83. DOI
- 2016Journal article Saeki, Tango, and Wang. Estimating diagnostic accuracy based on multiple raters using a random-effects model. Japanese Journal of Biometrics 37(1):23-44. DOI
- 2016Book Jinfang Wang. Generalized Linear Models. Asakura Publishing. In Japanese. ISBN 978-4-254-12860-4.
- 2014Journal article Jinfang Wang. Statistical disclosure control using the epsilon-uncertainty intervals and the grouped likelihood method. Keizaikei 258:37-47. Record
- 2014Proceedings Saeki, Tango, and Wang. Estimating the accuracy of diagnostic imaging based on multiple raters using a random-effects model. RIMS Kokyuroku 1910:1-19. Record
- 2014Proceedings Yiping Tang and Jinfang Wang. Model selection based on quasi-likelihood with application to overdispersed data. RIMS Kokyuroku 1910:20-28. Record
- 2013Conference paper Jinfang Wang and Yiping Tang. Model selection for semiparametric Bayesian models with application to overdispersion. Proceedings of the 59th ISI World Statistics Congress.
- 2011Journal article Yamaguchi et al., including Jinfang Wang. Structome of Saccharomyces cerevisiae determined by freeze-substitution electron microscopy. Microscopy 60(5):321-335. DOI
- 2011Journal article Ping Jing, Liang Zhang, Yiping Tang, and Jinfang Wang. Subclassification matching method for average treatment effect and a numerical comparison of related methods. Journal of the Japanese Society of Computational Statistics 24(1):67-84. DOI
- 2011Journal article Jinfang Wang. Computation of conditional independence using Cain polynomials. Far East Journal of Theoretical Statistics 34:41-72.
- 2011Book Jinfang Wang and Hirohito Sakurai. Introduction to the Bootstrap. Kyoritsu Shuppan. In Japanese. ISBN 978-4-320-11013-7.
- 2011Reference contribution Jinfang Wang. Jackknife method. In Encyclopedia of Applied Statistics, 114-115. Maruzen. In Japanese.
- 2010Journal article Jinfang Wang. A universal algebraic approach for conditional independence. Annals of the Institute of Statistical Mathematics 62(4):747-773. DOI
- 2010Proceedings Jinfang Wang. Rubin's model for causal inference: A review. RIMS Kokyuroku 1703:138-150. Record
- 2009Journal article Jinfang Wang and Ping Jing. Statistical matching based on probabilistic conditional independence. Journal of the Japanese Society of Computational Statistics 22(1):43-56. DOI
- 2009Reference contribution Jinfang Wang. Sampling theory. In Dictionary of Mathematical Sciences, 2nd ed. Maruzen. In Japanese.
- 2008Journal article Katsuyama, Nishigaki, and Wang. The effectiveness of English teaching in Japanese elementary schools: Measured by proficiency tests administered to seventh-year students. RELC Journal 39(3):359-380. DOI
- 2008Proceedings Jinfang Wang. Computation of conditional independence using Cain polynomials. RIMS Kokyuroku 1603:120-129. Record
- 2007Proceedings Jinfang Wang. The Cain algebra, the semigraphoid and the separoid. RIMS Kokyuroku 1560:145-154. Record
- 2006Journal article Jinfang Wang and N. Taneichi. Normalizing unbiased estimating functions. Journal of Statistical Planning and Inference 136(3):689-704. DOI
- 2006Journal article Jinfang Wang. Quadratic artificial likelihood functions using estimating functions. Scandinavian Journal of Statistics 33(2):379-390. DOI
- 2006Journal article Ping Jing and Jinfang Wang. Testing equality of two high-dimensional means using random subspaces. Communications in Statistics - Simulation and Computation 35(4):661-670. DOI
- 2006Journal article Katsuyama, Nishigaki, and Wang. The effectiveness of English education in Japanese elementary schools. KATE Bulletin 20:113-124. DOI
- 2006Proceedings Jinfang Wang. The coin algebra for conditional independence. RIMS Kokyuroku 1506:177-196. Record
- 2006Conference paper Jinfang Wang. Bayesian generalized linear models using marginal likelihoods. COMPSTAT 2006, 1049-1056.
- 2005Book chapter Jinfang Wang. Computational statistics. In Statistics and Its Applications. University of the Air. In Japanese.
- 2004Journal article Ohuchida, Taneichi, and Wang. Approximation of hypergeometric distributions based on normalizing transformations. Bulletin of the Computational Statistics of Japan 16(2):125-131. DOI
- 2003Book Christopher G. Small and Jinfang Wang. Numerical Methods for Nonlinear Estimating Equations. Oxford University Press. DOI
- 2003Book Jinfang Wang et al. New Methods in Probability Computation (Computational Statistics I). Iwanami Shoten. In Japanese. ISBN 4-00-006851-2.
- 2002Book chapter Jinfang Wang. Statistical disclosure control based on random uncertainty intervals. In Enabling Society with Information Technology, 244-253. DOI
- 2001Proceedings Jinfang Wang. Approximate likelihood functions for estimating functions with application to root selection. RIMS Kokyuroku 1224:90-113. Record
- 2000Journal article Christopher G. Small, Jinfang Wang, and Zhigang Yang. Eliminating multiple root problems in estimation. Statistical Science 15(4):313-341. DOI
- 1999Journal article Jinfang Wang. Nonconservative estimating functions and approximate quasi-likelihoods. Annals of the Institute of Statistical Mathematics 51(4):603-619. DOI
- 1999Journal article Jinfang Wang. Construction of quasi-likelihood and application to nonlinear regression models. Proceedings of the Institute of Statistical Mathematics 47(1):49-61. Record
- 1998Journal article Jinfang Wang and Masataka Taguri. Improved bootstrap through modified resample size. Journal of the Japan Statistical Society 28(2):181-192. DOI
- 1996Journal article Jinfang Wang and Masataka Taguri. Jackknifing: Higher order accurate confidence intervals. Journal of the Japan Statistical Society 26(1):69-82. DOI
- 1996Journal article Jinfang Wang and Masataka Taguri. Bootstrap method: An introduction from a two sample problem. Proceedings of the Institute of Statistical Mathematics 44(1):3-18. Full text
- 1995Proceedings Jinfang Wang and Masataka Taguri. Bootstrap t-test in the two-sample problem. RIMS Kokyuroku 916:1-11. Record
- 1994Proceedings Jinfang Wang. Jackknife methods and higher order asymptotic expansions. RIMS Kokyuroku 879:120-144. Record
- 1994Journal article Jinfang Wang, Masataka Taguri, and S. Ohuchi. Jackknife-t estimation of coefficient of variation and its numerical examination. Bulletin of the Computational Statistics of Japan 7(1):57-72. DOI
- 1992Journal article Jinfang Wang et al. Bootstrap method: Recent developments and future perspectives. Japanese Journal of Behaviormetrics 19(2):50-81. DOI
Funding
KAKENHI Projects (PI)
- 2019-2023Scientific Research (B) Statistical Inference Based on Real-World-Data. KAKEN
- 2016-2018Challenging Exploratory Research Formalization and automation for statistical causal inference. KAKEN
- 2013-2016Scientific Research (C) Information criteria based on quasi-likelihood with applications to overdispersion. KAKEN
- 2010-2012Scientific Research (C) Construction of a new algebraic statistical theory for statistical causal inference. KAKEN
- 2007-2009Scientific Research (B) A unified study on brain connectivity using statistical methods. KAKEN
- 2003-2005Scientific Research (C) Robust semiparametric model selection using estimating functions. KAKEN
- 2000-2001Encouragement of Young Scientists (A) Construction of quasi-likelihood inference for semiparametric statistical inference. KAKEN
- 1997-1998Encouragement of Young Scientists (A) Construction of quasi-likelihood and its applications in statistics. KAKEN
- 1995Encouragement of Young Scientists (A) Extracting empirical sufficiency in resampling methods. KAKEN