Forskarpresentation
Xiaoqin Wang
Universitetslektor
Forskningsämne: Matematik
E-post: xiaoqin.wang@hig.se
Telefon: 026-64 87 89
AKTUELL FORSKNING
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Artiklar
Vetenskapliga artiklar, refereegranskade
Yin, L. & Wang, X. (2024). Estimating and testing sequential causal effects based on alternative G-formula: an observational study of the influence of early diagnosis on survival of cardia cancer. Communications in statistics. Simulation and computation, 53 (4), 1917-1931. 10.1080/03610918.2022.2060511
[Mer information]
Lan, Y., Yin, L. & Wang, X. (2022). Dynamics of COVID-19 progression and the long-term influences of measures on pandemic outcomes. Emerging Themes in Epidemiology, 19. 10.1186/s12982-022-00119-6
[Mer information]
Wang, X., Blom, J., Ye, W. & Yin, L. (2022). Estimating and testing the influence of early diagnosis on cancer survival via point effects of diagnoses and treatments. Statistical Methods in Medical Research, 31 (8), 1538-1548. 10.1177/09622802221098429
[Mer information]
Wang, X., Wallentin, F. & Yin, L. (2022). The statistical evidence missing from the Swedish decision-making of COVID-19 strategy during the early period: A longitudinal observational analysis. SSM - Population Health, 18. 10.1016/j.ssmph.2022.101083
[Mer information]
Wang, X. & Yin, L. (2020). New g-formula for the sequential causal effect and blip effect of treatment in sequential causal inference. Annals of Statistics, 48 (1), 138-160. 10.1214/18-AOS1795
[Mer information]
Yin, L. & Wang, X. (2017). Estimating confidence regions of common measures of the baseline and treatment effect on dichotomous outcome of a population. Communications in statistics. Simulation and computation, 46 (4), 3034-3049. 10.1080/03610918.2015.1073301
[Mer information]
Yin, L., Wang, X. & Ye, W. (2017). Maximum-likelihood estimation and presentation for the interaction between treatments in observational studies with a dichotomous outcome. Communications in statistics. Simulation and computation, 46 (9), 7138-7153. 10.1080/03610918.2016.1230213
[Mer information]
Wang, X., Ye, W. & Yin, L. (2017). Measuring and estimating the interaction between exposures on a dichotomous outcome for observational studies. Journal of Applied Statistics, 44 (14), 2483-2498. 10.1080/02664763.2016.1257587
[Mer information]
Wang, X., Jin, Y. & Yin, L. (2016). Measuring and estimating treatment effect on dichotomous outcome of a population. Statistical Methods in Medical Research, 25 (5), 1779-1790. 10.1177/0962280213502146
[Mer information]
Wang, X. & Yin, L. (2015). Identifying and estimating net effects of treatments in sequential casual inference. Electronic Journal of Statistics, 9, 1608-1643. 10.1214/15-EJS1046
[Mer information]
Yin, L. & Wang, X. (2015). Measuring and estimating treatment effect on count outcome in randomized trial and observational studies. Communications in Statistics - Theory and Methods, 44 (5), 1080-1095. 10.1080/03610926.2013.776686
[Mer information]
Wang, X. & Yin, L. (2015). Point and interval estimation of baseline risk and treatment effect based on logistic model for observational studies. Biometrical Journal, 57 (3), 441-452. 10.1002/bimj.201400019
[Mer information]
Wang, X., Yin, J. & Yin, L. (2015). Point and interval estimations of marginal risk difference by logistic model. Communications in Statistics - Theory and Methods, 44 (17), 3703-3722. 10.1080/03610926.2013.851229
[Mer information]
Wang, X. & Yin, L. (2013). Identification of Confounding versus Dispersing Covariates by Confounding Influence. Communications in Statistics - Theory and Methods, 42 (24), 4540-4556. 10.1080/03610926.2011.650267
[Mer information]
Yin, L., Sundberg, R., Wang, X. & Rubin, D. (2006). Control of confounding through secondary samples. Statistics in Medicine, 25 (22), 3814-3825. 10.1002/sim.2468
[Mer information]
Wang, X. (1993). The finite part of singular integrals in several complex variables. Transactions of the American Mathematical Society, 337 (2), 771-793. 10.1090/S0002-9947-1993-1120777-0
[Mer information]
Wang, X. (1991). Analyticity theorems for parameter-dependent currents. Mathematica Scandinavica, 69 (2), 179-198.
[Mer information]
Kapitel i böcker
Rubin, D., Wang, X., Yin, L. & Zell, E. (2010). Bayesian casual inference : Approaches to Estimating the Effect of Treating Hospital Type on Cancer Survival in Sweden Using Principal Stratification. The Oxford handbook of applied Bayesian analysis. Oxford University Press. S. 679-708.
[Mer information]
Rapporter
Wang, X. (1997). On Partial Lelong Numbers. Gävle: Högskolan i Gävle/Sandviken. 13 s. (Working Paper / Högskolan Gävle-Sandviken 45)
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