Xijia Liu

Contact

xijia.liu@umu.se

+46 76 930 88 65

Works at

Associate professor at Umeå School of Business, Economics and Statistics (USBE) Section: Statistics

Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå

Affiliated as other position at Department of Mathematics and Mathematical Statistics

MIT-huset, plan 3, Matematik och matematisk statistik Umeå universitet, 901 87 Umeå

Francisella tularensis-specific antibody levels in sera from Swedish patients with suspected tularemia during a 13-year period

Frontiers in Cellular and Infection Microbiology, Frontiers Media S.A. 2024, Vol. 14

Lindgren, Helena; Liu, Xijia; Sjöstedt, Anders

An epigenome-wide analysis of sex hormone levels and DNA methylation in male blood samples

Epigenetics, Taylor & Francis Group 2023, Vol. 18, (1)

Harbs, Justin; Rinaldi, Sabina; Keski-Rahkonen, Pekka; et al.

Utility of Borrelia-specific IgM and IgG antibody titer determinations during a 12-year period: results from a clinical laboratory in Northern Sweden

Frontiers in Cellular and Infection Microbiology, Frontiers Media S.A. 2023, Vol. 13

Liu, Xijia; Tabibzada, Nazanin; Lindgren, Helena; et al.

Pridopidine modifies disease phenotype in a SOD1 mouse model of amyotrophic lateral sclerosis

European Journal of Neuroscience, John Wiley & Sons 2022, Vol. 55, (5) : 1356-1372

Estévez-Silva, Héctor M.; Mediavilla, Tomás; Giacobbo, Bruno Lima; et al.

Circulating Sex Hormone Levels and Colon Cancer Risk in Men: A Nested Case–Control Study and Meta-Analysis

Cancer Epidemiology, Biomarkers and Prevention, American Association for Cancer Research 2022, Vol. 31, (4) : 793-803

Harbs, Justin; Rinaldi, Sabina; Gicquiau, Audrey; et al.

Dyadic diagonalization of positive definite band matrices and efficient B-spline orthogonalization

Journal of Computational and Applied Mathematics, Elsevier 2022, Vol. 414

Liu, Xijia; Nassar, Hiba; Podgórski, Krzysztof

A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk

Scientific Reports, Springer Nature 2021, Vol. 11, (1)

Harlid, Sophia; Harbs, Justin; Myte, Robin; et al.

Combining epigenetic and clinicopathological variables improves specificity in prognostic prediction in clear cell renal cell carcinoma

Journal of Translational Medicine, Vol. 18, (1)

Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.

Statistical learning in computed tomography image estimation

Medical physics (Lancaster), John Wiley & Sons 2018, Vol. 45, (12) : 5450-5460

Bayisa, Fekadu; Liu, Xijia; Garpebring, Anders; et al.

Overdiagnosis in the population-based organized breast cancer screening program estimated by a non-homogeneous multi-state model: a cohort study using individual data with long-term follow-up

Breast Cancer Research, BioMed Central 2018, Vol. 20

Wu, Wendy Yi-Ying; Törnberg, Sven; Elfström, Klara Miriam; et al.

Measure of location-based estimators in simple linear regression

Journal of Statistical Computation and Simulation, Taylor & Francis 2016, Vol. 86, (9) : 1771-1784

Liu, Xijia; Preve, Daniel

Microinjection of Francisella tularensis and Listeria monocytogenes reveals the importance of bacterial and host factors for successful replication

Infection and Immunity, Vol. 83, (8) : 3233-3242

Meyer, Lena; Bröms, Jeanette; Liu, Xijia; et al.

Catch-up growth and factors associated with catch-up growth in extremely preterm infants

Alm, Stina; Liu, Xijia; Stoltz Sjöström, Elisabeth; et al.

Combining epigenetic and clinicopathological variables improves prognostic prediction in clear cell Renal Cell Carcinoma

Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.

Computed Tomography Image Estimation by Statistical Learning Methods

Bayisa, Fekadu L.; Liu, Xijia; Garpebring, Anders; et al.

Double robust estimation of functional outcomes with data missing at random

Ecker, Kreske; Liu, Xijia; Schelin, Lina; et al.

Tularemia in northern Sweden: sero-prevalence and a case-control study of risk factors

Furberg, Maria; Xijia, Liu; Ahlm, Clas; et al.

Contrast Agent Quantification by Using Spatial Information in Dynamic Contrast Enhanced MRI

Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.

View publications in DiVA

Research projects

1 January 2025 until 31 December 2028

Integrative machine and deep learning models for predictive analysis in complex disease areas

1 January 2016 until 30 June 2019

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