• Rutegård, M., I. Hed Myrberg, C. Nordenvall, K. Landerholm, F. Jörgren, P. Matthiessen,  J. Park, J. Segelman, P. Buchwald, J. Häggström. (in press). Development and validation of an anastomotic risk score for use in a randomised clinical trial on defunctioning stoma use in low anterior resection for rectal cancer. Accepted by Colorectal Disease.
  • Gerdin, A., J. Park, J. Häggström, J. Segelman, P. Matthiessen, M-L. Lydrup, M. Rutegård on behalf of the RectoLeak Study Group. (2024). Anastomotic leakage after resection for rectal cancer and recurrence-free survival in relation to postoperative C-reactive protein levels. International Journal of Colorectal Disease 39, 193. [Journal version]
  • Otieno, J.A., J. Häggström, D. Darehed, M. Eriksson. (2024). Developing machine learning models to predict multi-class functional outcomes and death three months after stroke in Sweden. PLOS ONE 19, 1-16. [Journal version]
  • Barros, G. W. F., J. Häggström (prepublished). Covariate selection for the estimation of marginal hazard ratios in high-dimensional data.  preprint arXiv. [arXiv]
  • Barros, G. W. F., J. Häggström (prepublished). Impact of non-informative censoring on propensity score based estimation of marginal hazard ratios.  preprint arXiv. [arXiv]
  • Zwackman, S., J. Häggström, E. Hagström, T. Jernberg, J-E. Karlsson, S. Sederholm Lawesson, M. Leosdottir, A. Ravn-Fischer, M. Eriksson, J. Alfredsson. (2024). Management and outcome in foreign-born vs native-born patients with myocardial infarction in Sweden. European Heart Journal – Quality of Care and Clinical Outcomes, qcae020. [Journal version]
  • Gerdin, A., J. Park, J. Häggström, J. Segelman, P. Matthiessen, M-L. Lydrup, M. Rutegård, the RectoLeak Study Group. (2024). Preoperative beta blockers and other drugs in relation to anastomotic leakage after anterior resection for rectal cancer. Colorectal Disease 26, 974 – 986. [Journal version]
  • Barros, G. W. F., M. Eriksson, J. Häggström (2023). Performance of modeling and balancing approach methods when using weights to estimate treatment effects in observational time-to-event settings. PLOS ONE 18, e0289316. [Journal version]
  • Golshani, P., J. Park, J. Häggström, J. Segelman, P. Matthiessen, M-L. Lydrup, M. Rutegård. (2023). The modified Glasgow Prognostic Score indicated an increased risk of anastomotic leakage after anterior resection for rectal cancer. International Journal of Colorectal Disease 38, 200. [Journal version]
  • Sampaio, F., J. Häggström, R. Ssegonja, E. Eurenius, A. Ivarsson, A-M. Pulkki – Brännström,  I. Feldman. (2023). Health and economic outcomes of a universal early intervention for parents and children from birth to age five: evaluation of the Salut Programme using a natural experiment. Cost Effectiveness and Resource Allocation 21, 1 – 12. [Journal version]
  • Rutegård, M., J. Häggström, E. Back, K. Holmgren, J. Wixner, J. Rutegård, P. Matthiessen, O. Sjöström. (2023). Defunctioning loop ileostomy in anterior resection for rectal cancer and subsequent renal failure: nationwide population-based study. BJS Open 7, 1 – 9. [Journal version]
  • Moosavi, N., J. Häggström, and X. de Luna. (2023). The costs and benefits of valid causal inference in the presence of high dimensional nuisance parameters. Statistical Science 38, 1 – 12. [Journal version]
  • Back, E., J. Häggström, K. Holmgren, M.M. Haapamäki, P. Matthiessen, J. Rutegård, M. Rutegård. (2021). Permanent stoma prediction after anterior resection for rectal cancer: risk prediction scoring using pre-operative variables. British Journal of Surgery 108, 1388 – 1395. [Journal version]
  • Wallin, G., J. Häggström, and M. Wiberg. (2021). How important is the choice of bandwidth in kernel equating? Applied Psychological Measurement 45, 518 – 535. [Journal version]
  • Holmgren, K., J. Häggström, M.M. Haapamäki, P. Matthiessen, J. Rutegård, M. Rutegård. (2021). Defunctioning stomas may reduce chances of a stoma-free outcome after anterior resection for rectal cancer. Colorectal Disease 23, 2859 – 2869. [Journal version]
  • Boström, P., D. Kverneng Hultberg, J. Häggström, M.M. Haapamäki, P. Matthiessen, J. Rutegård, M. Rutegård. (2021). Oncological impact of high vascular tie after surgery for rectal cancer: a nationwide cohort study. Annals of Surgery 274,.e236 – e244 [Journal version]
  • Myte. R, S. Harlid, A. Sundkvist, B. Gylling, J. Häggström, C. Zingmark, A. Löfgren Burström, R. Palmqvist, B. van Guelpen. (2020). A longitudinal study of prediagnostic metabolic biomarkers and the risk of molecular subtypes of colorectal cancer. Scientific Reports 10, 1 – 12. [Journal version]
  • Pulkki – Brännström, A – M., M. Lindkvist, E. Eurenius,  J. Häggström, A. Ivarsson, F. Sampaio, I. Feldman. (2020). The equity impact of a universal child health promotion programme. Journal of Epidemiology & Community Health 74, 605 – 611. [Journal version]
  • Myte, R., B. Gylling, J. Häggström, C. Häggström, C. Zingmark, A. Löfgren Burström, R. Palmqvist and B. van Guelpen. (2019). Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status. International Journal of Cancer 145, 327-337. [Journal version]
  • Gylling, B., R. Myte, A. Ulvik, P. M. Ueland, Ø. Midttun, J. Schneede, G. Hallmans, J. Häggström, I. Johansson, B. van Guelpen and R. Palmqvist. (2019). One-carbon metabolite ratios as functional B-vitamin markers and in relation to colorectal cancer risk. International Journal of Cancer, 149, 947 – 956. [Journal version]
  • Ju, C., R. Wyss, J.M. Franklin, S Schneeweiss, J. Häggström and M.J. van der Laan. (2019). Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data. Statistical Methods in Medical Research 28, 1044-1063. [Journal version | arXiv | R package]
  • Myte, R., B. Gylling, J. Häggström, J. Schneede, A. Löfgren Burström, G. Hallmans, K. Meyer, I. Johansson, P. M. Ueland, R. Palmqvist and B. van Guelpen. (2018). One-carbon metabolism biomarkers and genetic variants in relation to colorectal cancer risk by KRAS and BRAF mutation status. PLOS ONE 13, e0196233. [Journal version]
  • Häggström, J. (2018). Data-driven Confounder Selection via Markov and Bayesian Networks (with discussion). Biometrics 74, 389-398. [Journal version | arXiv | Discussion by Kennedy and Balakrishnan | Discussion by Richardson, Robins and Wang | Rejoinder to discussions | R package]
  • Häggström, J. , E. Eurenius, A. Ivarsson, M. Lindkvist, A-M. Pulkki Brännström, F. Sampaio and I. Feldman. (2017). Is the Salut Programme an effective and cost-effective universal health promotion intervention for parents and their children? A register-based retrospective observational study. BMJ Open 7, e016732. [Journal version]
  • Claeson, A-S., S. Gouveia-Figueira, J. Häggström, C.J. Fowler and M.L. Nording. (2017). Levels of oxylipins, endocannabinoids and related lipids in plasma before and after low-level exposure to acrolein in healthy individuals and individuals with chemical intolerance. Prostaglandins, Leukotrienes and Essential Fatty Acids (PLEFA) 121, 60-67. [Journal version]
  • Chaparro, M.P., X. de Luna, J. Häggström, A. Ivarsson, U. Lindgren, K. Nilsson, I. Koupil. (2017). Childhood family structure and women’s adult overweight risk: A longitudinal study. Scandinavian Journal of Public Health 45, 511-519.
  • Gylling, B., R. Myte, J. Schneede, G. Hallmans, J. Häggström, I. Johansson, A. Ulvik, P. M. Ueland, B. van Guelpen and R. Palmqvist. (2017). Vitamin B-6 and colorectal cancer risk: a prospective, population-based study using 3 distinct plasma markers of vitamin B-6 status. The American Journal of Clinical Nutrition 105, 897-904. [Journal version]
  • Myte, R., B. Gylling, J. Häggström, J. Schneede, P. M. Ueland, G. Hallmans, I. Johansson, R. Palmqvist and B. van Guelpen. (2017). Untangling the role of one-carbon metabolism in colorectal cancer risk: a comprehensive Bayesian network analysis. Scientific Reports 7, 43434 EP-. [Journal version]
  • Gabrielsson, L., S. Gouveia-Figueira, J. Häggström, M. Alhouayek and C. J. Fowler. (2017). The anti-inflammatory compound palmitoylethanolamide inhibits prostaglandin and hydroxyeicosatetraenoic acid production by a macrophage cell line. Pharmacology Research & Perspectives 5, e00300. [Journal version]
  • Persson, E., J. Häggström, I. Waernbaum and X. de Luna. (2017). Data-driven Algorithms for Dimension Reduction in Causal Inference. Computational Statistics & Data Analysis 105, 280-292. [Journal version | arXiv]
  • Myte, R., B. Gylling, J. Hultdin, J. Schneede, G. Hallmans, J. Häggström, I. Johansson, R. Palmqvist and B. van Guelpen. (2016). Components of one-carbon metabolism other than folate and colorectal cancer risk. Epidemiology 27, 787-796. [Journal version]
  • Feldman, I., E. Eurenius, J. Häggström, M. Lindkvist, A-M. Pulkki Brännström, F. Sampaio and A. Ivarsson. (2016). Effectiveness and cost-effectiveness of the Salut Programme: a universal health promotion intervention for parents and children – protocol of a register-based retrospective observational study. BMJ Open 6, e011202.[Journal version]
  • Häggström, J., E. Persson, I. Waernbaum and X. de Luna. (2015). CovSel: An R Package for Covariate Selection when Estimating Average Causal Effects. Journal of Statistical Software 68, 1-20. [Journal version | R package]
  • Chaparro, M.P., A. Ivarsson, I. Koupil, K. Nilsson, J. Häggström, X. de Luna, U. Lindgren. (2015). Regional inequalities in pre-pregnancy overweight and obesity in Sweden, 1992, 2000 and 2010. Scandinavian Journal of Public Health 43, 534-539. [Journal version]
  • Hammarsten, P., J. Winther, S. Rudolfsson, J. Häggström, A. Karalija, L. Egevad, T. Granfors, C.J. Fowler. (2014). ErbB2 Receptor Immunoreactivity in Prostate Cancer: Relationship to the Androgen Receptor, Disease Severity at Diagnosis, and Disease outcome. PLOS ONE 9, e105063. [Journal version]
  • Häggström, J., X. de Luna. (2014). Targeted Smoothing Parameter Selection for Estimating Average Causal Effects. Computational Statistics 29, 1727-1748. [Journal version]
  • Häggström, J., M. Cipriano, L. Plym Forshell, E. Persson, P. Hammarsten, N. Stella and C.J. Fowler. (2014). Potential upstream regulators of cannabinoid receptor 1 signaling in prostate cancer: A Bayesian network analysis of data from a tissue microarray. The Prostate 74, 1107-1117. [Journal version]
  • Häggström, J., M. Wiberg. (2014). Optimal Bandwidth Selection in Observed-Score Kernel Equating. Journal of Educational Measurement 51, 201-211. [Journal version]
  • Cipriano, M., J. Häggström, P. Hammarsten and C.J. Fowler. (2013). Association between cannabinoid CB1 receptor expression and Akt signalling in prostate cancer. PLOS ONE 8, e65798. [Journal version]
  • Häggström, J. (2013). Bandwidth Selection for Backfitting Estimation of Semiparametric Additive Models: A Simulation Study. Computational Statistics & Data Analysis 62, 136-148. [Journal version]
  • Häggström, J., X. de Luna. (2010). Estimating prediction error: cross-validation vs. accumulated prediction error. Communications in Statistics–Simulation and Computation 39, 880–898. [Journal version]

PhD thesis

Häggström, J. (2011). Selection of Smoothing Parameters with Application in Causal Inference. Statistical Studies No. 44. Department of Statistics, Umeå University. ISBN 978-91-7459-147-7. [Introduction and summary of papers]