Selected publications

  • Ryalen, P. C., Stensrud, M. J., & Røysland, K. (2018). Transforming cumulative hazard estimates. Biometrika, 105(4), 905-916.
  • Ryalen, P. C., Stensrud, M. J., Fosså, S., & Røysland, K. (2018). Causal inference in continuous time: an example on prostate cancer therapy. Biostatistics.
  • Aalen, O. O., Gran, J. M., Røysland, K., Stensrud, M. J., & Strohmaier, S. (2018). Feedback and Mediation in Causal Inference Illustrated by Stochastic Process Models. Scandinavian Journal of Statistics, 45(1), 62-86.
  • Gran, J. M., Hoff, R., Røysland, K., Ledergerber, B., Young, J., & Aalen, O. O. (2018). Estimating the treatment effect on the treated under time‐dependent confounding in an application to the Swiss HIV Cohort Study. Journal of the Royal Statistical Society: Series C (Applied Statistics), 67(1), 103-125.
  • Valberg, M., Stensrud, M. J., & Aalen, O. O. (2018). The surprising implications of familial association in disease risk. BMC Public Health, 18(1), 135.
  • Hoff, R., Corbett, K., Mehlum, I. S., Mohn, F. A., Kristensen, P., Hanvold, T. N., & Gran, J. M. (2018). The impact of completing upper secondary education-a multi-state model for work, education and health in young men. BMC Public Health, 18(1), 556.
  • Iuliano, A. D., Roguski, K. M., Chang, H. H., Muscatello, D. J., Palekar, R., Tempia, S., Cohen, C., Gran, J. M., ... & Wu, P. (2018). Estimates of global seasonal influenza-associated respiratory mortality: a modelling study. The Lancet, 391(10127), 1285-1300.
  • Stensrud, M. J., & Valberg, M. (2017). Inequality in genetic cancer risk suggests bad genes rather than bad luck. Nature Communications, 8(1), 1165.
  • Stensrud, M. J., Valberg, M., Røysland, K., & Aalen, O. O. (2017). Exploring Selection Bias by Causal Frailty Models. Epidemiology, 28(3), 379-386.
  • Prague, M., Commenges, D., Gran, J. M., Ledergerber, B., Young, J., Furrer, H., & Thiébaut, R. (2017). Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study. Biometrics, 73(1), 294-304.
  • Stensrud, M. J., Valberg, M., & Aalen, O. O. (2017). Can Collider Bias Explain Paradoxical Associations?. Epidemiology, 28(4), e39-e40.
  • Stensrud, M. J., Strohmaier, S., Valberg, M., & Aalen, O. O. (2017). Can chance cause cancer? A causal consideration. European Journal of Cancer, 75, 83-85.
  • Valberg, M., Grotmol, T., Tretli, S., Veierød, M. B., Moger, T. A., Devesa, S. S., & Aalen, O. O. (2017). Prostate-specific antigen testing for prostate cancer: Depleting a limited pool of susceptible individuals?. European journal of epidemiology, 32(6), 511-520.
  • Aalen, O. O., Røysland, K., Gran, J. M., Kouyos, R., & Lange, T. (2016). Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms. Statistical methods in medical research, 25(5), 2294-2314.
  • Aalen, O. O., Cook, R. J., & Røysland, K. (2015). Does Cox analysis of a randomized survival study yield a causal treatment effect?. Lifetime data analysis, 21(4), 579-593.
  • Gran, J. M., Lie, S. A., Øyeflaten, I., Borgan, Ø., & Aalen, O. O. (2015). Causal inference in multi-state models–sickness absence and work for 1145 participants after work rehabilitation. BMC public health, 15(1), 1082.
  • Strohmaier, S., Røysland, K., Hoff, R., Borgan, Ø., Pedersen, T. R., & Aalen, O. O. (2015). Dynamic path analysis–a useful tool to investigate mediation processes in clinical survival trials. Statistics in medicine, 34(29), 3866-3887.
  • Stensrud, M. J., & Aalen, O. O. (2015). What can we say about causality?. Tidsskrift for den Norske laegeforening: tidsskrift for praktisk medicin, ny raekke, 135(16), 1465.
  • Corbett, K., Gran, J. M., Kristensen, P., & Mehlum, I. S. (2015). Adult social position and sick leave: the mediating effect of physical workload. Scandinavian journal of work, environment & health, 542-553.
  • Aalen, O. O., Valberg, M., Grotmol, T., & Tretli, S. (2014). Understanding variation in disease risk: the elusive concept of frailty. International journal of epidemiology, 44(4), 1408-1421.
  • Hoff, R., Gran, J. M., & Farewell, D. (2014). Farewell's Linear Increments Model for Missing Data: The FLIM Package. R Journal, 6(2).
  • Kristensen, P., & Aalen, O. O. (2013). Understanding mechanisms: opening the" black box" in observational studies. Scandinavian journal of work, environment & health, 39(2), 121-124.
  • Valberg, M., Grotmol, T., Tretli, S., Veierød, M. B., Moger, T. A., & Aalen, O. O. (2013). A hierarchical frailty model for familial testicular germ-cell tumors. American journal of epidemiology, 179(4), 499-506.
  • Aalen, O. O. (2012). Armitage lecture 2010: understanding treatment effects: the value of integrating longitudinal data and survival analysis. Statistics in medicine, 31(18), 1903-1917.
  • Aalen, O. O., Røysland, K., Gran, J. M., & Ledergerber, B. (2012). Causality, mediation and time: a dynamic viewpoint. Journal of the Royal Statistical Society: Series A (Statistics in Society), 175(4), 831-861.
  • Valberg, M., Grotmol, T., Tretli, S., Veierød, M. B., Devesa, S. S., & Aalen, O. O. (2012). Frailty modeling of age–incidence curves of osteosarcoma and Ewing sarcoma among individuals younger than 40 years. Statistics in medicine, 31(28), 3731-3747.
  • Røysland, K. (2012). Counterfactual analyses with graphical models based on local independence. The Annals of Statistics, 40(4), 2162-2194.
  • Blasio, B. F. D., Seierstad, T. G., & Aalen, O. O. (2011). Frailty effects in networks: comparison and identification of individual heterogeneity versus preferential attachment in evolving networks. Journal of the Royal Statistical Society: Series C (Applied Statistics), 60(2), 239-259.
  • Røysland, K. (2011). A martingale approach to continuous-time marginal structural models. Bernoulli, 17(3), 895-915.
  • Røysland, K., Gran, J. M., Ledergerber, B., von Wyl, V., Young, J., & Aalen, O. O. (2011). Analyzing direct and indirect effects of treatment using dynamic path analysis applied to data from the Swiss HIV Cohort Study. Statistics in medicine, 30(24), 2947-2958.
  • Aalen, O. O., & Gunnes, N. (2010). A dynamic approach for reconstructing missing longitudinal data using the linear increments model. Biostatistics, 11(3), 453-472.
  • Aalen, O. O. (2010). Understanding disease processes. Statistics in medicine, 29(11), 1159-1160.
  • Aalen, O. O. (2010). Survival analysis, longitudinal analysis and causal inference. Lifetime data analysis, 16(1), 1.
  • Gjessing, H. K., Røysland, K., Pena, E. A., & Aalen, O. O. (2010). Recurrent events and the exploding Cox model. Lifetime data analysis, 16(4), 525-546.
  • Gran, J. M., Røysland, K., Wolbers, M., Didelez, V., Sterne, J. A., Ledergerber, B., ... & Aalen, O. O. (2010). A sequential Cox approach for estimating the causal effect of treatment in the presence of time‐dependent confounding applied to data from the Swiss HIV Cohort Study. Statistics in medicine, 29(26), 2757-2768.
Published Feb. 21, 2017 4:56 PM - Last modified Dec. 5, 2018 11:11 AM