- Røysland, K., Ryalen, P. C., Nygård, M., & Didelez, V. (2025). Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses. Journal of the Royal Statistical Society Series B: Statistical Methodology, 87(1), 74-97.
- Janvin, M., Ryalen, P. C., Sarvet, A. L., & Stensrud, M. J. (2025). A positivity robust strategy to study effects of switching treatment. Biometrics, 81(3).
- Maltzahn, N. N., Mehlum, I. S., & Gran, J. M. (2024). Separable and controlled direct effects for competing events: Estimation of component specific effects on sickness absence. Statistics in Medicine, 43(22), 4305-4327.
- Janvin, M., Young, J. G., Ryalen, P. C., & Stensrud, M. J. (2024). Causal inference with recurrent and competing events. Lifetime data analysis, 30(1), 59-118.
- Keogh, R. H., Gran, J. M., Seaman, S. R., Davies, G., & Vansteelandt, S. (2023). Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models. Statistics in medicine, 42(13), 2191-2225.
- Brathovde, M., Moger, T. A., Aalen, O. O., Grotmol, T., Veierød, M. B., & Valberg, M. (2023). A lean additive frailty model: With an application to clustering of melanoma in Norwegian families. Statistics in Medicine, 42(23), 4207-4235.
- Hoff, R., Maltzahn, N., Hasting, R. L., Merkus, S. L., Undem, K., Kristensen, P., ... & Gran, J. M. (2022). An initiative for a more inclusive working life and its effect on return-to-work after sickness absence: a multistate longitudinal cohort study. BMJ open, 12(11).
- Ryalen, P. C., Møller, B., Laache, C. H., Stensrud, M. J., & Røysland, K. (2021). Prognosis of cancer survivors: estimation based on differential equations. Biostatistics, 24(2), 345-357.
- Maltzahn, N., Hoff, R., Aalen, O. O., Mehlum, I. S., Putter, H., & Gran, J. M. (2021). A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models. Lifetime data analysis, 27(4), 737-760.
- Keogh, R. H., Seaman, S. R., Gran, J. M., & Vansteelandt, S. (2021). Simulating longitudinal data from marginal structural models using the additive hazard model. Biometrical Journal, 63(7), 1526-1541.
- Aalen, O. O., Stensrud, M. J., Didelez, V., Daniel, R., Røysland, K., & Strohmaier, S. (2020). Time‐dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model. Biometrical Journal, 62(3), 532-549.
- Ryalen, P. C., Stensrud, M. J., Fosså, S., & Røysland, K. (2020). Causal inference in continuous time: an example on prostate cancer therapy. Biostatistics, 21(1), 172-185.
- Hoff, R., Putter, H., Mehlum, I. S., & Gran, J. M. (2019). Landmark estimation of transition probabilities in non-Markov multi-state models with covariates. Lifetime data analysis, 25(4), 660-680.
- Stensrud, M. J., Aalen, J. M., Aalen, O. O., & Valberg, M. (2019). Limitations of hazard ratios in clinical trials. European heart journal, 40(17), 1378-1383..
- Stensrud, M. J., Røysland, K., & Ryalen, P. C. (2019). On null hypotheses in survival analysis. Biometrics, 75(4), 1276-1287.
- Stensrud, M. J., Ryalen, P. C., & Røysland, K. (2019). Sufficient Cause Interaction for Time-to-event Outcomes. Epidemiology, 30(2), 189-196.
- Ryalen, P. C., Stensrud, M. J., & Røysland, K. (2019). The additive hazard estimator is consistent for continuous-time marginal structural models. Lifetime data analysis, 25(4), 611-638.
- Djordjilović, V., Page, C. M., Gran, J. M., Nøst, T. H., Sandanger, T. M., Veierød, M. B., & Thoresen, M. (2019). Global test for high‐dimensional mediation: Testing groups of potential mediators. Statistics in medicine, 38(18), 3346-3360.
- Ryalen, P. C., Stensrud, M. J., & Røysland, K. (2018). Transforming cumulative hazard estimates. Biometrika, 105(4), 905-916.
- 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.
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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.
- 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.
Selected publications
Published Feb. 21, 2017 4:56 PM
- Last modified Aug. 5, 2025 10:05 AM