Using genetic loci to understand the relationship between adiposity and psychological distress: a Mendelian Randomization study in the Copenhagen General Population Study of 53,221 adults

Lawlor, D. A., Harbord, R. M., Tybjaerg-Hansen, A., Palmer, T. M., Zacho, J., Benn, M., Timpson, N. J., Smith, G. D. & Nordestgaard, B. G., 05/2011, In: Journal of Internal Medicine. 269, 5, p. 525-537 13 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Using genetic variation to explore the causal effect of maternal pregnancy adiposity on future offspring adiposity: a Mendelian randomisation study

Richmond, R., Timpson, N. J., Felix, J., Palmer, T. M., Gaillard, R., McMahon, G., Davey Smith, G., Jaddoe, V. & Lawlor, D. A., 24/01/2017, In: PLoS Medicine. 14, 1, 24 p., e1002221.

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Using genetics to test the causal relationship of total adiposity and periodontitis: Mendelian randomization analyses in the Gene-Lifestyle Interactions and Dental Endpoints (GLIDE) Consortium

Shungin, D., Cornelis, M. C., Divaris, K., Holtfreter, B., Shaffer, J. R., Yu, Y-H., Barros, S. P., Beck, J. D., Biffar, R., Boerwinkle, E. A., Crout, R. J., Ganna, A., Hallmans, G., Hindy, G., Hu, F. B., Kraft, P., McNeil, D. W., Melander, O., Moss, K. L., North, K. E., & 21 othersOrho-Melander, M., Pedersen, N. L., Ridker, P. M., Rimm, E. B., Rose, L. M., Rukh, G., Teumer, A., Weyant, R. J., Chasman, D. I., Joshipura, K., Kocher, T., Magnusson, P. K. E., Marazita, M. L., Nilsson, P., Offenbacher, S., Davey Smith, G., Lundberg, P., Palmer, T. M., Timpson, N. J., Johansson, I. & Franks, P. W., 2015, In: International Journal of Epidemiology. 44, 2, p. 638-650 13 p.

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Using historical lesion volume data in the design of a new phase II clinical trial in acute stroke.

Whitehead, J., Bolland, K., Valdés-Márquez, E., Lihic, A., Ali, M. & Lees, K., 04/2009, In: Stroke. 40, 4, p. 1347-1352 6 p.

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Using Multilevel Mixtures to Evaluate Intervention Effects in Group Randomized Trials.

Van Horn, M. L., Fagan, A. A., Jaki, T., Brown, E. C., Hawkins, J. D., Arthur, M. W., Abbott, R. D. & Catalano, R. F., 04/2008, In: Multivariate Behavioral Research. 43, 2, p. 289-326 38 p.

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Using multilevel regression mixture models to identify level-1 heterogeneity in level-2 effects

Van Horn, M. L., Feng, Y., Kim, M., Lamont, A. E., Feaster, D. & Jaki, T., 2016, In: Structural Equation Modeling. 23, 2, p. 259-269 11 p.

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Using multiple genetic variants as instrumental variables for modifiable risk factors

Palmer, T. M., Lawlor, D. A., Harbord, R. M., Sheehan, N. A., Tobias, J. H., Timpson, N. J., Davey Smith, G. & Sterne, J. A. C., 06/2012, In: Statistical Methods in Medical Research. 21, 3, p. 223-242 20 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Using regression mixture models with non-normal data: examining an ordered polytomous approach

George, M., Yang, N., Van Horn, M. L., Smith, J., Jaki, T., Feaster, D., Maysn, K. & Howe, G., 2013, In: Journal of Statistical Computation and Simulation. 83, 4, p. 757-770 14 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review