Assam, Pryseley Nkouibert

Research Interests:

Pryseley Assam is biostatistician who has contributed to the development of methods for evaluating surrogate endpoints in clinical trials, with focus on event-time endpoints. His research interests also extend to longitudinal and multivariate data, generalizability (reliability), and evidence synthesis. He has and is currently applying these methods in clinical and epidemiological studies of cancer, mental-health (schizophrenia, depression) and pain. He has authored about 12 papers.

Selected Publications:

Assam, P., Tchonlafi, C., Verbeke, G., and Molenberghs, G. (2011). Estimating Negative Variance Components From Gaussian and Non-Gaussian Data: A Mixed Models Approach. Computational Statistics and Data Analysis, 55: 1071 – 1085

Assam, P., Mintiens, K., Knapen, K., Van Der Stede, Y. and Molenberghs, G. (2010). Estimating Precision, Repeatability, and Reproducibility from Gaussian and Non-Gaussian Data: A Mixed Models Approach. Journal of Applied Statistics, 37, 1729 – 1739

Assam, P., Tilahun A., Alonso, A., Molenberghs G. (2010). Using Earlier Measures in a Longitudinal Sequence as Potential Surrogate for a Later One. Computational Statistics & Data Analysis, 54: 1342 – 1354.

Molenberghs, G. Burzykowski, T., Alonso, A., Assam, P., Tilahun, A., Buyse, M. (2010). Unified Framework for the Evaluation of Surrogate Endpoints in Mental-Health Clinical Trials. Statistical Methods in Medical Research, 19: 205 – 236.

Chan EY, Chen WT, Assam PN. (2010). External Cooling Methods for Treatment of Fever in Adults: a Systematic Review. JBI Library of Systematic Reviews. 8(20): 793 – 825.

Assam, P., Ledent, E., Drewes, A., Olesen A.,E., Staahl, C., and Arendt-Nielsen, L. (2009). Applying Concepts of Generalizability Theory on Data from Experimental Pain Studies to Investigate Reliability. Basic & Clinical Pharmacology & Toxicolog, 105: 105 – 112.

Tilahun A., Assam, P., Alonso, A., Molenberghs G. (2008). Information-theory based surrogate marker evaluation from several randomized clinical trials with binary surrogate endpoints, using SAS. Journal of Biopharmaceutical Statistics, 18(2): 326 – 341.

Molenberghs, G., Burzykowski, T., Alonso, A., Assam, P., Tilahun, A., Buyse, M. (2008). The Meta-analytic framework for the evaluation of surrogate endpoints in clinical trials. Journal of Statistical Planning and Inference, 138(2): 432 – 449.

Assam, P., Tilahun A., Alonso, A., Molenberghs G. (2007). Information-theory based surrogate marker evaluation from several randomized clinical trials with continuous true and binary Surrogate endpoints, using R. Clinical Trials, 4(6): 587 – 597

Tilahun A., Assam, P., Alonso, A., Molenberghs G. (2007). Flexible surrogate marker validation from several randomized clinical trials with continuous endpoints using SAS and R. Computational Statistics and Data Analysis 51: 4152 – 4163.