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Weng Kee Wong is a biostatistician at UCLA Fielding School of Public Health with extensive experience in clinical trials and statistical methodologies. He received his PhD in Statistics from the University of Minnesota in 1990. Wong has significant contributions to research in rheumatoid arthritis, focusing on studies including 'High versus Low Dose Pencillamine Systemic Sclerosis' and 'Long Term Observational Study of Early Severe RA Patients'. He served as the director for the 'Multipurpose Arthritis Center Data Analysis Core' from 1995 to 1998 and participates in NIH-supported research in health sciences. His research primarily centers on optimal design of experiments and applications in clinical trials, particularly the construction of multiple-objective designs that cater to practical needs. Wong's work is published in both theoretical and applied journals in statistics and pharmaceutical sciences.
UCLA Fielding School of Public Health • Los Angeles, CA
Currently involved in research supporting clinical trials and methodological studies.
Department of Economics admits primarily for the PhD program.