Yang Cao

About Yang Cao

Yang Cao is an Associate Professor, Biostatistician and Epidemiologist in the Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, who provides supervision and statistical support for all phases medical science researches.

Research

• 2019-2022, Co-investigator, Health Outcomes and Resource Utilization for Bariatric Surgery: Real World Evidence from Sweden, Swedish Foundation of Forte, 4,600,000 SEK
• 2018-2021, Co-investigator, Sealed therapeutic shoe or cast to treat diabetic foot ulcers, Swedish Foundation of Forte, 3,650,000 SEK
• 2018-2019, Principal Investigator, Placental leptin, leptin receptor isoforms, and inflammation in obese women - in relation to birth weight of the outcome (Nyckelfonden OLL-778421), 119,339 SEK
• 2016-2018, Principal Investigator (PI), Longitudinal Effects on Mental and Physical Health of Chronic Exposure to Pesticides in Childhood: a Birth Cohort Study, Swedish Foundation for International Cooperation in Research and Higher Education, 500,000 SEK
• 2014-2018, PI, Novel Methods for Assessing Spatiotemporal Relationship between Traffic-related Air Pollutants and Respiratory Health, KI Fakultetsmedel för delfinansiering av ny doktorand, 1,080,000 SEK
• 2013-2017, PI, Spatiotemporal Relationship between Multiple Air Pollutants and Respiratory Diseases, IMM Junior Faculty Programme, 1,000,000 SEK

Academic Teaching and Supervision

• 2012-present, teach Nonparametric Statistical Methods, Sampling for master students of Global Health and Public Health in KI; teach Categorical Data Analysis for PhD students of Epidemiology in Sweden.
• 2011-present, Co-supervisor of four PhD students in Sweden (Mohammad Mohammadi, Qing Shen) and China.
• 2013-present, Main supervisor of two PhD students in KI and Örebro University.
• 2014-present, Main supervisor of five master students in KI and Örebro University.

Key responsibilities in statistics and epidemiology

• Clinical research conduction in accordance with the principles of ICH/GCP.
• Epidemiology/Clinical Study Protocols design and project proposal.
• Review the paper or electronic Case Report Forms, the Data Management Plans.
• Develop Statistical Analysis Plans, output shells specifications following data standards (i.e. CDISC); tables, figures and listings programming.
• Provide input to set-up of rules for protocol violations.
• Provide oversight and evaluation of quality of data.
• Analysing and reporting for clinical trials and epidemiology studies.
• Prepare and participate in client meetings (i.e. Blinded Data Review Meeting).
• Preparation, maintenance, and checking of biostatistics documentation follow SOPs/WIs.
• Review and distribute statistical deliverables for Clinical Study Report (CSR) results.
• Preparation of integrated clinical, statistical reports and regulatory documents.
• Observational study design, organization and implementation.
• Power and sample size calculation, randomization, case-control matching.
• Registry data linkage, data curation, review and cleaning, data quality evaluation, and validation checks.
• Statistical modelling, meta-analysis, network meta-analysis.
• Scientific papers writing/reviewing.

Main statistical methodologies: data modelling, analysis of variance/covariance, binary data analysis, longitudinal analysis (repeated measures), generalized additive mixed model, survival analysis, Cox regression, flexible parametric survival analysis, quantile regression model, structural equational model, multiple imputation and imputed data analysis, meta-analysis, network meta-analysis, latent variable analysis, Q methods, nonparametric statistics, resampling statistics, Bayesian methods, statistical learning/machine learning/deep learning methods, and different data visualization techniques.

Main therapeutic areas: cardiology, oncology, gynaecology, diabetes, multiple sclerosis, neuroscience (depression), IBD, anaesthesiology and medical conditions (i.e. cardiovascular, chronic kidney, respiratory, autoimmune diseases), vaccines.

Main statistical software: Stata 15.1, SAS 9.4, R 3.51, Python 3.6, SPSS 25. I used to work also with Matlab, Statistica, Minitab, Mplus, Resampling Stats, Graphpad, NCSS and PASS, RevMan, winBUGS, et al.

Key responsibilities in programming: Programming of tables, figures and listings and support of analysis datasets (also ADaM, when CDISC required). Randomization lists and sample size calculations. Experience with programming analyses and patients’ profiles within the scope of Monitoring Committees.

Main achievement

2018 June, Rennells Prize, Swedish Medical Association
Extensive collaboration with Swedish, Chinese and the United States medical science societies
Principal investigator or coinvestigator, chief statistician of 13 international, national or regional epidemiology and/or clinical studies in Sweden and China.