Technical Consultancy on the Design, Development and Data Analysis of Health Sciences Research Projects

We provide consultancy on developing research projects from scratch to answer clinical or epidemiological research questions. This includes selecting the most appropriate study design (meta-analyses, clinical trials, cohort studies, case-control studies, cross-sectional studies, ecological studies, diagnostic test studies and questionnaire validation); calculating the minimum sample size required to detect the expected effect; advising on statistical sampling; designing databases and defining and measuring variables; using validated questionnaires; conducting statistical data analysis; preparing reports with clinically relevant interpretations of the results; and advising on publication in high-impact scientific journals.

Research methodology in Health Sciences has a wide range of applications. We help answer research questions across all types of biomedical projects, including doctoral theses, presentations at scientific conferences, Master’s dissertations and undergraduate final-year projects, pharmaceutical research projects, healthcare technology research and diagnostic testing.

We have over 20 years of experience in Health Sciences research projects. We apply the scientific method rigorously to address research questions and objectives, following key research reporting guidelines such as PRISMA, CONSORT and STROBE. We use state-of-the-art biostatistical methods for data analysis, including nonlinear multivariate models, generalised linear models, mixed-effects models, survival analysis, competing risks, multi-state models, machine learning, deep learning and artificial intelligence. We understand biomedical terminology and the needs and challenges faced by Health Sciences researchers and students, enabling us to provide effective and methodologically rigorous solutions.

We have over 20 years of practical experience in Health Sciences research, enabling us to address clinical and epidemiological problems effectively and rigorously using advanced biostatistical methods.

• Hospitals and Healthcare Centres (Clinical Research Units).
• Pharmaceutical and Biotechnology Industries.
• Biomedical Research Centres.
• Universities and Postgraduate Programmes (doctoral and Master’s students).
• Healthcare Technology and Medical Device Companies.

José Antonio Quesada Rico – Department of Clinical Medicine