Biostatistics

Good study design and responsible interpretation and understanding of the results lead to judicious decision-making.

• Advice on different RWE approaches with the design of:
  • Population studies
  • Case reports
  • Case series
  • Cohort studies
  • Case-control studies
  • Diagnostic test studies
  • Secondary research
  • Meta-analyses
  • Ecological studies
  • Modelling
  • Consensus studies using the Delphi method
• Statistical analysis plan design and choice of techniques:
  • Sampling strategy design
  • Sample size calculation
  • Study monitoring: data quality, estimation and elimination of biases, etc.
  • Advice on data collection instruments: development and validation of questionnaires and care quality indicators, preferences, KAP (knowledge, attitudes and practices), etc.
  • Cost calculator
• Conduct of the analysis:
  • Descriptive statistics
  • Simple and multivariate inferential statistics
  • Time series analysis
  • Modelling with multicausal models
  • Cluster analysis
  • Multiple correspondence analysis
  • Omics data analysis
  • Meta-analysis and network meta-analysis
  • Data mining with NLP and sentiment analysis
  • Simulation study
• Drafting of final reports and interpretation of results