Biostatistics
06
Good study design and responsible interpretation of results lead to informed decision-making.
- Advice on different RWE capproaches 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