Biostatistics & Data Management
Master statistical analysis and clinical data integrity
LEVELS
Training Levels
Choose the right level for your team
Fundamentals
LEVEL 1Fundamentals Statistical Methods
- Types of data & descriptive statistics
- Hypothesis testing & p-values
- Confidence intervals
- Basic CRF design
Applied
LEVEL 2Active researchers
- Correlation and regression analysis
- Survival analysis (Kaplan-Meier)
- Sample size calculation
- Intermediate data cleaning
Advanced
LEVEL 3Biostatisticians, senior researchers
- Multivariate analysis
- Logistic regression modeling
- Handling missing data
- Interim analyses & adaptive trial statistics
OUTCOMES
Learning Outcomes
Ensure high-quality data collection and database design
Calculate precise sample sizes to avoid underpowered studies
Select correct statistical tests for different data types
Gain proficiency with SPSS, SAS, and R
Confidently interpret p-values, confidence intervals, and hazard ratios
AVAILABILITY
Training Formats
On-Site Training (KSA)
CERTIFICATE INCLUDED
Virtual Classroom
CERTIFICATE INCLUDED
Europe Immersion
CERTIFICATE INCLUDED
All participants receive an MFG Training certified completion certificate upon successful program completion.
Key Topics
Key Topics
- 1Descriptive Statistics, Hypothesis Testing, & Basic CRF Design
- 2Survival Analysis (Kaplan-Meier) & Sample Size Calculation
- 3Correlation, Regression Analysis, & Intermediate Data Cleaning
- 4Multivariate Analysis, Logistic Regression, & Handling Missing Data
Not Sure Where to Start?
Assess your team's experience levels and exact training needs with a customized consultation.
- Level Recommendations
- Customized Proposals
- Flexible Scheduling