Statistical Analysis
What We Offer
Full SAP development aligned with protocols, CRFs, and ICH guidelines
Definition of statistical methods, endpoints, and populations
Mock tables, listings, and figures (TLFs)
Interim analysis and data monitoring plans
Collaboration with statisticians, clinical teams, and regulators
Why It Matters
Ensures consistency and transparency in data analysis
Meets regulatory expectations from FDA, EMA, and global authorities
Supports clean, auditable submissions and reduces review queries
Minimizes bias by pre-specifying analysis methods
Our Edge
Experienced biostatistics writers with deep clinical trial expertise
Skilled in regulatory, observational, and exploratory study designs
SAPs tailored to your protocol, objectives, and statistical framework
Available as a standalone service or integrated with protocol and CSR development
What We Offer
Full SAR development based on SAP and trial protocol specifications
Interpretation of statistical methods, results, and conclusions
Detailed analysis of safety and efficacy data
Collaboration with statisticians, clinical teams, and medical writers
Why It Matters
Ensures regulatory compliance for trial submission and reporting
Strengthens the credibility of clinical trial results
Provides transparency in statistical methodology and findings
Facilitates clear communication with regulatory agencies and stakeholders
Our Edge
Expert biostatisticians with deep experience in clinical trial data interpretation
Skilled in clear and concise reporting for both regulatory agencies and internal stakeholders
Comprehensive knowledge of global regulatory expectations and standards
Available for full SAR development or amendments based on new or interim data
What We Offer
Comprehensive sample size calculations for randomized controlled trials, observational studies, and more
Power analysis based on study design, endpoints, and statistical models
Calculations for varying study designs (e.g., parallel, crossover, multi-center)
Incorporation of variability estimates and assumptions for realistic power projections
Why It Matters
Ensures statistical power to detect clinically meaningful differences
Optimizes resource allocation by avoiding overpowered or underpowered trials
Supports regulatory submissions by demonstrating study feasibility
Strengthens the credibility of study findings and decision-making
Our Edge
Expertise in statistical modeling and power analysis for diverse study designs
Experience with clinical, preclinical, and observational trials across various therapeutic areas
Knowledge of regulatory guidelines for sample size calculations (FDA, EMA, ICH)
Seamless integration with protocol writing, SAP development, and statistical analysis
Protocol Statistical Consideration
Robust methodology. Defensible assumptions. Data-driven confidence.
What We Offer
Statistical design & sample size calculations
Endpoint hierarchy & multiplicity adjustments
Randomization/stratification strategies
Interim analysis & missing data planning
Why It Matters
Ensures valid, interpretable outcomes
Minimizes underpowered designs
Supports regulatory acceptance
Reduces protocol amendments
Our Edge
Biostatistical & therapeutic expertise
Regulatory-aligned methodology
Operational practicality balance
Why Choose MEDSYNC
Comprehensive Expertise
Specialists across medical writing, regulatory affairs, statistical analysis, clinical research communications, and healthcare advocacy.
Therapeutic Area Specialization
Regulatory & Ethical Excellence
Full compliance with GPP4, ICH guidelines, GDPR, and regional requirements.
Global Experience, Regional Insight
Proven Track Record
350 published manuscripts, 150 advisory boards, 55 statistical projects, 50 regulatory deliverables.
Quality-First Approach
Rigorous quality control, publication standards, and measurable impact.