Biostatistics

Designs, analyses, and submission-ready evidence aligned with ICH, FDA, and EMA guidance.

Strategic Biostatistics for Confident Decisions

Magnus CRO provides end-to-end biostatistics leadership—from early design and estimand strategy to validated deliverables ready for regulatory submission. We combine rigorous methodology, clear communication, and audit-ready documentation.

Study Design & Estimands

  • Endpoint strategy & estimands: Define population, variable, intercurrent event handling (treatment policy, hypothetical), and summary measure.
  • Design selection: Parallel-group, crossover, adaptive, enrichment, non-inferiority/equivalence.
  • Sample size & power: Assumption setting, sensitivity analyses, and attrition modeling.
  • Randomization: Stratification factors, block sizes, and IxRS/RTSM specifications.

SAP Authoring & Standards

  • Comprehensive Statistical Analysis Plan (SAP) with shell tables/listings/figures, analysis populations, and algorithmic rules.
  • Missing data strategy (MMRM, MI, tipping point), sensitivity analyses, and protocol deviations handling.
  • Multiplicity control (gatekeeping, Holm/Hochberg, alpha spending) aligned to objectives and endpoints.
  • CDISC-compliant specs (SDTM/ADaM) and traceability definitions.

Interim & Final Analyses

  • Interim monitoring: Boundaries via group sequential or alpha spending (O’Brien–Fleming, Pocock), DMC charters, and unblinded workflows.
  • Efficacy & safety: Time-to-event, mixed models, generalized linear models, repeated measures, and nonparametric methods as needed.
  • Subgroup & sensitivity: Pre-specified subgroup interaction, robustness checks, and tipping point assessments.
  • CSR support: Narrative guidance, integration with clinical sections, and result interpretation.

Deliverables & Traceability

  • ADaM datasets with end-to-end derivation rules and reviewer guides.
  • TLFs (tables, listings, figures) aligned to SAP shells and submission standards.
  • Data Reviewer’s Guide (ADRG) and Define-XML package with clear lineage from SDTM.
  • Regulatory Q&A support and responses to information requests.

Quality, Tools & Communication

  • Double programming & QC for critical outputs; validation checks and issue logs.
  • Tooling: R/SAS for analysis and graphics; version-controlled pipelines and reproducible scripts.
  • Transparent communication: Statistical notes, read-outs, and slide decks for governance forums.

Plan Your Next Study with Confidence

Engage our biostatistics team to shape estimands, author SAPs, and deliver submission-ready analyses and TLFs.

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