DRE’s clinical and methodology experts create Statistical Evidence Synthesis analyses and plans at the inception of a project to determine the potential feasible scope of deliverables from a body of evidence. The Doctor Evidence team can guide or fully perform evidence-based systematic reviews, using rigorous methodologies supplemented by our powerful repository of transparent data and our versatile DOC Data solutions.

  • Statistical Analytical Plan: Work with our team to define in detail the principal features of an analysis, including study selection criteria, primary and secondary variables, statistical measures to be applied, etc.
  • Meta-Analysis: Assess the strength of evidence through analysis of a large collection of data from individual studies to determine an effect in a particular direction (Cohort Analysis) or to examine different results among studies (Comparative Effectiveness).
  • Network Meta-Analysis/Indirect Treatment Comparison: Compare the relative effectiveness of several interventions, products or treatments via statistical assessment of the available literature (Frequentist, Bayesian).
  • Epidemiological Analysis: Validate hypotheses about the natural history of a disease (incidence and prevalence); evaluate the burden or cost of illness and burden of a disease.
  • Multi- Criteria Decision Analysis:   Gain insights into a product’s efficacy, safety, impact on quality of life and functional status, dosing convenience, price, cost-effectiveness, and budget impact by performing a Multi-Criteria Decision Analysis.
  • Meta Regression: Identify which patient or study features are related to the size of treatment effect or explain the most heterogeneity across studies, while controlling for other important modifiers.
  • Risk Factor Analysis: Analyze which patient characteristics predict better or worse outcomes or which characteristics modify the effect of treatment.
  • Diagnostic Accuracy: Determine which diagnostic tests impact patient outcomes by appropriately defining the target condition and comparing randomized clinical trials to estimate clinical utility.