CIMRQ LTDA

Supporting clinical researchers and institutions with rigorous methodology, advanced statistical analysis, and transparent reporting.

The CIMRQ emblem is inspired by the Simurgh, a symbol of accumulated wisdom in Persian tradition. The image reflects CIMRQ’s commitment to rigorous knowledge, methodological depth, and the responsible application of evidence in clinical research.

Logo adapted from a Sassanid era silver plate with Simurgh figure from 7th or 8th-century C.E.

Our Services

Scientific Publication & Reporting Support

Services include:

  • Manuscript drafting (original research, reviews, case series)

  • Methodological and statistical review of drafts

  • Transparent reporting optimization (CONSORT, STROBE, PRISMA alignment)

  • Structured response-to-reviewer preparation

  • Critical appraisal prior to journal submission

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Independent Evidence Evaluation

Services include:

  • Full clinical protocol drafting and methodological review

  • Ethical submission documentation

  • Cross-jurisdictional guideline comparison and harmonization

  • Regulatory-oriented methodological evaluation

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Protocol Development & Regulatory Alignment

Services include:

  • Independent evaluation of published or unpublished studies

  • Identification of statistical and inferential limitations

  • Guideline discrepancy analysis

  • Reproducibility and bias assessment

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Statistical Modeling & Data Interpretation

Services include:

  • Advanced statistical modeling

  • Bayesian inference for small or heterogeneous samples

  • Survival and time-to-event analysis

  • Comparative effectiveness evaluation

  • Sensitivity and robustness analyses

  • Critical interpretation of statistical outputs within clinical context

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Research Design & Methodological Architecture

Services include:

  • Study design development (observational, interventional, translational)

  • Definition and refinement of primary and secondary endpoints

  • Sample size strategy and power considerations

  • Development of Statistical Analysis Plans (SAPs)

  • Integration of Bayesian and advanced modeling frameworks where appropriate

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