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CLINICAL DEVELOPMENT

Biostatistics

From study design and adaptive methods to PK/PD analytics, DSMB support, and CSR outputs, our biostatisticians deliver rigorous, submission-ready analyses across the clinical development lifecycle

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Clinical Trial
Our Approach

Biostatistics Built for Scientific Rigor and Regulatory Confidence

Biostatistics at IQA is not a downstream support function. It is a scientific partnership embedded from study design through final analysis and regulatory delivery. Our statisticians support clinical, medical device, and evidence-generation programs with the rigor needed for confident development decisions and submission-ready outputs.

We work across nonclinical and clinical development, Phase I–IV studies, BA/BE, medical devices, RWE/observational research, HEOR, epidemiology, IITs, and retrospective studies. From estimand strategy and adaptive design simulation to SAP development, DSMB/DMC support, and integrated CSR outputs, we deliver analysis that is scientifically robust, operationally aligned, and regulator ready.

Study Domain Coverage

Preclinical / Nonclinical
Phase I–IV Trials
Medical Devices / IVD
BA / BE Studies
RWE & Observational
Epidemiology
IIT & Academic Trials
CORE CAPABILITIES

Biostatistics Support Across Design, Analysis, and Submission

From nonclinical studies and protocol design to analysis, governance, and regulatory submission support, our biostatistics team delivers connected statistical expertise across the product lifecycle.

Study Design & Protocol Statistics
Endpoint and estimand strategy
Protocol statistical input
Sample size and power
Randomization / blinding
Adaptive design / simulation
SAPs & Study Conduct Support
SAP development and amendments
Mock shells / TLF planning
Blinded data review
Interim analysis planning
Statistical support during conduct
Analysis & Interpretation
Efficacy and safety analyses
Sensitivity / subgroup analyses
PK/PD and exposure-response
Benefit-risk interpretation
Exploratory analyses
DMC / DSMB, RWE & Advanced Methods
DMC / DSMB support
Bayesian methods
Causal inference
Propensity / IPW
Meta-analysis / synthetic controls
RWE / HEOR / epidemiology analytics
Submission & Regulatory Support
CSR statistical sections
ISS / ISE
Regulatory responses
Advisory committee / briefing support
Submission-ready outputs
Nonclinical & Early Development
Nonclinical study support
Toxicology / PK/TK analyses
Early-phase strategy
Dose escalation / FIH input
TOOLS & STANDARDS

Statistical Tools and Standards Built for Submission-Ready Delivery

Our statisticians work in SAS, R, Python and Julia - with full audit trails, CDISC-compliant analysis datasets and reviewer-friendly TLF outputs that regulators can trace back to source data.

SAS
Primary analysis & regulatory submission output environment
R / R Shiny
Bayesian modelling, adaptive simulation, interactive outputs
Phoenix WinNonlin
PK/PD modelling, Noncompartmental Analysis (NCA) & exposure-response
Python
Machine learning, causal inference and advanced analytics
Julia
High-performance computing and dose-response modelling
Regulatory & Reporting Standards
ICH E9(R1)
Estimand frameworkIntercurrent eventsSensitivity analysesPopulation-level summary
ICH E9
Statistical principlesConfirmatory trialsMultiplicity controlMissing data
ICH E3
CSR structureStatistical sectionsEfficacy tablesSafety reporting
ALCOA++
AttributableLegibleContemporaneousOriginalAccurateComplete
CDISC
SDTMADaMDefine.xmlReviewer's GuideControlled terminology
WHY INDUCTIVE QUOTIENT

Biostatisticians Who Understand Your Program, Not Just Your Data

Scientific partnership, advanced methods, and submission-ready execution across clinical, device, and evidence-generation programs.

Full Spectrum Coverage

Across clinical trials, medical devices, BA/BE, RWE, HEOR, epidemiology, IITs, and retrospective studies, one biostatistics team supports the full development continuum.

Advanced Methods by Default

Bayesian, adaptive, PK/PD, causal inference, and fit-for-purpose synthetic or external control approaches are applied when they add real decision value.

Estimand-Driven from Protocol

We embed estimand thinking early in study design, aligned with ICH E9(R1), so analysis strategy is built in, not retrofitted later.

Audit-Ready, Reviewer-Friendly

Our outputs are designed for traceability, clarity, and regulatory review, with robust QC, CDISC-aligned thinking, and documentation that reviewers can navigate with confidence.

Integrated with Clinical & Data Teams

Biostatistics works in close coordination with programming, clinical operations, data management, medical writing, and pharmacovigilance to support connected delivery.

Regulatory-Ready Statistical Support

From protocol input and SAPs to CSR outputs, ISS/ISE, health authority responses, and advisory support, we deliver analyses built for submission and scientific defense.

What This Means for Your Program
Earlier Statistical Clarity
Stronger design, estimand, and analysis decisions from the start
Fit-for-Purpose Methods
Advanced methods applied when they improve decision quality and evidence strength
Submission-Ready Outputs
Analyses, documentation, and summaries built for regulatory review and defense
Reviewer-Friendly Traceability
Clear statistical logic, QC discipline, and outputs designed for efficient review
Integrated Delivery
Seamless coordination with programming, clinical, data management, and medical writing teams
Speak to a Biostatistician
GET STARTED

Need Statistical Expertise for Your Trial?

From study design consultation to DSMB support - our biostatisticians are ready to partner with you.