Research Design


From question to defensible study plan

We translate complex questions into robust study designs, selecting appropriate methodologies (quantitative, qualitative, or mixed methods), defining endpoints and outcomes, and setting a clear analysis plan providing practical, high-quality solutions that remain efficient and cost-effective for our partners.

Our Approach

First-round IRB/EC approval rate

Protocols approved within 4 weeks (from concept)

Study designs aligned with ICH-GCP & sponsor standards

Protocols needing amendments due to methodological issues

Medical Writing


Publication‑ready,reviewer‑friendly

Our writers and subject‑matter experts produce clear, compliant scientific, regulatory, and medical content, from protocols to manuscripts, documents and conference materials, aligned with leading standards.

What We Do

Statistical Analysis


From clean models to clear decisions

Kernel’s biostatisticians and analysts apply fit‑for‑purpose statistical methods to turn data into insights you can defend.

Comprehensive Analytical Approaches

Descriptive & inferential statistics (t tests, ANOVA, χ², non parametrics)

Regression modeling (linear/logistic, GLMs, mixed effects)

Time to event (survival) analysis, Kaplan–Meier, Cox models

Longitudinal measures and multilevel models

Causal inference (propensity score methods, DiD)

Statistical programming in R, Python, SAS, and Stata

Time series analysis and forecasting

Meta analysis (fixed/random effects)

Visualization & decision oriented reporting

Quantitative credibility indicators

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datasets analyzed across therapeutic, public health, and market domains

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advanced multivariate and survival models executed annually

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advanced multivariate and survival models executed annually

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Mean database lock (DBL) to final analysis report

0

No statistical deviations reported during independent re-analysis or audits

0

Statistical programming environments mastered (R, Python, SAS, Stata)

Training Courses


Build in‑house capability—fast

We deliver practical, certificate‑ready training for teams at all levels, combining theory with hands‑on exercises and real‑world assignments.

Core Training Programs

Research Methods & Study Design

Medical & Scientific Writing

Statistical Analysis (SAS/R/Python/Stata/SPSS)

Presentation & Data Visualization

Good Clinical Practice (GCP) Essentials

EndNote Essentials: Reference Management

Research Databases: PubMed, Embase, Cochrane

Protocol Design Masterclass (ICH E6/E8)

Clinical Trials Management

Informed Consent & Research Ethics

Site Feasibility & Selection

Patient Recruitment & Retention

On-Site & Remote Monitoring

Regulatory Binder & eTMF Essentials

Decentralized & Hybrid Trials

Observational Study Design

Public Health & Epidemiology Analytics

Pharmacoeconomics & HTA

Data Strategy & CDISC Standards

eSource/EDC & Instrument Design

Data Lifecycle & Quality

Regulatory Pathway & Strategy

Dossier Preparation & Submission

Labeling Review & Localization

Post-Market Safety & Performance

QMS Foundations for CROs

Document Control & Record Management

SOP Writing in Regulated Research

Quality Metrics & KPIs