Tailored data management, statistics, and software for clinical and academic research in the health and social sciences. From study design and data collection to analysis and publication.
Good research needs more than an analysis. We connect study design, data, and technology to support the whole journey.
Build a clear, defensible study from the start. We help define research questions, choose study designs, develop protocols, and plan sample size and statistical power.
Cohort, case-control, cross-sectional, and randomized study designs; questionnaire development and sampling strategies.
Collect reliable data with custom systems and REDCap projects, then build documented, analysis-ready datasets. We design databases and support data cleaning, validation, and quality control.
REDCap project setup, forms and surveys, branching logic, and longitudinal workflows; electronic data capture, missing-data assessment, consistency checks, preprocessing, and metadata documentation.
Answer clinical, epidemiological, and health economic questions with methods that fit the research objective. We connect analytical rigor with clear interpretation.
Survival analysis, incidence and prevalence, observational causal inference, cost-effectiveness, budget impact, and Bayesian methods.
Make analytical work reproducible and research workflows more efficient with custom software, automated pipelines, and interactive dashboards.
Automate data import, cleaning, analysis, and reporting; build research tools and dashboards around the way your team works.
Explore patterns in structured and unstructured research data. We develop and evaluate predictive models with attention to validation, interpretation, and the intended use.
Text analysis for notes and survey responses, model tuning and evaluation, and deep learning approaches for research applications.
Turn analytical outputs into results people can understand and use. We support scientific manuscripts, publication-quality visualizations, and practical training for research teams.
Journal-ready tables and figures, interpretation of findings and limitations, and workshops tailored to your team.
REDCap services that connect study design, day-to-day data collection, and analysis. We help research teams set up, improve, and manage projects with practical support throughout the study.
Custom forms and surveys, branching logic, calculated fields, automated alerts, and longitudinal events.
Validation checks, data migration, API integrations, and exports that connect collection to your analytical workflow.
Team training, project optimization, troubleshooting, and configuration of user roles and access permissions.
A clear thread from your research question to a result you can explain, reproduce, and build on.
Define the objective, understand the context, and agree on what a useful result looks like.
Design data collection around the study objectives, configure practical collection tools, and structure the data and analytical plan with assumptions made explicit.
Connect methods to meaning through clear outputs and a transparent account of limitations.
Palitra Ltd. provides data management and data science solutions for the health and social sciences, bringing together statistical methods, epidemiology, REDCap expertise, and software development.
From the first research question to the final result, we connect methodological thinking with the practical tools that make research work.
Stronger clinical and academic research through reliable, tailored data solutions.
We shape the work around your research questions, context, and team.
Transparent methods, explicit assumptions, and results you can explain.
Reproducible workflows that research teams can use, maintain, and build on.
Study design, analytical methods, and publication support across health and social research.
Data collection, management, and statistical programming for clinical studies.
Real-world evidence, epidemiological analyses, and health outcomes research.
Survey research, program evaluation, and evidence to inform policies and initiatives.
Have a research question, a data challenge, or a project in mind? Tell us what you are working on. We’d be happy to hear from you.