Study Design & Methods
Research questions, study design, variable selection, sample-size and power calculations, statistical methods, and analysis planning.
Methodologically careful, publication-oriented support for investigators, clinicians, research groups and healthcare organizations—from study design and data review to statistical analysis and manuscript-ready results.
Services are scoped to the needs of each study rather than sold as generic “data analysis.”
Research questions, study design, variable selection, sample-size and power calculations, statistical methods, and analysis planning.
Questionnaire development and review, question and response-option design, data-collection planning, and methodological guidance for effective data collection.
Dataset organization, coding checks, duplicate and missing-data review, data validation, and preparation of analysis-ready data.
Descriptive and inferential statistics, group comparisons, association and correlation analyses, and regression modeling.
Methods-section support, clear statistical tables, manuscript-ready Results sections, concise interpretation, and support responding to reviewer comments.
Independent review of study design, analytical approach, consistency between analyses and reported results, interpretation of findings, and clarity and completeness of research reporting.
Sangasara Research & Analytics provides epidemiology and biostatistics consulting for health, clinical, epidemiological, and population-health research. Support includes study design, epidemiological methods, data analysis, interpretation of results, and manuscript development, with an emphasis on methodologically sound and publication-ready research.
The goal is not to produce statistical output for its own sake. Each engagement is built around a defensible analytical approach, transparent reporting and results that investigators can confidently use in manuscripts, reports and presentations.
Examples are presented in anonymized form to protect research and client confidentiality.
Analysis of long-term clinical and cardiovascular trends in a hospital-based patient dataset.
Analysis of questionnaire-based awareness data among early-career dental professionals.
End-to-end support for investigators who have collected data but need a defensible statistical workflow.
Support is available for independent projects, secondary analyses, manuscript-related statistical work, and collaborative research assignments.
A useful first message includes the study objectives, study design, approximate sample size, current stage of the study, expected deliverables, and desired timeline.