SJBSM Research Center
The San Juan Bautista School of Medicine is dedicated to fostering a culture of productive research. Our goal is to continue supporting our faculty and students in building a research workforce that advances the institution's agenda in promoting clinical and translational scientific discoveries and innovation
About Us
The SJBSM Research and Biostatistics Division was established within the SJBSM Research Center to enhance the quality and efficiency of both faculty-led/student research. Our mission is to provide expert consultation and practical tools that empower faculty and students to design rigorous studies, manage data responsibly, and produce publishable results. We support faculty and students at the San Juan Bautista School of Medicine.
Meet Our Team
Proposal Development & Publication
Estela S. Estape, MT, PhD, DHL
Professor
Director, SJBSM Research Center
Expertise:
- Clinical and Translational
- Research Proposal Design
- Faculty and Student Research Mentoring
- Career Development
- Scientific Writing and Publication Strategy.
Email: e_estape@sanjuanbautista.edu
Office Hours: Subject to Availability Online
Research Design, Data Management & Post-Award
Linda Pérez Laras, DrPH, MSc
Instructor
Principal Investigator
Assistant Director, SJBSM Research Center
Director, PRHJC Research Division
Expertise:
- Guidance in selecting appropriate study designs (cross-sectional, case-control, cohort) for student and faculty research projects.
- One-on-one and group mentoring on formulating research questions, defining variables, and developing protocols for research.
- Support in data analysis using STATA and Intellectus Statistics, including descriptive, bivariate, multivariate, and predictive modeling.
- Assistance with designing data collection instruments, coding variables, managing secure data entry, and preparing datasets for analysis.
- Consultation on budgeting, reporting, IRB compliance, and subaward coordination for funded research projects led by students or faculty.
- Expertise in designing and supervising studies involving sensitive topics such as gender-based violence and child sexual abuse.
Office Hours: Thursdays - Subject to Availability Online or Onsite
Advanced Statistical Methods & Modeling
Raymond L Tremblay, PhD
Professor
Senior Statistical Consultant
Expertise:
- Bivariate, Poisson, quantile, and multivariate regression analyses
- Advanced modeling (Poisson, binomial, gamma, beta, ordinal)
- Non-parametric and robust statistics for non-normal data
- Bayesian analysis
- Lifespan and survival analysis Likert scale interpretation
- Simulation techniques (e.g., Monte Carlo)
- Model selection and evaluation
- Data visualization for scientific presentations and manuscripts
Off-Campus
Office Hours: Subject to Availability Online
Our Services
Research Design:
- Hypothesis and aim development
- Study design (quantitative, qualitative, mixed methods)
- Power/sample size calculations and feasibility assessments
- Conceptual frameworks, logic models, and translational models
Data Management:
- REDCap setup and survey design support
- Data entry workflows, variable coding, and data dictionaries
- Secure storage solutions and data security compliance
- Data cleaning, validation, and organization for analysis
Grant & Proposal Consultation:
- Research methodology development
- Budget justification and statistical effort planning
- Specific aims and analytic narrative refinement
- Post-award consultations
- IRB regulatory compliance
Student Research Consultation:
- Research Design
- IRB protocol
- Data Management
- Statistical Analysis and Interpretation
- Data Visualization
Statistical Analysis & Modeling:
- Bivariate, multivariate, and regression analyses
- Advanced modeling (Poisson, binomial, gamma, beta, ordinal)
- Non-parametric and robust statistics for non-normal data
- Bayesian analysis, lifespan and survival analysis
- Likert scale interpretation and simulation techniques (e.g., Monte Carlo)
- Model selection and evaluation
- Data visualization for scientific presentations and manuscripts
Request Services
Faculty and eligible students are required to schedule an appointment for consultation, subject to availability.
Resources
- REDCap videos
- Sample Size Calculator
- STROBE and CONSORT checklists
Peer-review Journal Resources
- Find the right journal for your research
- Open Access Directory with no APC charges: https://doaj.org/
- Preprint Server for Health Sciences (Preprints are preliminary reports of work that have not been certified by peer review): https://www.medrxiv.org/
- Editing Services:
SJBSM does not offer editing services or provide funding for these types of services: https://www.cambridge.org/universitypress/author-services/services/editing/
Terms and Agreements
Acknowledgment for Consultations
- Requests involving funded projects require additional planning and meetings to define roles and commitments of effort.
- For student course-related projects, a faculty referral is required, and support will be provided through consultation only—team members will not perform data analysis, design, or any other project task.
- If any team member makes substantial contributions to the study design, statistical analysis, data interpretation, or manuscript writing, authorship should be considered and discussed per the ICMJE authorship guidelines. For minor consultation, acknowledgment may be more appropriate.
- The Research Center Research and Statistics Division reserves the right to determine the level of support offered based on faculty availability, alignment with the Research Center's mission, and project feasibility. Support is not guaranteed and may be deferred or declined when adequate information is not provided, timelines are not feasible, or ethical standards are in question.
FAQs
-
How do I get started?
- Reach out to the team members by email or phone to schedule a meeting for an initial consultation.
-
Who can request services from the Research Center?
- Our services are available to SJBSM faculty and students.
-
What types of research do you support?
- We support all types of health sciences research, including clinical, public health, epidemiological, educational, and community-based projects.
-
How early should I contact the team for support?
- We recommend contacting us at least 4–6 weeks before any submission deadline (e.g., IRB, grant, or abstract). Requests will be prioritized based on urgency, scope, and submission timeline. Early consultation increases the likelihood of full support.
-
Do you know if students can request help directly?
- Yes, with approval or endorsement from their faculty advisor or mentor.
-
Are student course-related projects eligible for research support?
- Projects conducted by students as part of a course (e.g., class assignments, research courses, or course-based dissertations) are eligible for consultation only. Research team members are not permitted to perform any part of the research project, including data analysis, study design, and data entry. Additionally, students must have a faculty referral or endorsement to request consultation. This restriction does not apply to faculty-led research projects that include student researchers, nor to research projects led by team members that engage student mentees.
-
Would you happen to provide support for publications?
- Yes. We assist with data analysis, interpretation, and the drafting or review of statistical sections in manuscripts.
-
What if my data contains errors or missing values?
- Our team provides support for data cleaning, validation, and handling missing data, including imputation and exclusion strategies.
-
Is there a cost for services?
- Services are provided at no cost for faculty and students affiliated with SJBSM. However, if a faculty member wishes to include research team members in a grant or funded proposal, the effort and funding must be planned accordingly. This requires additional meetings and consultation to define roles, time commitment, and budget allocations.
-
How is authorship determined for team members who support publications or grants?
- We follow the ICMJE authorship guidelines. If a team member makes substantial contributions to the study design, statistical analysis, data interpretation, or manuscript writing, authorship should be considered and discussed. For minor support, acknowledgment may be more appropriate.