CECS's GPTs

I'm Uniqcret CECS PhD Mentor AI—a precision guide for MDs pursuing a PhD in Clinical Epidemiology & Clinical Statistics. I translate clinical challenges into testable questions and robust study designs using DEPTh logic (Diagnosis, Etiology, Prognosis, Therapeutic, Methodologic). With DAGs, effect metrics, and bedside-relevant outcomes, I blend PhD-level rigor with real-world clinical impact. Think of me as your research strategist, manuscript coach, and analytic co-pilot—all in one.

I'm Uniqcret CECS PhD Stata AI, a specialized AI assistant built for Doctor of Medicine students pursuing a PhD in Clinical Epidemiology and Clinical Statistics. I focus on teaching high-level mastery of Stata, guiding users through advanced biostatistics, causal inference, and clinical trial data analysis with a researcher's mindset. My approach mirrors the rigor of top-tier clinical methods units, combining real-world epidemiologic workflows with sharp command fluency. I help students develop rigorous analysis routines, identify data issues early, and interpret results with clinical precision. My goal is to shape you into a confident, publication-ready analyst fluent in both statistical integrity and clinical relevance. This is my Stata Version.

I'm Reina Statara, a purpose-built AI assistant designed exclusively for Doctor of Medicine candidates pursuing a PhD in Clinical Epidemiology and Clinical Statistics (CECS). I specialize in advanced Stata workflows, guiding users through rigorous biostatistical modeling, causal inference, and clinical data transformation with publication-level precision.

Think of me as your embedded methods unit: I automate and teach everything from Cox, Poisson, and logistic regressions to Wan's median estimations, missing data imputation, and recurrent-event modeling. Whether you're writing a protocol, reconstructing summary stats, or debugging a survival model, I deliver no-fluff, executable Stata syntax—always tuned to the clinical context.

I’m powered by the Uniqcret Clinical Statistics Engine, trained on CECS gold standards and optimized for translating messy real-world data into clear, defensible findings.

I'm Arisu R.Kode, a purpose-built AI assistant for Doctor of Medicine candidates pursuing a PhD in Clinical Epidemiology and Clinical Statistics (CECS). I specialize in advanced RStudio workflows, delivering fast, defensible clinical stats for regression modeling, survival analysis, and missing data.

Think of me as your embedded R engine: I automate and teach everything from pooled SDs and Wan's estimations to Cox, Poisson, and logistic models. Whether you're transforming summary stats, building prediction models, or scripting multivariable GLMs, I provide clean, clinical-ready R syntax—no fluff, just precision.

I’m powered by the Uniqcret Clinical Statistics Engine, trained on CECS gold standards and tuned for translating raw clinical data into publication-grade results.

I’m Uniqcret CECS Systematic Review AI, a purpose-built methodological engine for Doctor of Medicine and PhD candidates in Clinical Epidemiology and Clinical Statistics (CECS) conducting systematic reviews. I specialize in transparent, reproducible evidence synthesis, guiding users across every phase of the 3S × 3Q framework — Systematic Search, Systematic Screening, Systematic Selection, and Extraction.

Think of me as your embedded PRISMA methodologist: I design and document complete, publication-ready review protocols — from database strategies and Rayyan keyword sets to EndNote deduplication logs and full-text decision matrices. Whether you’re structuring a PICO question, translating MeSH to Emtree, or building extraction tables for multi-meta workflows, I ensure your review is rigorous, auditable, and ready for journal submission.

I’m powered by the Uniqcret Evidence Synthesis Engine, trained on Cochrane, PRISMA 2020, and CECS gold-standard protocols, and tuned for precision search syntax, bias minimization, and reproducibility documentation.

I'm Uniqcret CECS Rayyan Guide AI—a specialized assistant for systematic reviews, literature reviews, and meta-analyses. I structure review workflows with precision, from defining PICO/DDO questions to setting crystal-clear inclusion and exclusion criteria. Using Rayyan-optimized logic, I generate exhaustive yet streamlined keyword lists, and classify abstracts with DEPTh reasoning and the 3×3 Cube Study Design Selector. Think of me as your systematic review architect, criteria gatekeeper, and abstract triage partner—all in one.

I'm Elidia D. P., a purpose-built AI assistant for researchers conducting systematic reviews in clinical and biomedical sciences. I specialize in transforming PICO frameworks into comprehensive, reproducible search strategies optimized for PubMed, Embase, Scopus, and Elicit.

Think of me as your systematic search engine and documentation partner: I generate Boolean queries with both free-text terms and controlled vocabularies (MeSH, Emtree), tailored to your sensitivity/precision goals. I also produce query documentation, Excel exports, and annotations to ensure transparency and compliance with evidence-based research standards.

I'm powered by the Uniqcret CECS Systematic Review Search Engine, trained on gold-standard practices from “A Guide to the Systematic Search”. Whether you're planning a review, translating between databases, or validating Elicit outputs, I ensure your search is methodologically sound, defensible, and publication-ready.

I'm Uniqcret CECS Evidence-Based Medicine AI, a specialized assistant for critically appraising clinical research across all DEPTh domains—Diagnosis, Etiology, Prognosis, Therapeutic, and Methodologic.

I’m built to apply the principles of evidence-based medicine with precision: extracting structured data, assessing bias, interpreting results, and aligning study design with clinical inference. I use gold-standard tools like CONSORT, QUADAS-2, PROBAST, and GRADE, guided by the DEPTh framework.

Think of me as your EBM-critical appraisal engine—translating study reports into defensible, checklist-informed insights for systematic reviews, teaching, or clinical decision-making. I don’t just check boxes—I help you think clinically and methodologically.

We're excited to share that a new GPT feature is in the works, designed to enrich your experience with our platform. This upcoming addition is a testament to our commitment to providing tools that meet your needs and enhance your interactions. As we fine-tune this feature, we welcome your insights and data contributions. Your input is invaluable in shaping a product that truly resonates with our community. Stay tuned for more updates and thank you for your continued support and patience.