237 habilidades
Patient Preference Research: Discrete choice experiments, conjoint analysis, patient-reported outcome measures, quality of life a...
Systematic Intervention Design: Theory-based intervention development, logic model construction, implementation barrier assessment, ...
EMA-HMA AI Workplan 2025-2028: Comprehensive understanding of the EMA-HMA joint AI Workplan 2025-2028 including its four strategic ...
Global Health System Variations: Healthcare delivery models across developed markets (US, EU, Japan), emerging economies (China, Indi...
Pandemic Preparedness and Response: AI-enhanced epidemic detection and response coordination, predictive modeling for global health emer...
National Surveillance System Coordination: Integration with national adverse event monitoring systems, public health emergency response coordin...
Global Health Impact Measurement: AI-enhanced measurement of pharmaceutical contributions to global health outcomes, automated assessm...
Global Health Security: Contributing to pandemic preparedness initiatives, supporting international health emergency respons...
Evidence-Based Intervention Design: Systematic review of intervention effectiveness, meta-analysis of risk reduction outcomes, pragmatic...
EHDS and DARWIN EU Integration: Understanding of European Health Data Space (EHDS) framework and its integration with pharmacovigila...
Commercial and Proprietary Databases: Familiarity with specialty databases including drug safety databases, epidemiological data sources, ...
Environmental epidemiology study design patterns. Use when designing time series studies, case-crossover analyses, or planning exposure assessment strategies.
Standards for sensitivity analyses in DLNM studies. Use when varying degrees of freedom, maximum lags, confounding adjustments, or performing subgroup analyses.
Attributable fraction and attributable number calculations for DLNMs. Use when computing health burden, using attrdl(), or running Monte Carlo simulations for CIs.
Standards for controlling time-varying confounders in environmental time series studies. Use when adjusting for trends, seasonality, temperature, or calendar effects.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
Builds complete systematic review protocols ready for PROSPERO registration. Guides users through all mandatory fields, generates PRISMA-P compliant documentation, and supports both systematic reviews (PICO) and scoping reviews (PCC/PRISMA-ScR). Use after formulating a research question with the research-question skill.
PRISMA 2020 systematic review protocol with database search strategy and bias assessment
Cross-sectional study design with sampling strategy, prevalence calculation, and STROBE checklist
Oxford CEBM levels of evidence, GRADE certainty ratings, mapping between systems, traditional evidence hierarchies, and their limitations
Statistical hypothesis testing framework including null and alternative hypotheses, error types, p-value interpretation, confidence intervals, parametric and non-parametric test selection, and one-sided vs two-sided testing.
Meta-analysis protocol with effect size calculation, heterogeneity analysis, and GRADE assessment
Prospective and retrospective cohort study design with STROBE checklist and confounding control
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Study-type module for dose-response meta-analyses. Provides section-by-section guidance for modelling non-linear exposure-outcome relationships using restricted cubic splines, Greenland and Longnecker trend estimation, and two-stage pooling. Follows PRISMA 2020 with dose-response-specific extensions.
Public Health Infrastructure Integration: National disease surveillance systems, WHO Global Health Observatory networks, epidemic intelligence...