med-stats-skills

Clinical trial data management, preparation, and analysis methodologies, with SOPs for interim analysis, cohort splitting, and exploratory data analysis. Includes real-world digital health trial examples. **Triggers**: "data preparation", "interim analysis", "cohort split", "clinical data management", "trial data analysis", "data source utility", "exploratory data analysis", "digital health trial" Provides comprehensive SOPs for managing clinical trial data, from source utility planning through interim analysis reporting, with examples from digital health remote monitoring trials (heart failure, cancer care).

Critical appraisal skills for assessing the quality and validity of clinical trial evidence using CASP (Critical Appraisal Skills Programme) checklists. **Triggers**: "assess trial quality", "critical appraisal", "CASP checklist", "evaluate clinical trial", "trial quality assessment", "evidence quality", "study appraisal", "systematic review quality" Provides standardized CASP checklists for evaluating different study designs (cohort studies, RCTs, systematic reviews), with questions covering validity, results interpretation, and applicability to clinical practice.

Predictive algorithm and index development methodology for medical applications, with step-by-step tutorial and real-world case study. **Triggers**: "build predictive model", "algorithm development", "predictive index", "develop algorithm", "model development", "COVID index", "predictive algorithm tutorial" Provides comprehensive methodology for developing predictive algorithms in healthcare, including problem definition, feature engineering, model selection, validation, and deployment considerations. Includes COVID-19 severity index case study.

Validation protocols and methodologies for medical algorithms and devices, with comprehensive examples from multiple domains. **Triggers**: "validate algorithm", "algorithm validation", "device validation", "validation protocol", "clinical validation", "performance metrics", "validation study", "medical device validation" Provides structured validation frameworks for medical algorithms (biovitals, ECG analysis, predictive models) and medical devices (wearables, monitors), including protocol templates, performance metrics, statistical analysis plans, and acceptance criteria.