Predictive Modelling in Clinical SAS

1. PREDICTIVE MODELING IN CLINICAL SAS ADAPTING FOR THE FUTURE OF HEALTHCARE clinilaunchresearch.in +91 9148711600

2. WHAT IS PREDICTIVE MODELING? • Understanding the foundation: • Using past data to forecast future healthcare outcomes and patient risks often with the help of math or computer models.​ clinilaunchresearch.in +91 9148711600

3. WHY SAS IN THE CLINICAL SPACE? • THE "GOLD STANDARD" • ROBUST DATA HANDLING • SAS is the long-standing leader in clinical trial data analysis, known for its validation, reliability, and widespread regulatory acceptance by bodies like the FDA. • 2. Natively handles complex, large-scale healthcare datasets, from patient records (EHRs) to genomic data, with powerful and auditable data manipulation. clinilaunchresearch.in +91 9148711600

4. REAL-WORLD APPLICATIONS • PATIENT RISK STRATIFICATION • PERSONALIZED MEDICINE • Identifying high-risk patients for early intervention and preventive care. • Modeling treatment efficacy based on patient-specific data, including genomics. • CLINICAL TRIAL OPTIMIZATION • RESOURCE ALLOCATION • Predicting patient recruitment rates and modeling trial dropouts to improve study design. • Forecasting hospital admission, bed occupancy, staffing needs . clinilaunchresearch.in +91 9148711600

5. CORE PREDICTIVE MODELS IN SAS • SURVIVAL ANALYSIS • LOGISTIC REGRESSION • DECISION TREES • Modeling time-to-event data (e.g., patient survival). • Key procedures: `PROC PHREG` and `PROC LIFETEST`. • The workhorse for binary outcomes (e.g., disease presence/absence). Handled by `PROC LOGISTIC`. • Visualizing decision pathways for clinical support. Implemented via `PROC HPSPLIT`. clinilaunchresearch.in +91 9148711600

6. SAS's new platform, Viya, is cloud-native and built for AI-driven analytics. • It integrates open-source (Python, R) directly within the SAS environment, allowing teams to collaborate. • THE ADAPTATION ENGINE: SAS VIYA • Enables scalable machine learning (e.g., Random Forests, Gradient Boosting) on massive clinical datasets. • Key for real-time analytics and AI with governance. clinilaunchresearch.in +91 9148711600

7. MODEL ADAPTABILITY: A COMPARISON Predicts binary outcomes using a logistic function.​ Splits data based on features to make predictions. Combines multiple decision trees for better accuracy. Builds models sequentially to correct errors and improve predictions.​ clinilaunchresearch.in +91 9148711600

8. THE FUTURE IS PREDICTIVE The fusion of SAS's reliability with AI/ML is no longer an option—it's the new standard for advancing healthcare. Master this evolution. Enroll in AI & ML at Clinilaunch Institute. clinilaunchresearch.in +91 9148711600