Saudi Society of Pharmacoeconomics & Outcomes Research
In collaboration with the ISPOR Saudi Arabia Chapter.
A three-day hands-on workshop bridging applied statistical methods with real-world decisions in pharmacoeconomics, outcomes research, and public health.
In collaboration with the ISPOR Saudi Arabia Chapter.
Thursday – Saturday · In-Person.
Riyadh, Kingdom of Saudi Arabia.
Per individual · Includes all materials, lunch & networking.
Participants are required to register for SAS OnDemand before the workshop. Detailed instructions will be shared upon registration.
Tailored for HEOR studies and local Health Technology Assessment (HTA) submissions in the Saudi context.
Apply each method within the framework of observational studies and Real-World Evidence (RWE) generated locally.
Inform value-based healthcare and formulary decisions using non-parametric techniques and appropriate GLM link functions.
Support evidence-based local public health policies through methods such as Propensity Score Matching.
Prof. Yazed Alruthia · Prof. Monira Alwahibi
Descriptive statistics, central tendency, normal vs. skewed distributions, and the framework of statistical inference within Health Technology Assessment (HTA).
1.5 HNavigating mock local insurance claims data importation & cleaning of a simulated Saudi insurance claims dataset.
2 HDr. Omar Almohammed · Prof. Abdullah Alsultan
T-tests, Analysis of Variance (ANOVA), Chi-square tests, and correlation. Limitations of bivariate analysis in healthcare evaluations and the need for multivariable models.
1.5 HEvaluating Quality of Life — comparative tests on EQ-5D scores between two antihypertensive treatments using mock local data. Draft a mock HTA clinical effectiveness summary.
2 HDr. Hadeel Alkofide · Prof. Abdullah Alsultan
Simple and multiple linear regression, OLS assumptions, logistic regression, odds ratios, and assessing model fit for clinical endpoints.
1.5 HPredicting Hospital Readmissions — building a logistic model to predict 30-day readmissions for heart-failure patients. Handle dummy variables and interpret coefficients to inform local hospital penalty policies.
2 HProf. Yazed Alruthia · Dr. Omar Almohammed
Time-to-event data and censoring, Kaplan-Meier survival curves, log-rank tests, and the Cox Proportional Hazards model as inputs for economic modeling.
1.5 HOncology Survival Modeling — analyzing a mock breast-cancer dataset to create and customize Kaplan-Meier plots. Run Cox regression models and extract hazard ratios for use in a cost-effectiveness model.
2 HProf. Yazed Alruthia · Prof. Bander Balkhi
Properties of healthcare cost data (heavy skewness, zero-inflation) and evaluating EQ-5D utility scores.
1.5 HCost Analysis Scenario - Generalized Linear Models (GLMs) with appropriate link functions (Gamma, Log). Apply GLMs to evaluate highly skewed cost data for a mock local formulary decision (in SAR).
1.5 HProf. Yazed Alruthia · Prof. Monira Alwahibi · Dr. Omar Almohammed
Hierarchy of evidence and limitations of observational data. Propensity Score Matching (PSM), and a bridging overview to advanced HEOR topics.
1.5 HSimulating a Comparative Effectiveness Study — calculating propensity scores via logistic regression to balance patient cohorts in an observational study comparing two costly biologic drugs.
1.5 HDescriptive statistics, central tendency, normal vs. skewed distributions, and the framework of statistical inference within Health Technology Assessment (HTA).
Navigating mock local insurance claims data importation & cleaning of a simulated Saudi insurance claims dataset.
T-tests, Analysis of Variance (ANOVA), Chi-square tests, and correlation. Limitations of bivariate analysis in healthcare evaluations and the need for multivariable models.
Evaluating Quality of Life — comparative tests on EQ-5D scores between two antihypertensive treatments using mock local data. Draft a mock HTA clinical effectiveness summary.
Simple and multiple linear regression, OLS assumptions, logistic regression, odds ratios, and assessing model fit for clinical endpoints.
Predicting Hospital Readmissions — building a logistic model to predict 30-day readmissions for heart-failure patients. Handle dummy variables and interpret coefficients to inform local hospital penalty policies.
Time-to-event data and censoring, Kaplan-Meier survival curves, log-rank tests, and the Cox Proportional Hazards model as inputs for economic modeling.
Oncology Survival Modeling — analyzing a mock breast-cancer dataset to create and customize Kaplan-Meier plots. Run Cox regression models and extract hazard ratios for use in a cost-effectiveness model.
Properties of healthcare cost data (heavy skewness, zero-inflation) and evaluating EQ-5D utility scores.
Cost Analysis Scenario - Generalized Linear Models (GLMs) with appropriate link functions (Gamma, Log). Apply GLMs to evaluate highly skewed cost data for a mock local formulary decision (in SAR).
Hierarchy of evidence and limitations of observational data. Propensity Score Matching (PSM), and a bridging overview to advanced HEOR topics.
Simulating a Comparative Effectiveness Study — calculating propensity scores via logistic regression to balance patient cohorts in an observational study comparing two costly biologic drugs.
Session 01 · Session 04 · Session 05 · Session 06
Session 01 · Session 06
Session 03
Session 02 · Session 03
Session 02 · Session 04 · Session 06
Session 05
Per individual · Inclusive of all sessions, materials, lunch & networking breaks.
Seats are limited and assigned on a first-come, first-served basis. The button below opens the registration destination encoded in the workshop booklet QR code.
Open Registration FormContact us. For questions about the workshop, registration, invoicing, or group bookings, reach out through the channels above. The workshop booklet states that the coordination team responds within one working day.