# SHRP 330 — Analysis & Report. of Large Cl. Data (AUB)

> SHRP 330 Analysis & Report. of Large Cl. Data at American University of Beirut. no student contributions yet.

Source: https://studiety.com/aub/course/1932
Retrieved: 2026-09-17

## Facts

- Course code: SHRP 330
- Title: Analysis & Report. of Large Cl. Data
- University: American University of Beirut (AUB)
- Subject: SHARP
- Department: SHARP
- Faculty: Faculty of Medicine
- Credits: 2

## Catalogue description

This course will put into practice the statistical analysis and other computing skills introduced to scholars in EPHD 300/SHRP 300, EPHD 310/SHRP 310 and SHRP 325. The training format is a mixture of demonstrations, hands-on exercises, and clinical scenarios. The course will simulate previously executed/ published analyses on previously collected de-identified health research datasets. Scholars will go through the entire process experience of data handling, hypothesis-driven analysis design and culminate in the execution of statistical analysis (modeling) and presentation of results. In addition, this course will use existing datasets to familiarize scholars with commonly used health data analysis methods including survival analysis methodology and Cox regression multivariate modeling of survival data, and finally introduce propensity score approaches for risk-adjustment.

## Quick answers

### What is SHRP 330 at AUB?

SHRP 330 Analysis & Report. of Large Cl. Data is a 2-credit course at American University of Beirut (AUB), in the Faculty of Medicine. This course will put into practice the statistical analysis and other computing skills introduced to scholars in EPHD 300/SHRP 300, EPHD 310/SHRP 310 and SHRP 325. The training format is a mixture of demonstrations, hands-on exercises, and clinical scenarios.

### How many credits is SHRP 330?

SHRP 330 Analysis & Report. of Large Cl. Data is worth 2 credits at AUB.

## See also

- [All SHARP courses at AUB](https://studiety.com/aub/subject/sharp.md)
- [Every AUB subject](https://studiety.com/aub/subjects.md)

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