CLINICAL SAS Programming The Simplest Guide *SAS Clinical
CLINICAL SAS Programming The Simplest Guide *SAS Clinical, available at $64.99, has an average rating of 3.85, with 38 lectures, based on 52 reviews, and has 802 subscribers.
You will learn about Clinical Data Management Concepts This course is ideal for individuals who are Anyone interested in SAS Clinical Data It is particularly useful for Anyone interested in SAS Clinical Data.
Enroll now: CLINICAL SAS Programming The Simplest Guide *SAS Clinical
Summary
Title: CLINICAL SAS Programming The Simplest Guide *SAS Clinical
Price: $64.99
Average Rating: 3.85
Number of Lectures: 38
Number of Published Lectures: 38
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: $69.99
Quality Status: approved
Status: Live
What You Will Learn
- Clinical Data Management Concepts
Who Should Attend
- Anyone interested in SAS Clinical Data
Target Audiences
- Anyone interested in SAS Clinical Data
What is Clinical Data?
Clinical data is a staple resource for most health and medical research. Clinical data is either collected during the course of ongoing patient care or as part of a formal clinical trial program. Clinical data falls into six major types:
•Electronic health records.
•Administrative Data
•Claims Data
•Patient/Disease Registries
•Health Surveys
•Clinical trials Data
Electronic Health Record
The purest type of electronic clinical data which is obtained at the point of care at a
medical facility, hospital, clinic or practice.
Often referred to as the electronic medical record (EMR), the EMR is generally not available to outside researchers. The data collected includes administrative and demographic information, diagnosis, treatment, prescription drugs, laboratory tests, physiologic monitoring data, hospitalization, patient insurance, etc.
Administrative Data
These types of data are associated with electronic health records, which are primarily hospital discharge data reported to a government agency like AHRQ.
Claims Data
Claims data describe the billable interactions (insurance claims) between insured patients and the healthcare delivery system. Claims data falls into four general categories: inpatient, outpatient, pharmacy, and enrolment. The sources of claims data can be obtained from the government (e.g., Medicare) and/or commercial health firms (e.g., United HealthCare).
Patient / Disease Registries
Disease registries are clinical information systems that track a narrow range of key data for
certain chronic conditions such as Alzheimer’s Disease, cancer, diabetes, heart disease,
and asthma. Registries often provide critical information for managing patient conditions.
Health Surveys
In order to provide an accurate evaluation of the population health, national surveys of the
most common chronic conditions are generally conducted to provide prevalence estimates.
National surveys are one of the few types of data collected specifically for research purposes,
thus making it more widely accessible.
Clinical Trials Registries and Databases
What is Clinical Data Management?
Clinical Data Management is the process of handling data from clinical trials. The inherent goal of any clinical data management system is to produce and maintain quality data. Clinical data management is a critical process in clinical research, which leads to the generation of high-quality, reliable, and statistically sound data from clinical trials. Clinical data management ensures the collection, integration, and availability of data at appropriate quality and cost.
Course Curriculum
Chapter 1: Introduction to Clinical Data Management
Lecture 1: What is Clinical Data Management
Lecture 2: [STUDY NOTE] What is Clinical Data Management
Lecture 3: What is Clinical Data
Lecture 4: [STUDY NOTE] What is Clinical Data
Lecture 5: Clinical Data Management Activities
Lecture 6: [STUDY NOTE] Clinical Data Management Activities
Chapter 2: Clinical Data Management using SAS – SAS ESSENTIALS
Lecture 1: The SAS Programming Process
Lecture 2: [STUDY NOTE] The SAS Programming Process
Chapter 3: Clinical Data Management using SAS – Accessing Data
Lecture 1: Accessing Clinical Data
Lecture 2: [CODE] Accessing Clinical Data
Chapter 4: Clinical Data Management using SAS – Exploring and Validating Data
Lecture 1: Exploring data
Lecture 2: [CODE] Exploring Data
Lecture 3: Filtering Rows
Lecture 4: [CODE] Filtering Rows
Lecture 5: Formatting Columns
Lecture 6: [CODE] Formatting Columns
Lecture 7: Sorting Data and Removing Duplicates
Lecture 8: [CODE] Sorting Data and Removing Duplicates
Lecture 9: [CODE] FULL CHAPTER CODE AT A GLANCE
Chapter 5: Clinical Data Management using SAS – Preparing Data
Lecture 1: Computing New Columns
Lecture 2: [CODE] Computing New Columns
Lecture 3: Conditional Processing
Lecture 4: [CODE] Conditional Processing
Lecture 5: Accumulating Variable
Lecture 6: [CODE] Accumulating Variable
Lecture 7: Summarizing Clinical Data
Lecture 8: [CODE] Summarizing Clinical Data
Lecture 9: Converting variable Data types
Lecture 10: [CODE] Converting variable Data Types
Lecture 11: Merging and Concatenation of Datasets
Lecture 12: [CODE] Merging and Concatenation of Datasets
Lecture 13: [DATA SET] DOWNLOAD THE DATA SETS USED
Chapter 6: Clinical Data Management using SAS – Analyzing and Reporting on Data
Lecture 1: Enhancing Reports with Titles, Footnotes, and Labels
Lecture 2: [CODE] Enhancing Reports with Titles, Footnotes, and Labels
Lecture 3: [DATA SET] DOWNLOAD THE DATA SET
Lecture 4: Creating Frequency Reports
Lecture 5: [CODE] Creating Frequency Reports
Lecture 6: [DATA SET] DOWNLOAD THE DATA SET USED
Instructors
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Rating Distribution
- 1 stars: 7 votes
- 2 stars: 2 votes
- 3 stars: 9 votes
- 4 stars: 12 votes
- 5 stars: 22 votes
Frequently Asked Questions
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