SAS in Clinical trials:

-
Clinical trials:

Clinical Trails

Clinical Trials Terminology for SAS Programmers

A Simple Solution for Managing the Validation of SAS Programs

Electronic Clinical Data Capture

Pharmaceutical Programming: From CRFs to Tables, Listings and Graphs

SAS Programming in the Pharmaceutical Industry

SASâ Programming Career Choices In The Health Care Industry

Some Statistical Programming Considerations for e-Submission

The Changing Nature of SAS Programming in the Pharmaceuticals Industry

Managing Clinical Trials Data using SAS® Software

Quality Control and Quality Assurance in Clinical Research: SAS

CDISC:

An Introduction to CDISC:

CDISC: Why SAS® Programmers Need to Know

CDISC Implementation Step by Step: A Real World Example

CDISC standards

Supporting the CDISC standards

How to test CDISC Operation data Model (ODM) in SAS

The Use of CDISC Standards in SAS from Data Capture to Reporting

Clinical Data Model and FDA/CDISC Submissions

Creating Case Report Tabulations (CRTs) for an NDA Electronic Submission to the FDA

SDTM-annotated CRFs

Data Integrity through DEFINE.PDF and DEFINE.XML

SAS® and the CDISC (Clinical Data Interchange Standards Consortium)

Implementing an Audit Trail within a Clinical Reporting Tool

The CDISC ODM Study Designer :User Manual

XML Basics for SAS Programmers



Annotation of CRFs:

Trial eCRF Pages

Using SAS to Speed up Annotating Case Report Forms in PDF Format

ANNOTATED CASE REPORT FORM AUTOMATION SYSTEM

Annotated CRF 1: Download(CTN0008_SDTM_annotation_20070413.pdf - 2179Kb) Annotated CRF 2: Download(CTN001_SDTM_ANNOTATION_20070330.pdf - 564Kb) Annotated CRF 3: Download(CTN002_SDTM_ANNOTATION_20070403.pdf - 560Kb)
Study Protocol 1: Download
(NIDA-CTN-0001_Bup_Nx_vs_Clonidine_Inpatient_Protocol_v.5b_112700.pdf - 192Kb)

Comments

  1. Eager2LearnJanuary 17, 2009 at 8:52 PM

    I have read the SAS Programming in Pharma Industry and that really helped me a lot to get a clear picture about the place of a SAS Programmer in Pharma world.
    In fact all the topics are amazing and an excellent source for providing deep knowledge in the respective topics.I have a long way to read almost all of these.

    ReplyDelete
  2. SAS Training IndiaMay 29, 2013 at 2:25 AM

    Clinical SAS programming has a lead role in SAS industry and taking into consideration all it's points in details,it's really a vast source to know more about Clinical trials,it's different phases etc.

    ReplyDelete
  3. Sas Online Training HyderabadJanuary 28, 2014 at 9:47 AM

    it 's very interesting to know all sas clinical trails

    ReplyDelete
  4. MelisaNovember 19, 2015 at 4:38 AM


    Thanks for sharing this pretty post to our knowledge, SAS is a program that assists to retrieve, managing and uploading the data & simply it’s an integration system of software for performing these actions, thanks for taking your time to discuss about this topic.
    Regards,
    sas training in Chennai|sas course in Chennai

    ReplyDelete

Post a Comment

Popular posts from this blog

SAS Interview Questions and Answers: CDISC, SDTM and ADAM etc

-
1) What do you know about CDISC and its standards? CDISC stands for Clinical Data Interchange Standards Consortium and it is developed keeping in mind to bring great deal of efficiency in the entire drug development process. CDISC brings efficiency to the entire drug development process by improving the data quality and speed-up the whole drug development process and to do that CDISC developed a series of standards, which include Operation data Model (ODM), Study data Tabulation Model (SDTM) and the Analysis Data Model ADaM ). 2) Why people these days are more talking about CDSIC and what advantages it brings to the Pharmaceutical Industry? A) Generally speaking, Only about 30% of programming time is used to generate statistical results with SAS®, and the rest of programming time is used to familiarize data structure, check data accuracy, and tabulate/list raw data and statistical results into certain formats. This non-statistical programming time will be significantly reduced...
Read more

Comparing Two Methods for Removing Formats and Informats in SAS: DATA Step vs. PROC DATASETS

-
Comparing Two Approaches to Removing Formats and Informats in SAS Comparing Two Approaches to Removing Formats and Informats in SAS When working with SAS datasets, there are times when you need to remove formats and informats that have been previously assigned to variables. Two primary approaches can be used for this task: Using the DATA Step Using the PROC DATASETS Procedure This article compares and contrasts these two approaches to help you determine which method is most appropriate for your needs. Approach 1: Using the DATA Step The DATA step is a versatile and commonly used method for removing formats and informats. By assigning variables to a null format or informat, you can effectively remove these attributes from your dataset. Example: data mydata_clean; set mydata; format _all_; informat _all_; run; In this example, the mydata dataset is processed in the DATA step, and...
Read more

Studyday calculation ( --DY Variable in SDTM)

-
USE OF THE “STUDY DAY” VARIABLES The permissible Study Day variables (--DY, --STDY, and --ENDY) describe the relative day of the observation starting with the reference date as Day 1. They are determined by comparing the date portion of the respective date/time variables (--DTC, --STDTC, and --ENDTC) to the date portion of the Subject Reference Start Date (RFSTDTC from the Demographics domain). The Subject Reference Start Date (RFSTDTC) is designated as Study Day 1. The Study Day value is incremented by 1 for each date following RFSTDTC. Dates prior to RFSTDTC are decremented by 1, with the date preceding RFSTDTC designated as Study Day -1 (there is no Study Day 0). This algorithm for determining Study Day is consistent with how people typically describe sequential days relative to a fixed reference point, but creates problems if used for mathematical calculations because it does not allow for a Day 0. As such, Study Day is not suited for use in subsequent numerical computations...
Read more