Advanced Post Graduate Diploma in Clinical Data Management

Cliniminds
In Hyderabad

Price on request
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Important information

  • Post Graduate Diploma
  • Hyderabad
  • Duration:
    4 Months
Description

To provide a comprehensive introduction to the Clinical Data Management Biostatistics & SAS in Clinical Research. Understanding of key enterprise Data Management & SAS tools.

Important information
Venues

Where and when

Starts Location
On request
Hyderabad
Cliniminds Hyderabad 101A, No.6-3-801, Delta Chambers, Ameerpet,, 500016, Andhra Pradesh, India
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Frequent Asked Questions

· Requirements

MD, MS, MBBS, BDS, BHMS, BAMS, BUMS, BPT, B.Pharma, Graduate/Post Graduate Degree in Mathematics, Life Sciences, Pharmacology, Pharmacy, Medical Laboratory, Nursing, Biochemistry, Microbiology, Biotechnology and all professionals working with Pharmaceutical companies, CROs and hospitals.

Course programme

Module 1 (Theory)
• Introduction to Data Management
• Study Set Up
• CRF Design Considerations
• Data Entry, Remote Data Entry
• Identifying and Managing Discrepancies
• Medical Coding
• Database Closure
• Clinical Database & Types
• Data Management Plan
• Electronic Data Capture
• Tracking CRF Data
• Managing Lab Data
• Collecting Adverse Event Data
• Creating Reports and Transferring Data
• Enterprise Clinical Data Management Tools Module I1 (Practical)
• Study set-up
• Introduction to Clinical Database
• Documents, guidelines used in CDM
• Data Entry
• Data Review/Data Validation, Query Management
• Database QC
• CRF Design (Introduction)
• Database Design (Introduction)
• Edit Check & Edit Check Testing
• UAT (User Acceptance Testing)
• SOPs
• Quality Assurance, Audits Module I (Theory) BASICS OF BIOSTATISTICS
• Introduction to Research and Statistics/Descriptive Statistics/Probability/Probability
• Distributions
• Sampling Distributions/Statistical Inference
• Correlation and Regression
• Choosing Statistical Tests/ T-Test, Chi-Square Test, ANOVA, etc
• Analysis of Categorical Data and Non Parametric Tests
• Introduction to Statistical Software's

Module II (Practical)

SAS PROGRAMMING
• Setting Started with SAS
• Components of SAS
• Reading various types of Raw data
• Working with SAS Datasets
• Working with SAS Dates
• Combining datasets
• Working with SAS Arrays
• Proc SQL
• SAS Macro Language
• Basic Statistical Procedures

CLINICAL DATA ANALYSIS AND REPORTING USING SAS SOFTWARE
• Introduction to Clinical Trials
• Understanding and Reviewing Statistical Analysis Plan
• Annotating the Mock Tables
• Creating Dataset Specifications
• Creating Analysis Datasets
• Creating Tables/Listings/Figures

Additional information

Payment options: can be paid in two terms

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