Courses

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Novel Drug Discovery (Molecular
Modeling & Computer Aided Drug Design)
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Clinical Research, Pharma Research,
Pharmacovigilance & Clinical Data Management - CDM
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SAS, Biostats & Project in Clinical Research
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Bio Med Informatics

Our Candidates are
Employed with

SAS, Biostatistics & Project in Clinical Research

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  • MBBS, MD,BDS, BHMS, BUMS, BAMS, BPT
  • M.Sc., (Microbiology / Biochemistry / Biotechnology / Bioinforma-tics  / Chemistry  / Genetics / Botany  / Zoology /  Life Sciences / Biomedical Genetics / Molecular Biosciences / Statistics / Nursing)
  • B.Pharmacy, M.Pharmacy, B.Tech.(Biotechnology)

Statistical analysis plays a predominant role in finding the safety and efficacy of a drug in Clinical Research. It has assumed tremendous importance with the advanced research in life sciences. It deals with the theories and methods of collection, analysis and interpretation of data. It plays a major role in Clinical Research because data of Clinical Research are of a variable nature. It is very difficult to draw a concrete conclusion from Clinical Research because of inherent differences between two individuals and also from group to group. The extent of this variability in a character is by way of chance, i.e., biological or normal is revealed by statistical methods. Interpretation, drawing conclusions and recommendations play a major role in Clinical Research.

 
 

Course Curriculum

About us

SAS Modules:

arrow SAS / BASE arrow SAS / CONNECT
arrow SAS / STAT arrow SAS / SQL
arrow SAS / REPORT arrow SAS / MACROS
arrow SAS / ODS arrow SAS / ETL
arrow SAS / GRAPH arrow SAS / ENTERPRISE GUIDE
arrow SAS / ACCESS arrow LIVE SAS CLINICAL PROJECT

You will be extensively involved in:

» Clinical Trial Analysis with different Statistical Procedures
» SAS Programming to find out the efficacy and safety of the drug as per 21 CFR USFDA Guidelines
» Interpretation of p-value and drawing conclusions
» Assigning subjects to treatment arms with SAS Randomization Programs
» Developing SAS programs for statistical analysis and data displays
»
Extensive Programming with the procedures like PROC FREQ, PROC MEANS, PROC SORT, PROC TABULATE, PROC SUMMARY and PROC REPORT
» Extraction and Migration of data, Multivariate statistical analysis procedures
»
Programming in t-test, Anova, Chi-Square, Regression Analysis, Correlation Analysis…etc. to evaluate the efficacy of the drug
» Manipulation of SAS datasets using SET, MERGE and Conditional statements
»
Designing and customizing the style, templates and output layout for tables, reports, listings and graphs in PDF, HTML and RTF using ODS features thereby providing greater control on report details such as font, size, data justification, order and label to meet the requirements
» Generating Reports and Graphs using PROC REPORT, PROC TABULATE, PROC GCHART and PROC GPLOT
»
Creation of SAS datasets from different external files like MS Excel, MS Access, CSV, Tab delimited, Notepad …etc. using Import techniques
» Data Exporting in file formats like HTML, RTF and PDF using ODS statements
»
Providing Programming support for the creation and maintenance of programs used in Data Management, Data Validation, Data Cleaning and Statistical Report Generation
» Extensive Applications in SAS/SQL, SAS/ACCESS, SAS/CONNECT and SAS/ETL
»
Writing SAS code to generate Tables, Listings and Figures/Graphs (TLFs or TLGs) including Patient Demography, Adverse Events (AEs), Serious Adverse Events (SAEs) … etc.
» Defining, Manipulation, Controlling and Reporting/Storage (Query Language) of Clinical Data by using PROC SQL
» Extensive Programming in writing and debugging the Macro routines and applying Macro variables in SAS program
» CDISC Domains as per FDA data submission standards
» Live SAS Clinical Project
» Learning the skills, knowledge and competencies for the SAS Certification
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