Sanjeevani Life Sciences is Conducting a Regular Class room training on Clinical SAS for Life Science Graduates and Post Graduates. This Course is Ideal for the Students who want make their Career in one of the Fastest growing Industry in India i.e., Clinical Research Industry. The Class will be thought by Experienced faculty from the Clinical Research Industry who has 10+ years of experience. Through this session you get exposure to the real time procedures followed in the industry, there by allowing you to secure a job quickly.

Topics Covered

MODULE I- INTRODUCTION TO BASIC FUNCTIONALITY AND PROGRAMMING CONCEPTS IN SAS > Getting Started with SAS > Understanding basic programming conventions > Overview of the SAS system and types of SAS products used with different operating environment in Pharmaceutical Industry > Introduction to SAS programs (Components, Characteristics, Layout, and Processing of SAS Programs) > Exploring SAS Windowing Environment > Identifying the three primary SAS programming windows > Navigating SAS programming windows > Editing and executing SAS code > Saving and retrieving SAS code > Using the SAS Help facility > Diagnosing SAS programs, log messages, and results of processing > Getting Familiar with SAS Library and SAS Data Sets > Explaining the concept of a SAS data library > How SAS files are stored > Creating temporary or permanent libraries > Understanding SAS data sets > Overview of data sets > Data types and size of SAS data sets > Observations (Rows) and Variables (Columns) > Missing values > Rules for SAS names > Methods for getting data into SAS > Reading raw data (text, ASCII, CSV, Excel and flat files) into SAS and converting it to SAS dataset MODULE II –USING SAS DATA STEPS > Programming with the DATA Step > Creating SAS data set using DATA steps > Creating and modifying variables >Associating and changing SAS variable attributes > Executing statements conditionally (If-then-else) > Dropping and Keeping variables in a dataset > Understanding DATA step processing Combining SAS Data Sets > Concatenating SAS data sets > Merging and Interleaving SAS data sets > Combining SAS data sets using additional features > Excluding and Selecting variables from a dataset > Working with SAS Data > Using and Selecting SAS functions (PUT, INPUT, MIN, MAX, SUM, UPCASE, etc.) > Working with SAS formats and informats > Understanding SAS Data step and PDV(Program Data Vector) MODULE III- GETTING ACQUAINTED WITH SAS PROCEDURES > Producing Listing and Summarizing data by using Procedures in SAS > Using SAS procedures > Getting started with the PROC PRINT > Sorting and Grouping observations using PROC SORT > Creating user defined formats using PROC FORMAT > Summarizing data using PROC MEANS > Counting data with PROC FREQ > Producing table using PROC TABULATE and PROC REPORT > Transposing data with PROC TRANSPOSE > Sub setting in Procedures using WHERE statement MODULE IV-OUTPUT DELIVERY SYSTEM (ODS) > Enhancing your output with Output Delivery System (ODS) > Concepts of Output Delivery System and it's usefulness in generating SAS outputs > Select and trace procedure output for selective listings > Using ODS to create HTML, PDF, RTF and PRINTER output > Customizing ODS output using STYLE and PROC TEMPLATE option > Generate summary tables using ODS RTF and PROC REPORT MODULE V- USING SAS MACRO FACILITY > Macro concepts > Substituting Text with Macro variables > Adding different parameters to Macros > What are the advantages of the SAS Macro facility > Writing data driven programs with CALL SYMPUT > Understanding automatic and user-defined macro variables MODULE VI- SAS SQL > Proc SQL: > Creation of Tables > SQL Functions > Limiting information on the select > Using labels and formats > Additional select statement clauses > Sub setting using the where > Creating new tables > Limiting information on the select > Using labels and formats > Additional select statement clauses > Sub setting using the where > Creating new tables > Views, Inner joins and Outer join > Database Connections MODULE VII-INTRODUCTION TO DRUG DEVELOPMENT PROCESS IN PHARMACEUTICAL INDUSTRY > Introduction to drug discovery and development process > Overview of highly regulated drug development process, from discovery to bringing a Biopharmaceutical product to market > Understanding major phases (Phase I - IV) of clinical trials and clinical data management > Learning rationale for each phases of drug development cycle and introducing role of SAS programmer in each phase. > Food and Drug Administration (FDA) regulations and Guidance (21 CFR part 11, GCP, eCTD) Overview > Regulatory overview and approval process including IND/NDA to FDA > Role of SAS programmer at any biotech/pharmaceuticals/CRO industry in FDA application > Types and parameters of Clinical trials > Learning about the general department structure of pharmaceutical industry, roles and responsibilities of SAS programmer in the company. > Understanding clinical study and documents {e.g. Protocols, Case Report Form (CRF), annotated and electronic Case Report Form (aCRF and eCRF), Statistical Analysis Plan (SAP). MODULE VIII- INTRODUCTION TO CLINICAL TRIAL DATA > Clinical data preparation issues and different class of clinical data found in clinical trials > Learn to prepare and clean clinical trial data > Know how to categorize and summarize clinical data > Studying and classifying different types of clinical trial data {Safety (ISS) and Efficacy (ISE) Data} > Getting acquainted with new Clinical Data Interchange Standards Consortium (CDISC) implementation in categorizing clinical data > Working with real pharmaceutical industry data (demographics, concomitant medication medical history, laboratory data, adverse event, end point data, etc.) MODULE IX- GENERATE CUSTOMIZED CLINICAL TRIALS TABLES, LISTINGS AND GRAPHS/FIGURES > Learning tips and tricks to create and manage analysis data sets > Creating Tables and Listings > Using PROC TABULATE to create clinical trial tables > Using PROC REPORT to report clinical trials tables and listing > Creating summaries of Adverse Event, Concomitant medication, Laboratory data using DATA steps and various SAS Procedures > Creating Kaplan-Meier Survival Tables using PROC LIFETEST or PROC GPLOT > Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and listings > Generating Graphs and Plots using SAS/BASE, SAS STAT and SAS/GRAPH > Producing Bar and Pie charts using PROC GPLOT and PROC GCHART > Creating Box and Scatter Plot using PROC BOXPLOT, PROC GPLOT and PROC UNIVARIATE > Creating Kaplan-Meier Plot using PROC GPLOT or PROC LIFETEST

Who should attend

All Graduates and Post Graduates with Life Science background for example but not limited to B. Pharm, M. Pharm, B.Sc and M.Sc Microbiology, Biotechnology, Bio Chemistry etc., BAMS, BHMS, BUMS, BDS, Nursing, etc.,

Pre-requisites

The Student should be an Graduate or Post Graduate

What you need to bring

N/A

Key Takeaways

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