SAS is a statistical analysis software primarily used as a data management, statistical analysis, and reporting tool. It was created at North Carolina State University in the late 1960s. The typical SAS workflow involves collecting data from databases, performing analysis and reporting in SAS, and submitting clinical trial data and results to regulatory agencies like the FDA. SAS plays a key role in organizing clinical trial data into CDISC standards like SDTM and ADaM and generating tables, figures, and listings for analysis and regulatory submission.
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...Epochresearch
Clinical SAS
This bootcamp training program will not only cover detail about data manipulation, generation of tables and graphs but it also make you industry ready with clinical research theory and case studies based on phase trials. This program also help candidate in preparation of SAS Certified Clinical SAS Programmer credentials. Participants get one complimentary attempt for Base SAS and Advanced SAS Certification Exams. Participants needs to complete 7 days project as part of their bootcamp. The project includes following topics
Learn how to
• Clinical trials process
• Accessing, managing, and transforming clinical trials data
• Statistical procedures and macro programming
• Reporting clinical trials results
• Validating clinical trial data reporting.
For more information you can drop your mails on info@epoch.co.in
#clinicalsasprogramming #clinicalsas #sastraining #clinicalsasprogrammer #hadoop #bigdata
SDTM (Study Data Tabulation Model) defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA).
An brief introduction to the clinical data management process is described in this slides. These slides provides you the information regarding the data evaluation in the clinical trials , edit checks and data review finally data locking,then the data is submitted to the concerned regulatory body.
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...Epochresearch
Clinical SAS
This bootcamp training program will not only cover detail about data manipulation, generation of tables and graphs but it also make you industry ready with clinical research theory and case studies based on phase trials. This program also help candidate in preparation of SAS Certified Clinical SAS Programmer credentials. Participants get one complimentary attempt for Base SAS and Advanced SAS Certification Exams. Participants needs to complete 7 days project as part of their bootcamp. The project includes following topics
Learn how to
• Clinical trials process
• Accessing, managing, and transforming clinical trials data
• Statistical procedures and macro programming
• Reporting clinical trials results
• Validating clinical trial data reporting.
For more information you can drop your mails on info@epoch.co.in
#clinicalsasprogramming #clinicalsas #sastraining #clinicalsasprogrammer #hadoop #bigdata
SDTM (Study Data Tabulation Model) defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA).
An brief introduction to the clinical data management process is described in this slides. These slides provides you the information regarding the data evaluation in the clinical trials , edit checks and data review finally data locking,then the data is submitted to the concerned regulatory body.
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
CDISC's CDASH and SDTM: Why You Need Both!Kit Howard
CDISC's clinical data standards are widely used for clinical research, but many people wonder why there seem to be two standards for collected data: the Clinical Data Acquisition Standards Harmonization (CDASH) standard and the Study Data Tabulation Model (SDTM) standard. This poster steps through four significant reasons that reflect the differences in philosophy, intermediate goals and broad-scale uses. Examples illustrate each reason and how they affect your studies.
Electronic Data Capture & Remote Data CaptureCRB Tech
CRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
Introduction to Data Management Plan in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
This presentation is about -
Overview of SAS 9 Business Intelligence Platform,
SAS Data Integration,
Study Business Intelligence,
overview Business Intelligence Information Consumers ,navigating in SAS Data Integration Studio,
For more details Visit :-
http://vibranttechnologies.co.in/sas-classes-in-mumbai.html
The purpose of this presentation is to describe step by step the transition of a SAS Programmer into a Clinical Statistical Programmer. It can be used as guidelines for SAS Programmers who wants to put their programming and technical expertise into industries.
A SAS Programmer is someone who uses SAS software for different scenarios. The person who uses it for different purposes is known as a SAS Programmer.
On the other hand, a Clinical Statistical Programmer performs all the procedures to generate future outputs and makes advanced and real-world developments to face further challenges. A primary role of Clinical Statistical Programmers is to use their technical and programming skills in order to enable clinical trial statisticians to perform their statistical analysis duties more efficiently.
This presentation will briefly discuss about the smooth transition that a SAS Programmer needs to go through in order to become a Clinical Statistical Programmer.
Globalization of Clinical Trials: Mutual acceptance of Medical Device dataAnnet Visscher
Technologies and regulatory standards facilitate clinical trial globalization and mutual acceptance of clinical trial data. Changes in trial execution, however, are not 1:1 reflected in foreign data acceptance. Factors such as ethnic and local requirements seem to outweigh the benefits.
Epoch provides training to students, professionals and corporate on SAS®, Data Management Activities and soft skills. Training includes Software Programming, Clinical, Analysis and Analytics modules, which can be availed by professionals with IT, Life Sciences, Medical, Statistics, MBA and such other backgrounds. Epoch is the pioneer in the courses designed of SAS designed for Clinical Programming world.
www.epoch.co.in, info@epoch.co.in
#bigdata
#hadoop
#sastraining
#epochsastraining
#sasonlinetraining
#clinicalprogramming
#epochsasonlinetraining
#epochresearchinstitute
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
CDISC's CDASH and SDTM: Why You Need Both!Kit Howard
CDISC's clinical data standards are widely used for clinical research, but many people wonder why there seem to be two standards for collected data: the Clinical Data Acquisition Standards Harmonization (CDASH) standard and the Study Data Tabulation Model (SDTM) standard. This poster steps through four significant reasons that reflect the differences in philosophy, intermediate goals and broad-scale uses. Examples illustrate each reason and how they affect your studies.
Electronic Data Capture & Remote Data CaptureCRB Tech
CRB Tech is one of the best leading Software Development Company in Pune. We are offering Software Development Services as well as IT Training including Java, Dot Net, SEO and Clinical Research training in pune.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
Introduction to Data Management Plan in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
This presentation is about -
Overview of SAS 9 Business Intelligence Platform,
SAS Data Integration,
Study Business Intelligence,
overview Business Intelligence Information Consumers ,navigating in SAS Data Integration Studio,
For more details Visit :-
http://vibranttechnologies.co.in/sas-classes-in-mumbai.html
The purpose of this presentation is to describe step by step the transition of a SAS Programmer into a Clinical Statistical Programmer. It can be used as guidelines for SAS Programmers who wants to put their programming and technical expertise into industries.
A SAS Programmer is someone who uses SAS software for different scenarios. The person who uses it for different purposes is known as a SAS Programmer.
On the other hand, a Clinical Statistical Programmer performs all the procedures to generate future outputs and makes advanced and real-world developments to face further challenges. A primary role of Clinical Statistical Programmers is to use their technical and programming skills in order to enable clinical trial statisticians to perform their statistical analysis duties more efficiently.
This presentation will briefly discuss about the smooth transition that a SAS Programmer needs to go through in order to become a Clinical Statistical Programmer.
Globalization of Clinical Trials: Mutual acceptance of Medical Device dataAnnet Visscher
Technologies and regulatory standards facilitate clinical trial globalization and mutual acceptance of clinical trial data. Changes in trial execution, however, are not 1:1 reflected in foreign data acceptance. Factors such as ethnic and local requirements seem to outweigh the benefits.
Epoch provides training to students, professionals and corporate on SAS®, Data Management Activities and soft skills. Training includes Software Programming, Clinical, Analysis and Analytics modules, which can be availed by professionals with IT, Life Sciences, Medical, Statistics, MBA and such other backgrounds. Epoch is the pioneer in the courses designed of SAS designed for Clinical Programming world.
www.epoch.co.in, info@epoch.co.in
#bigdata
#hadoop
#sastraining
#epochsastraining
#sasonlinetraining
#clinicalprogramming
#epochsasonlinetraining
#epochresearchinstitute
Analytical Wizards' Claims Data Navigator for Patient Journey and MoreEric Levin
AW uses state-of-the art big data technologies, expert analytical methodologies, and deep healthcare industry expertise to mine massive claims databases to derive targeted insights for Patient Journey Analysis, Physician Targeting, Outcome Prediction, and more.
Emerging diagnostic technologies proving the clinical application through g...Lyssa Friedman
Next Generation Sequencing is an exciting new technology for diagnostics companies. But is it right for all products and for all companies? This presentation was delivered via Webinar for a IVD audience for Q1 Productions, March 25, 2014.
Clinical Validation of Copy Number Variants Using the AMP GuidelinesGolden Helix
The common approaches to detecting copy number variants (CNVs) are chromosomal microarray and MLPA. However, both options increase analysis time, per sample costs, and are limited to the size of CNV events that can be detected. VarSeq’s CNV caller, on the other hand, allows users to detect CNVs from the coverage profile stored in the BAM file, which allows you to utilize your existing NGS data and perform the analysis all in one suite. Coupled with this innovative feature is the ability to annotate CNV events against a variety of databases, and by incorporating our VSClinical AMP workflow, we can now assess CNVs as potential biomarkers. Most importantly, Golden Helix CancerKB is an AMP workflow feature that provides expert-curated biomarker interpretations, including those for common somatic CNVs, that will streamline the analysis time and report generation.
In this demonstration we will cover:
Setting up the VS-CNV caller using BAM files from whole exome data
Filtering down to high quality, high confidence CNV events
Annotating CNVs using publicly curated catalogs and databases
Adding clinically relevant CNVs to the VSClinical AMP workflow
Utilizing Golden Helix CancerKB to obtain expert-curated interpretations
Showing updated features and polishes to the software
Together, VarSeq incorporates the ability to accurately call and annotate CNVs and evaluate germline and somatic mutations according to the ACMG and AMP guidelines, respectively. This webcast demonstration will provide insight into these best practice workflows and will hopefully show you how you can implement this top-quality software into your pipeline solution.
EPharma day munich - RBM with EU Clinical Trials RegulationArtem Andrianov
The new EU Clinical Trials Regulation (CTR) becomes applicable not earlier than on 28th of May 2016. It introduces a number of changes in the clinical trial’s application, operations, documentation, and assessment. Although CTR is not taking the direct reference on RbM, it refers to principles of Good Clinical Practice (GCP) and Quality by Design (QbD). These principles are the underlying in RbM as well. Therefore, the author offers to apply RbM as a practical mechanism and process in order to embrace the new EU regulation.
Data Integration and Imaging Informatics - Status Reportimgcommcall
The Data Integration and Imaging Informatics project (DI-cubed) aims to demonstrate that standards such as BRIDG, CDISC SDTM, and DICOM will support interoperability.
tranSMART Community Meeting 5-7 Nov 13 - Session 5: Advancing tranSMART Analy...David Peyruc
tranSMART Community Meeting 5-7 Nov 13 - Session 5: Advancing tranSMART Analytical Capabilities with Knowledge Content
Sirimon Ocharoen, Thomson Reuters
To effectively analyze data in tranSMART, biological analysis/knowledge-based approach is needed. Through a case study, we will demonstrate how system biology content can be integrated in tranSMART to enable functional analysis and biological interpretation. We will also share our experience and user feedbacks from various projects.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
2. Agenda
• Introduction to SAS
• SAS workflow
• Applications
• Clinical Domain
• Clinical trial phases
• Clinical trial data collection
• Types of clinical trial data
• Regulatory Agencies
• SAS role in data submission
2
3. Introduction to SAS
• SAS stands for Statistical Analysis
Software
• It is primarily used as a data management,
statistical analysis and reporting tool
• Started at North Carolina State University
as a project to analyze agricultural
research by Jim Goodnight in late 1960s
3
8. Types of Clinical Trial data
•Demographic Data
•Age, Sex, Race, Country
•Pharmacokinetic Data
•AUC, T-half, Cmax, Tmax
•Exposure Data
•Study Drug
•Other than Study Drug
•Substance Use
9
9. Types of Clinical Trial data
•Safety Data
•Adverse Events, Laboratory, Vital
Signs, Electrocardiogram, Physical
Examination and Others
•Efficacy Data
•Depends on Therapeutic Area
•Cancer - Tumor size, Survival
•Other Data
•Deviations, Milestones
10
10. Clinical Trial Road map
R & D
CRO
CDM
SAS Programmer
Client
FDA
Statistical Analysis
Plan
• CDM to CDISC Standards
• Raw data to SDTM
• SDTM to ADaM
• TLFs
• Data Submission
11
14. 15
Regulatory Agencies
• USA: Food and Drug Administration (FDA)
• Europe: European Agency for the Evaluation of Medical
Products (EMEA)
• Japan: Ministry of Health and Welfare (MHW)
• Others
• Canada: Therapeutic Products Directorate (TPD)
• Australia: Therapeutic Goods Administration (TGA)
• China: State Drug Administration (SDA)
• India: Drug Controller General of India (DCGI)