181 Evaluation courses in London

The UK's first and only Level 4 qualification in Phlebotomy (equivalent to Ireland Level 6) FDSc (Foundation Degree Level) qualification Nationally Recognised certificate Dually accredited: Open College Network and CPD Covers both aspirated and evacuated systems Covers specialised blood collection systems & methods Classroom or Virtual Classroom learning options Comprehensive Training Kit is provided when booking our Virtual Classroom option (yours to keep) Complete your training from beginner to advanced level This course either follows on from our Introduction to Phlebotomy Course or can be combined with our introductory course as part of a course package (see below) Available to candidates who have completed (or are currently enrolled to complete) our Introduction to Phlebotomy Course or have previous phlebotomy practical experience.

Course Information Join us for a comprehensive refresher focusing on crucial Good Laboratory Practice (GLP) requirements, including an emphasis on data integrity, recent developments, and emerging trends gleaned from MHRA inspections. The programme dives into specific domains such as risk assessment, OECD guidance on sponsor influence, and the advisory from OECD on QA. Additionally, delegates can benefit from a dedicated GLP clinic, facilitating discussions on understanding and upholding GLP compliance. Is this course for you? This course is tailored for study directors, principal investigators, test facility management, and QA professionals seeking to refresh their knowledge and responsibilities within the GLP framework. Tutors Tutors will be comprised of (click the photos for biographies): Vanessa Grant -, - Tim Stiles Consultant, Qualogy Ltd Programme Please note timings may be subject to alteration. Day 1 09:00 Registration, Welcome and Introduction 09:20 Development of Good Laboratory Practice A reminder of the history of GLP, its current scope and application, with a synopsis of current UK, European and international standards. 09:50 Roles and Responsibilities of Study Director, Test Facility Management, Principal Investigator, Test Site Management, Study Staff and QA A reminder of the roles and responsibilities with regard to the GLP management and oversight of the Test Facility and the management and control of the study, as defined by GLP. 10:30 Break 10:45 Workshop 1 Workshop 1 Roles and responsibilities 11:15 Influence of Sponsors The published OECD Position Paper No. 21 regarding Possible Influence of Sponsors on conclusions of GLP Studies is reviewed and discussed. 11:45 Data Integrity The fundamentals of data integrity according to the OECD Guidance No. 22 on Data Integrity is discussed along with the responsibilities of Study Director, Test Facility Management, and study staff in ensuring the integrity of the GLP study data. 12:30 Lunch 13:15 Quality Assurance and GLP OECD Advisory No. 23 (Revision of OECD No.4)- A walk through of the changes to the OECD Guidance on the role and activities of Quality Assurance 13:45 Quality Improvement Tools and GLP The tools that might be considered for GLP and their role and operation when used in Test Facilities- OECD Position Paper No.24 published July 2022 14:15 Workshop 2 Workshop 2 Change control 14:30 Risk Assessment How should we assess risk and how can we use the process to assist in evaluation audit findings? 15:00 Break 15:15 Current hot topics in GLP Explore the current issues in Industry and trends /types of Regulatory inspection findings 15:50 GLP Clinic An opportunity to discuss any other issues regarding understanding and maintaining GLP Compliance. 16:30 Close of Course Extra Information Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 7 Points   Development Level Learn

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Self-evaluation - find out how you can get it right.

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).