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Author: Michael J. Klepper
Publisher: Jones & Bartlett Learning
ISBN: 0763769126
Category : Medical
Languages : en
Pages : 332
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Book Description
Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk provides pharmaceutical scientists, researchers and technicians with an accessible, practical framework for the analysis, summary and interpretation of drug safety data. The only guide of its kind, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk is an invaluable reference for premarketing risk assessment. This unique resource enhances the ability of pharmaceutical professionalsùthose with and without clinical trainingùto determine the risk of a drug or biologic ahead of its release, thereby reducing unnecessary jeopardy to the patient. Authors Dr. Michael Klepper and Dr. Barton Cobert, who together bring decades of pharmaceutical research and drug safety expertise, discuss how quality planning, safety training and data standardization result in significant cost, time and resource savings. Through illustrative, step-by-step instruction, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk provides the definitive guide to drug safety data analysis and reporting. Key features include: Step-by-step instruction on how to analyze, summarize and interpret safety data for mandatory governmental safety reports Pragmatic tipsàand mistakes to avoid Simple explanations of what safety data are collected, and what the data mean Practical approaches to determining a drug effect and understanding its clinical significance Guidance for determining risk throughout the lifecycle of a drug, biologic or nutraceutical Examples of user-friendly data displays that enhance safety signal identification Ways to improve data quality and reduce the time, resources and costs involved in mandatory safety reporting Relevant material for the required training of drug safety/pharmacovigilance professionals SPECIAL FEATURE: Actual examples of an Integrated Analysis of Safety (IAS) -used in the preparation of the Integrated Summary of Safety (ISS) and the Summary of Clinical Safety (SCS) reports -, and the Periodic Safety Update Report (PSUR)
Author: Michael J. Klepper
Publisher: Jones & Bartlett Learning
ISBN: 0763769126
Category : Medical
Languages : en
Pages : 332
Get Book Here
Book Description
Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk provides pharmaceutical scientists, researchers and technicians with an accessible, practical framework for the analysis, summary and interpretation of drug safety data. The only guide of its kind, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk is an invaluable reference for premarketing risk assessment. This unique resource enhances the ability of pharmaceutical professionalsùthose with and without clinical trainingùto determine the risk of a drug or biologic ahead of its release, thereby reducing unnecessary jeopardy to the patient. Authors Dr. Michael Klepper and Dr. Barton Cobert, who together bring decades of pharmaceutical research and drug safety expertise, discuss how quality planning, safety training and data standardization result in significant cost, time and resource savings. Through illustrative, step-by-step instruction, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk provides the definitive guide to drug safety data analysis and reporting. Key features include: Step-by-step instruction on how to analyze, summarize and interpret safety data for mandatory governmental safety reports Pragmatic tipsàand mistakes to avoid Simple explanations of what safety data are collected, and what the data mean Practical approaches to determining a drug effect and understanding its clinical significance Guidance for determining risk throughout the lifecycle of a drug, biologic or nutraceutical Examples of user-friendly data displays that enhance safety signal identification Ways to improve data quality and reduce the time, resources and costs involved in mandatory safety reporting Relevant material for the required training of drug safety/pharmacovigilance professionals SPECIAL FEATURE: Actual examples of an Integrated Analysis of Safety (IAS) -used in the preparation of the Integrated Summary of Safety (ISS) and the Summary of Clinical Safety (SCS) reports -, and the Periodic Safety Update Report (PSUR)
Author: Michael J. Klepper
Publisher:
ISBN:
Category : Health risk assessment
Languages : en
Pages : 312
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Book Description
Author: Michael J. Klepper
Publisher: Jones & Bartlett Publishers
ISBN: 1449671551
Category : Medical
Languages : en
Pages : 332
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Book Description
Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk was selected for The First Clinical Research Bookshelf - Essential reading for clinical research professionals by the Journal of Clinical Research Best Practices. Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk provides drug safety/pharmacovogilance professionals, pharmaceutical and clinical research scientists, statisticians, programmers, medical writers, and technicians with an accessible, practical framework for the analysis, summary and interpretation of drug safety data. The only guide of its kind, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk is an invaluable reference for pre- and post-marketing risk assessment. With decades of pharmaceutical research and drug safety expertise, authors Dr. Klepper and Dr. Cobert discuss how quality planning, safety training, and data standardization result in significant cost, time, and resource savings. Through illustrative, step-by-step instruction, Drug Safety Data: How to Analyze, Summarize and Interpret to Determine Risk is the definitive guide to drug safety data analysis and reporting. Key features include: * Step-by-step instruction on how to analyze, summarize and interpret safety data for mandatory governmental safety reports * Pragmatic tips...and mistakes to avoid * Simple explanations of what safety data are collected, and what the data mean * Practical approaches to determining a drug effect and understanding its clinical significance * Guidance for determining risk throughout the lifecycle of a drug, biologic or nutraceutical * Examples of user-friendly data displays that enhance safety signal identification * Ways to improve data quality and reduce the time, resources and costs involved in mandatory safety reporting * Relevant material for the required training of drug safety/pharmacovigilance professionals * SPECIAL FEATURE: Actual examples of an Integrated Analysis of Safety (IAS) -used in the preparation of the Integrated Summary of Safety (ISS) and the Summary of Clinical Safety (SCS) reports -, and the Periodic Safety Update Report (PSUR)
Author: Isiah Nichols
Publisher: Createspace Independent Publishing Platform
ISBN: 9781984171948
Category :
Languages : en
Pages : 430
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Book Description
The only guide of its kind, Drug Safety Data to Determine Risk is an invaluable reference for pre- and post-marketing risk assessment. With decades of pharmaceutical research and drug safety expertise, author Isiah Nichols discusses how quality planning, safety training, and data standardization result in significant cost, time, and resource savings. Through illustrative, step-by-step instruction, Drug Safety Data to Determine Risk is the definitive guide to drug safety data analysis and reporting.Drug Safety Data to Determine Risk provides drug safety/pharmacovogilance professionals, pharmaceutical and clinical research scientists, statisticians, programmers, medical writers, and technicians with an accessible, practical framework for the analysis, summary and interpretation of drug safety data.
Author: Qi Jiang
Publisher: CRC Press
ISBN: 1466555459
Category : Mathematics
Languages : en
Pages : 386
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Book Description
State-of-the-Art Methods for Drug Safety Assessment Responding to the increased scrutiny of drug safety in recent years, Quantitative Evaluation of Safety in Drug Development: Design, Analysis and Reporting explains design, monitoring, analysis, and reporting issues for both clinical trials and observational studies in biopharmaceutical product development. It presents the latest statistical methods for drug safety assessment. The book’s three sections focus on study design, safety monitoring, and data evaluation/analysis. The book addresses key challenges across regulatory agencies, industry, and academia. It discusses quantitative approaches to safety evaluation and risk management in drug development, covering Bayesian methods, effective safety graphics, and risk-benefit evaluation. Written by a team of experienced leaders, this book brings the most advanced knowledge and statistical methods of drug safety to the statistical, clinical, and safety community. It shares best practices and stimulates further research and methodology development in the drug safety area.
Author: Barton Cobert
Publisher: Jones & Bartlett Publishers
ISBN: 0763745278
Category : Medical
Languages : en
Pages : 406
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Book Description
The Practical Drug Safety from A to Z is an alphabetical guide to drug safety monitoring (pharmacovigilance), covering literally, the "A to Z" of maintaining drug safety. Written by experts in the field, this book is a perfect to companion to the Manual of Drug Safety and Pharmacovigilance and an essential reference for pharmacists, pharmacologists, hospital administrators, medical liability lawyers, and others.
Author: William Wang
Publisher: CRC Press
ISBN: 0429950004
Category : Mathematics
Languages : en
Pages : 402
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Book Description
Quantitative Methodologies and Process for Safety Monitoring and Ongoing Benefit Risk Evaluation provides a comprehensive coverage on safety monitoring methodologies, covering both global trends and regional initiatives. Pharmacovigilance has traditionally focused on the handling of individual adverse event reports however recently there had been a shift towards aggregate analysis to better understand the scope of product risks. Written to be accessible not only to statisticians but also to safety scientists with a quantitative interest, this book aims to bridge the gap in knowledge between medical and statistical fields creating a truly multi-disciplinary approach that is very much needed for 21st century safety evaluation.
Author: Ton J. Cleophas
Publisher: Springer
ISBN: 3030058042
Category : Medical
Languages : en
Pages : 217
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Book Description
In 2010, the 5th edition of the textbook, "Statistics Applied to Clinical Studies", was published by Springer and since then has been widely distributed. The primary object of clinical trials of new drugs is to demonstrate efficacy rather than safety. However, a trial in humans which does not adequately address safety is unethical, while the assessment of safety variables is an important element of the trial. An effective approach is to present summaries of the prevalence of adverse effects and their 95% confidence intervals. In order to estimate the probability that the differences between treatment and control group occurred merely by chance, a statistical test can be performed. In the past few years, this pretty crude method has been supplemented and sometimes, replaced with more sophisticated and better sensitive methodologies, based on machine learning clusters and networks, and multivariate analyses. As a result, it is time that an updated version of safety data analysis was published. The issue of dependency also needs to be addressed. Adverse effects may be either dependent or independent of the main outcome. For example, an adverse effect of alpha blockers is dizziness and this occurs independently of the main outcome "alleviation of Raynaud 's phenomenon". In contrast, the adverse effect "increased calorie intake" occurs with "increased exercise", and this adverse effect is very dependent on the main outcome "weight loss". Random heterogeneities, outliers, confounders, interaction factors are common in clinical trials, and all of them can be considered as kinds of adverse effects of the dependent type. Random regressions and analyses of variance, high dimensional clusterings, partial correlations, structural equations models, Bayesian methods are helpful for their analysis. The current edition was written for non-mathematicians, particularly medical and health professionals and students. It provides examples of modern analytic methods so far largely unused in safety analysis. All of the 14 chapters have two core characteristics, First, they are intended for current usage, and they are particularly concerned with that usage. Second, they try and tell what readers need to know in order to understand and apply the methods. For that purpose, step by step analyses of both hypothesized and real data examples are provided.
Author: Barton Cobert
Publisher: Jones & Bartlett Publishers
ISBN: 0763791598
Category : Medical
Languages : en
Pages : 433
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Book Description
Completely revised and updated, the Manual of Drug Safety and Pharmacovigilance, Second Edition is a how-to manual for those working in the fields of drug safety, clinical research, pharmacology, regulatory affairs, government and legal professions. This comprehensive and practical guide discusses the theory and the practicalities of drug safety (also known as pharmacovigilance) and side effects, as well as providing essential information on drug safety and regulations, including: recognizing, monitoring, reporting and cataloging serious adverse drug reactions. The Manual of Drug Safety and Pharmacovigilance, Second Edition teaches the ins and outs of drug safety in the industry, hospitals, FDA, and other health agencies both in the US and around the world, and presents critical information about what is done when confronted with a drug safety problem.
Author: Council for International Organizations of Medical Sciences (CIOMS)
Publisher: World Health Organization
ISBN: 9789290360858
Category : Drugs
Languages : en
Pages : 0
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Book Description
At any point in the drug development process, systematic reviews and meta-analysis can provide important information to guide the future path of the development program and any actions that might be needed in the post-marketing setting. This report gives the rationale for why and when a meta-analysis should be considered, all in the context of regulatory decision-making, and the tasks, data collection, and analyses that need to be carried out to inform those decisions. There is increasing demand by decision-makers in health care, the bio-pharmaceutical industry, and society at large to have access to the best available evidence on benefits and risks of medicinal products. The best strategy will take an overview of all the evidence and where it is possible and sensible, combine the evidence and summarize the results. For efficacy, the outcomes generally use the same or very similar predefined events for each of the trials to be included. Most regulatory guidance and many Cochrane Collaboration reviews have usually given more attention to assessment of benefits, while issues around combining evidence on harms have not been as well-covered. However, the (inevitably) unplanned nature of the data on safety makes the process more difficult. Combining evidence on adverse events (AEs), where these were not the focus of the original studies, is more challenging than combining evidence on pre-specified benefits. This focus on AEs represents the main contribution of the current CIOMS X report. The goal of the CIOMS X report is to provide principles on appropriate application of meta-analysis in assessing safety of pharmaceutical products to inform regulatory decision-making. This report is about meta-analysis in this narrow area, but the present report should also provide conceptually helpful points to consider for a wider range of applications, such as vaccines, medical devices, veterinary medicines or even products that are combinations of medicinal products and medical devices. Although some of the content of this report describes highly technical statistical concepts and methods (in particular Chapter 4), the ambition of the working group has been to make it comprehensible to non-statisticians for its use in clinical epidemiology and regulatory science. To that end, Chapters 3 and 4, which contain the main technical statistical aspects of the appropriate design, analysis and reporting of a meta-analysis of safety data are followed by Chapter 5 with a thought process for evaluating the findings of a meta-analysis and how to communicate these.
