Clinical Measurement in Drug Evaluation

Clinical Measurement in Drug Evaluation PDF

Author: Nimmo/Tucker

Publisher: CRC Press

Published: 1991-09-27

Total Pages: 240

ISBN-13: 9780849377310

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Clinical measurement of the therapeutic and adverse effects of a drug is an important part of drug evaluation and registration. This volume presents full coverage of the principles and practice of the measurement of drug effects in humans and its role in the evaluation and development of new drugs. Clinical interpretation and relevance of data, as well as the acceptability and accuracy of methodology are emphasized together with the special problems of the cardiovascular system and the central nervous system. Contributions are from an international team of scientists and clinicians from both academia and industry. Clinical Measurement in Drug Evaluation will be useful for clinical and research scientists, research-based pharmacologists, and the pharmaceutical industry.

Evaluation of Biomarkers and Surrogate Endpoints in Chronic Disease

Evaluation of Biomarkers and Surrogate Endpoints in Chronic Disease PDF

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2010-06-25

Total Pages: 335

ISBN-13: 0309157277

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Many people naturally assume that the claims made for foods and nutritional supplements have the same degree of scientific grounding as those for medication, but that is not always the case. The IOM recommends that the FDA adopt a consistent scientific framework for biomarker evaluation in order to achieve a rigorous and transparent process.

The Prevention and Treatment of Missing Data in Clinical Trials

The Prevention and Treatment of Missing Data in Clinical Trials PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2010-12-21

Total Pages: 163

ISBN-13: 030918651X

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Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.

Clinical Measurement in Drug Evaluation

Clinical Measurement in Drug Evaluation PDF

Author: Nimmo/Tucker

Publisher: CRC Press

Published: 1991-09-27

Total Pages: 256

ISBN-13: 9780849377310

DOWNLOAD EBOOK →

Clinical measurement of the therapeutic and adverse effects of a drug is an important part of drug evaluation and registration. This volume presents full coverage of the principles and practice of the measurement of drug effects in humans and its role in the evaluation and development of new drugs. Clinical interpretation and relevance of data, as well as the acceptability and accuracy of methodology are emphasized together with the special problems of the cardiovascular system and the central nervous system. Contributions are from an international team of scientists and clinicians from both academia and industry. Clinical Measurement in Drug Evaluation will be useful for clinical and research scientists, research-based pharmacologists, and the pharmaceutical industry.

Drug Discovery and Evaluation: Methods in Clinical Pharmacology

Drug Discovery and Evaluation: Methods in Clinical Pharmacology PDF

Author: H.Gerhard Vogel

Publisher: Springer Science & Business Media

Published: 2010-12-15

Total Pages: 576

ISBN-13: 3540898905

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Drug Discovery and Evaluation has become a more and more difficult, expensive and time-consuming process. The effect of a new compound has to be detected by in vitro and in vivo methods of pharmacology. The activity spectrum and the potency compared to existing drugs have to be determined. As these processes can be divided up stepwise we have designed a book series "Drug Discovery and Evaluation" in the form of a recommendation document. The methods to detect drug targets are described in the first volume of this series "Pharmacological Assays" comprising classical methods as well as new technologies. Before going to man, the most suitable compound has to be selected by pharmacokinetic studies and experiments in toxicology. These preclinical methods are described in the second volume „Safety and Pharmacokinetic Assays". Only then are first studies in human beings allowed. Special rules are established for Phase I studies. Clinical pharmacokinetics are performed in parallel with human studies on tolerability and therapeutic effects. Special studies according to various populations and different therapeutic indications are necessary. These items are covered in the third volume: „Methods in Clinical Pharmacology".

Small Clinical Trials

Small Clinical Trials PDF

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2001-01-01

Total Pages: 221

ISBN-13: 0309171148

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Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.

Measurement in Medicine

Measurement in Medicine PDF

Author: Henrica C. W. de Vet

Publisher: Cambridge University Press

Published: 2011-08-11

Total Pages: 347

ISBN-13: 9780521133852

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The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.

Evolution of Translational Omics

Evolution of Translational Omics PDF

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2012-09-13

Total Pages: 354

ISBN-13: 0309224187

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Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

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