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020 a| 9780309158145;

020 a| 0309158141;

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110 2 a| National Research Council (U.S.).b| Panel on Handling Missing Data in Clinical Trials.=| ^A1333521;

245 14 a| The prevention and treatment of missing data in clinical trialsh| [electronic resource] /c| Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences, National Research Council of the National Academies.;

260 a| Washington, D.C. :b| National Academies Press,;

300 a| xv, 144 p. :b| ill. ;c| 23 cm.;

504 a| Includes bibliographical references (p. 115-122).;

505 0 a| Introduction and background -- Trial designs to reduce the frequency of missing data -- Trial strategies to reduce the frequency of missing data -- Drawing inferences from incomplete data -- Principles and methods of sensitivity analyses -- Conclusions and recommendations.;

506 a| Available only to authorized users.;

520 a| "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."--Publisher's description.;

530 a| Also available in Open Book format via the National Academies Press home page.;

538 a| Mode of access: World Wide Web;

650 0 a| Clinical trialsx| Statistical methods.=| ^A990883;

650 0 a| Experimental design.=| ^A23695;

650 12 a| Randomized Controlled Trials as Topicx| statistics & numerical data.=| ^A1337081;

650 22 a| Biomedical Researchx| standards.=| ^A1172851;

655 0 a| Electronic books.=| ^A491897;

710 2 a| National Research Council (U.S.).b| Committee on National Statistics.=| ^A7066;

710 2 a| National Academies Press (U.S.)=| ^A536339;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=3378730;

947 a| (OCoLC)ocn658581393;

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The prevention and treatment of missing data in clinical trials / Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences, National Research Council of the National Academies.

Author/creator	National Research Council (U.S.).
Other author	National Research Council (U.S.). Committee on National Statistics.
Other author	National Academies Press (U.S.)
Format	Electronic
Publication Info	Washington, D.C. : National Academies Press,
Description	xv, 144 p. : ill. ; 23 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Clinical trials--Statistical methods. Experimental design. Randomized Controlled Trials as Topic--statistics & numerical data. Biomedical Research--standards.

Contents	Introduction and background -- Trial designs to reduce the frequency of missing data -- Trial strategies to reduce the frequency of missing data -- Drawing inferences from incomplete data -- Principles and methods of sensitivity analyses -- Conclusions and recommendations.
Abstract	"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."--Publisher's description.
Bibliography note	Includes bibliographical references (p. 115-122).
Access restriction	Available only to authorized users.
Other forms	Also available in Open Book format via the National Academies Press home page.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2012405185
ISBN	9780309158145
ISBN	0309158141

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The prevention and treatment of missing data in clinical trials / Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences, National Research Council of the National Academies.

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