Stewart lesley a (30 risultati)

Trade Paperback. Condizione: Very Good. Trade Paperback - VG - Book is clean and tight with light wear - Index - 1069 pages.

Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Hardcover. Condizione: new. Hardcover. Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic reviewRecognise the scope, resources and challenges of IPD meta-analysis projectsAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigatorsUnderstand how to obtain, check, manage and harmonise IPD from multiple studiesExamine risk of bias (quality) of IPD and minimise potential biases throughout the projectUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement themClearly report and disseminate IPD meta-analyses to inform policy, practice and future researchCritically appraise existing IPD meta-analysis projectsAddress specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: As New. Unread book in perfect condition.

Condizione: New. Print on Demand.

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. 2021. 1st Edition. hardcover. . . . . .

Condizione: New. pp. 560.

Condizione: New. pp. 560 1st Edition.

Hardback. Condizione: New. Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic reviewRecognise the scope, resources and challenges of IPD meta-analysis projectsAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigatorsUnderstand how to obtain, check, manage and harmonise IPD from multiple studiesExamine risk of bias (quality) of IPD and minimise potential biases throughout the projectUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement themClearly report and disseminate IPD meta-analyses to inform policy, practice and future researchCritically appraise existing IPD meta-analysis projectsAddress specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout. …

Condizione: New. In English.

Hardcover. Condizione: new. Hardcover. Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic reviewRecognise the scope, resources and challenges of IPD meta-analysis projectsAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigatorsUnderstand how to obtain, check, manage and harmonise IPD from multiple studiesExamine risk of bias (quality) of IPD and minimise potential biases throughout the projectUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement themClearly report and disseminate IPD meta-analyses to inform policy, practice and future researchCritically appraise existing IPD meta-analysis projectsAddress specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

hardcover. Condizione: Sehr gut. 560 Seiten; 9781119333722.2 Gewicht in Gramm: 3.

Condizione: New. 2021. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 1st edition. 550 pages. 10.50x7.50x1.50 inches. In Stock.

Condizione: New. Richard D. Riley is Professor of Biostatistics in the School of Medicine, Keele University, UK.Jayne F. Tierney is Professor of Evidence Synthesis at the MRC Clinical Trials Unit, University College London, UK.Lesley A. Stewart is Professor of Evidence Synt.

Buch. Condizione: Neu. Neuware - Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points.Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data.Intended for a broad audience, the book will enable the reader to:\* Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review\* Recognise the scope, resources and challenges of IPD meta-analysis projects\* Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators\* Understand how to obtain, check, manage and harmonise IPD from multiple studies\* Examine risk of bias (quality) of IPD and minimise potential biases throughout the project\* Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them\* Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research\* Critically appraise existing IPD meta-analysis projects\* Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction modelsDetailed examples and case studies are provided throughout. …

Hardback. Condizione: New. Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic reviewRecognise the scope, resources and challenges of IPD meta-analysis projectsAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigatorsUnderstand how to obtain, check, manage and harmonise IPD from multiple studiesExamine risk of bias (quality) of IPD and minimise potential biases throughout the projectUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement themClearly report and disseminate IPD meta-analyses to inform policy, practice and future researchCritically appraise existing IPD meta-analysis projectsAddress specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout. …

Hardcover. Condizione: New.

Hardcover. Condizione: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: gut. 2021. Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research (Statistics in Practice) In englischer Sprache. pages.

Pictorial Laminated Boards. Condizione: Good. UK 2004 laminated hardcover in good condition. Ex-library book with usual markings. No notes or highlighting.

Hardcover. Condizione: Brand New. 1st edition. 550 pages. 10.50x7.50x1.50 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic reviewRecognise the scope, resources and challenges of IPD meta-analysis projectsAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigatorsUnderstand how to obtain, check, manage and harmonise IPD from multiple studiesExamine risk of bias (quality) of IPD and minimise potential biases throughout the projectUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement themClearly report and disseminate IPD meta-analyses to inform policy, practice and future researchCritically appraise existing IPD meta-analysis projectsAddress specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. PRINT ON DEMAND pp. 560.