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Preventing and treating missing data in longitudinal clinical trials : a practical guide /
Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge :
Cambridge University Press,
2013.
|
| Colección: | Practical guides to biostatistics and epidemiology.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Mallinckrodt, Craig H., |d 1958- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjrYfXDVdxttgxqCQYKG9C | |
| 245 | 1 | 0 | |a Preventing and treating missing data in longitudinal clinical trials : |b a practical guide / |c Craig H. Mallinckrodt. |
| 260 | |a Cambridge : |b Cambridge University Press, |c 2013. | ||
| 300 | |a 1 online resource (186 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 490 | 1 | |a Practical guides to biostatistics and epidemiology | |
| 505 | 0 | |a List of Figures; List of Tables; Acknowledgments; Preface; Part I BACKGROUND AND SETTING; 1 Why Missing Data Matter; 2 Missing Data Mechanisms; 2.1 Introduction; 2.2 Missing Data Taxonomy; 3 Estimands; 3.1 Introduction; 3.2 Hypotheses; 3.3 Considerations; Part II PREVENTING MISSING DATA; 4 Trial Design Considerations; 4.1 Introduction; 4.2 Design Options to Reduce Missing Data; Run-in Periods and Enrichment Designs; Randomized Withdrawal Studies; Choice of Target Population; Titration and Flexible Dosing; Add-on Studies; Shorter Assessment Periods; Rescue Mediations; Follow-up Data. | |
| 505 | 8 | |a Definition of Ascertainable OutcomesSample Size; 4.3 Considerations; 5 Trial Conduct Considerations; 5.1 Introduction; 5.2 Trial Conduct Options to Reduce Missing Data; Actions for Design and Management Teams; Actions for Investigators and Site Personnel; 5.3 Considerations; Part III ANALYTIC CONSIDERATIONS; 6 Methods of Estimation; 6.1 Introduction; 6.2 Least Squares; 6.3 Maximum Likelihood; 6.4 Generalized Estimating Equations; 6.5 Considerations; 7 Models and Modeling Considerations; 7.1 Introduction; 7.2 Correlation between Repeated Measurements; 7.3 Time Trends; 7.4 Model Formulation. | |
| 505 | 8 | |a 7.5 Modeling Philosophies8 Methods of Dealing with Missing Data; 8.1 Introduction; 8.2 Complete Case Analysis; 8.3 Simple Forms of Imputation; 8.4 Multiple Imputation; 8.5 Inverse Probability Weighting; 8.6 Modeling Approaches; Ignorable Methods; Non-Ignorable Methods; 8.7 Considerations; Part IV ANALYSES AND THE ANALYTIC ROAD MAP; 9 Analyses of Incomplete Data; 9.1 Introduction; 9.2 Simple Methods for Incomplete Data; 9.3 Likelihood-Based Analyses of Incomplete Data; 9.4 Multiple Imputation-Based Methods; 9.5 Weighted Generalized Estimating Equations; 9.6 Doubly Robust Methods. | |
| 505 | 8 | |a 9.7 Considerations10 MNAR Analyses; 10.1 Introduction; 10.2 Selection Models; 10.3 Shared Parameter Models; 10.4 Pattern-Mixture Models; 10.5 Controlled Imputation Methods; 10.6 Considerations; 11 Choosing Primary Estimands and Analyses; 11.1 Introduction; 11.2 Estimands, Estimators, and Choice of Data; Estimand 1; Difference in Outcome Improvement at the Planned Endpoint for all Randomized Subjects; Estimand 2; Difference in Outcome Improvement in Tolerators; Estimand 3; Difference in Outcome Improvement if all Subjects that Tolerated or Adhered; Estimand 4. | |
| 505 | 8 | |a Difference in Areas under the Outcome Curve During Adherence to TreatmentEstimand 5; Difference in Outcome Improvement During Adherence to Treatment; Estimand 6; Difference in Outcome Improvement in all Randomized Patients at the Planned Endpoint of the Trial Attributable to the Initially Randomized Medication; 11.3 Considerations; 12 The Analytic Road Map; 12.1 Introduction; 12.2 The Analytic Road Map; 12.3 Testable Assumptions; Standard Diagnostics; Influence Diagnostics; 12.4 Assessing Sensitivity to Missing Data Assumptions; 12.5 Considerations; 13 Analyzing Incomplete Categorical Data. | |
| 520 | |a Focuses on the prevention and treatment of missing data in longitudinal clinical trials, looking at key principles and explaining analytic methods. | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Clinical trials |v Longitudinal studies. | |
| 650 | 0 | |a Medical sciences |x Statistical methods. | |
| 650 | 0 | |a Regression analysis |x Data processing. | |
| 650 | 6 | |a Études cliniques |v Études longitudinales. | |
| 650 | 6 | |a Sciences de la santé |x Méthodes statistiques. | |
| 650 | 6 | |a Analyse de régression |x Informatique. | |
| 650 | 7 | |a MEDICAL |x Biostatistics. |2 bisacsh | |
| 650 | 7 | |a Clinical trials |2 fast | |
| 650 | 7 | |a Medical sciences |x Statistical methods |2 fast | |
| 650 | 7 | |a Regression analysis |x Data processing |2 fast | |
| 655 | 7 | |a Longitudinal studies |2 fast | |
| 758 | |i has work: |a Preventing and treating missing data in longitudinal clinical trials (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGkWVHYCPRjQdTTmTg3mV3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Mallinckrodt, Craig. |t Preventing and Treating Missing Data in Longitudinal Clinical Trials : A Practical Guide. |d Cambridge : Cambridge University Press, ©2013 |z 9781107031388 |
| 830 | 0 | |a Practical guides to biostatistics and epidemiology. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1113106 |z Texto completo |
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