Analyzing Longitudinal Clinical Trial Data

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Sprache: Englisch

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Beschreibung

Missing data in longitudinal clinical trials has justifiably been the target of considerable research. However, missing data is just one of the many considerations in the analysis of longitudinal data, and focus on the data we don't have should not distract from focus on the data we do have. The statistical theory relevant to analyses of longitu

Über den Autor

Craig Mallinckrodt and Ilya Lipkovich each have extensive experience in medical research and longitudinal analyses. Dr. Mallinckrodt is a Research Fellow at Eli Lilly and Company and a Fellow of the American Statistical Association. He has won numerous awards, including the 2014 award for statistical excellence in the Pharmaceutical Industry from the Royal Statistical Society and PSI (Statisticians in the Pharmaceutical Industry). Dr. Lipkovich is a Principal Scientific Advisor at Quintiles. He is a widely-published author and frequent presenter at conferences and has developed a number of successful short courses and tutorials.

Inhaltsverzeichnis

Background and Setting. Introduction. Objectives and estimands-determining what to estimate. Study design-collecting the intended data. Example data. Mixed effects models review.

Modeling the observed data. Choice of dependent variable and statistical test. modeling covariance (correlation). Modeling means over time. Accounting for covariates. Categorical data. Model checking and verification.

Methods for dealing with missing Data. Overview of missing data. Simple and ad hoc Approaches for dealing with missing data. Direct maximum likelihood. Multiple imputation. Inverse probability. Methods for incomplete categorical data weighted generalized estimated equations. Doubly robust methods. MNAR methods. Methods for incomplete categorical data.

A comprehensive approach to study development and analyses. Developing statistical analysis plans. Example analyses of clinical trial data.

Details

Erscheinungsjahr:	2020
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
ISBN-13:	9780367736583
ISBN-10:	0367736586
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Mallinckrodt, Craig Lipkovich, Ilya
Hersteller:	Chapman and Hall/CRC
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	234 x 156 x 18 mm
Von/Mit:	Craig Mallinckrodt (u. a.)
Erscheinungsdatum:	18.12.2020
Gewicht:	0,506 kg