Single Time Point Comparisons in Longitudinal Randomized Controlled Trials: Power and Bias in the Presence of Missing Data

BMC Medical Research Methodology- United Kingdom

doi 10.1186/s12874-016-0144-0

Full Text

Abstract

Available in

Categories

Health Informatics

Date

April 12, 2016

Authors

Erin L. Ashbeck

Melanie L. Bell

Publisher

Springer Science and Business Media LLC

Related search

A General Method for Handling Missing Binary Outcome Data in Randomized Controlled Trials

English

Defining, Evaluating, and Removing Bias Induced by Linear Imputation in Longitudinal Clinical Trials With MNAR Missing Data

Journal of Biopharmaceutical Statistics

English

Power in Randomized Group Comparisons: The Value of Adding a Single Intermediate Time Point to a Traditional Pretest-Posttest Design.

Psychological Methods

Philosophy of Science

English

A Pattern-Mixture Model Approach for Handling Missing Continuous Outcome Data in Longitudinal Cluster Randomized Trials

Statistics in Medicine

English

Risk of Bias of Randomized Controlled Trials Published in Orthopaedic Journals

BMC Medical Research Methodology

Health Informatics

English

Randomized Controlled Trials in Surgery: Are We Still Missing Something Important?

International Urogynecology Journal

English

Effects of Correlation and Missing Data on Sample Size Estimation in Longitudinal Clinical Trials

Pharmaceutical Statistics

English

Prm68 - Imputation Methods for Missing Data in Cost-Utility Analyses Alongside Randomized Controlled Trials: Aggregate or Non-Aggregate?

Value in Health

Occupational Health

English

Missing Data Frequency and Correlates in Two Randomized Surgical Trials for Urinary Incontinence in Women

International Urogynecology Journal

English