Title | A multiple imputation strategy for sequential multiple assignment randomized trials. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Shortreed, Susan M., Eric Laber, Scott T Stroup, Joelle Pineau, and Susan A. Murphy |
Journal | Stat Med |
Volume | 33 |
Issue | 24 |
Pagination | 4202-14 |
Date Published | 2014 Oct 30 |
ISSN | 1097-0258 |
Keywords | Antipsychotic Agents, Data Interpretation, Statistical, Decision Making, Humans, Longitudinal Studies, Randomized Controlled Trials as Topic, Regression Analysis, Schizophrenia |
Abstract | Sequential multiple assignment randomized trials (SMARTs) are increasingly being used to inform clinical and intervention science. In a SMART, each patient is repeatedly randomized over time. Each randomization occurs at a critical decision point in the treatment course. These critical decision points often correspond to milestones in the disease process or other changes in a patient's health status. Thus, the timing and number of randomizations may vary across patients and depend on evolving patient-specific information. This presents unique challenges when analyzing data from a SMART in the presence of missing data. This paper presents the first comprehensive discussion of missing data issues typical of SMART studies: we describe five specific challenges and propose a flexible imputation strategy to facilitate valid statistical estimation and inference using incomplete data from a SMART. To illustrate these contributions, we consider data from the Clinical Antipsychotic Trial of Intervention and Effectiveness, one of the most well-known SMARTs to date. |
DOI | 10.1002/sim.6223 |
Alternate Journal | Stat Med |
Original Publication | A multiple imputation strategy for sequential multiple assignment randomized trials. |
PubMed ID | 24919867 |
PubMed Central ID | PMC4184954 |
Grant List | N01MH90001 / MH / NIMH NIH HHS / United States P50 DA010075 / DA / NIDA NIH HHS / United States U54 EB020404 / EB / NIBIB NIH HHS / United States / CAPMC / CIHR / Canada P50 DA10075 / DA / NIDA NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 MH080015 / MH / NIMH NIH HHS / United States |
A multiple imputation strategy for sequential multiple assignment randomized trials.
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