Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial

Sterling McPherson; Celestina Barbosa‐Leiker; Michael McDonell; Donelle Howell; John Roll

doi:10.1002/hup.2339

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Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial

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Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial

Sterling McPherson, Celestina Barbosa‐Leiker, Michael McDonell, Donelle Howell and John Roll

Human psychopharmacology, Vol.28(5), pp.506-515

09/2013

DOI: https://doi.org/10.1002/hup.2339

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https://hdl.handle.net/2376/106022

PMCID: PMC3830126

PMID: 24014144

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Abstract

substance use disorder treatment

positive urine analysis imputation

multiple imputation

psychopharmacology clinical trials

generalized estimating equations

longitudinal missing data

Objective A review of substance use clinical trials indicates that sub‐optimal methods are the most commonly used procedures to deal with longitudinal missing information. Methods Listwise deletion (i.e., using complete cases only), positive urine analysis (UA) imputation, and multiple imputation (MI) were used to evaluate the effect of baseline substance use and buprenorphine/naloxone tapering schedule (7 or 28 days) on the probability of a positive UA (UA+) across the 4‐week treatment period. Results The listwise deletion generalized estimating equations (GEE) model demonstrated that those in the 28‐day taper group were less likely to submit a UA+ for opioids during the treatment period (odds ratios (OR) = 0.57, 95% confidence interval (CI): 0.39–0.83), as did the positive UA imputation model (OR = 0.43, CI: 0.34–0.55). The MI model also demonstrated a similar effect of taper group (OR = 0.57, CI: 0.42–0.77), but the effect size was more similar to that of the listwise deletion model. Conclusions Future researchers may find utilization of the MI procedure in conjunction with the common method of GEE analysis as a helpful analytic approach when the missing at random assumption is justifiable. Copyright © 2013 John Wiley & Sons, Ltd.

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Title: Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial
Creators: Sterling McPherson - Washington State University
Celestina Barbosa‐Leiker - Washington State University
Michael McDonell - University of Washington School of Medicine
Donelle Howell - Washington State University
John Roll - University of Washington School of Medicine
Publication Details: Human psychopharmacology, Vol.28(5), pp.506-515
Academic Unit: Nursing, College of; Elson S. Floyd College of Medicine; Medical Education and Clinical Science, Department of
Number of pages: 10
Identifiers: 99900546721801842
Language: English
Resource Type: Journal article