A 'missing not at random' (MNAR) and 'missing at random' (MAR) growth model comparison with a buprenorphine/naloxone clinical trial.

ABSTRACT:

Aims

To compare three missing data strategies: (i) the latent growth model that assumes the data are missing at random (MAR) model; (ii) the Diggle-Kenward missing not at random (MNAR) model, where dropout is a function of previous/concurrent urinalysis (UA) submissions; and (iii) the Wu-Carroll MNAR model where dropout is a function of the growth factors. DESIGN : Secondary data analysis of a National Drug Abuse Treatment Clinical Trials Network trial that examined a 7-day versus 28-day taper (i.e. stepwise decrease in buprenorphine/naloxone) on the likelihood of submitting an opioid-positive UA during treatment.

Setting

11 out-patient treatment settings in 10 US cities.

Participants

A total of 516 opioid-dependent participants.

Measurements

Opioid UAs provide

SUBMITTER: McPherson S 

PROVIDER: S-EPMC4270922 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature