Randomizing research participants: Promoting balance and concealment in small samples

Matthews, Ellyn E.; Cook, Paul F.; Terada, Masaka; Aloia, Mark S.

doi:10.1002/nur.20375

Cited by 12 publications

(9 citation statements)

References 46 publications

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“…After consent, women completed baseline questionnaires and a daily sleep diary for one week. Qualified women were randomly assigned to CBTI or BPT using an adaptive randomization program, controlling for age, insomnia severity, recruitment site, and breast cancer stage (Matthews, Cook, Terada, & Aloia, 2010). Participants, but not the study therapist, were blind to treatment condition.…”

Section: Methodsmentioning

confidence: 99%

Cognitive Behavioral Therapy for Insomnia Outcomes in Women After Primary Breast Cancer Treatment: A Randomized, Controlled Trial

Matthews¹,

Berger²,

Schmiege³

et al. 2014

Oncology Nursing Forum

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Section: Methodsmentioning

confidence: 99%

Cognitive Behavioral Therapy for Insomnia Outcomes in Women After Primary Breast Cancer Treatment: A Randomized, Controlled Trial

Matthews¹,

Berger²,

Schmiege³

et al. 2014

Oncology Nursing Forum

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“…One can apply the asymptotics of the IMU model given in this paper to compare various urn allocation methods instead of using only the simulation results given by Bhattacharya (2008). (ii) Urn models are also frequently employed in clinical studies to promote balance (see Matthews et al (2010) and the references therein). In such circumstances, IMU models should be considered as useful candidates.…”

Section: By Corollary 21mentioning

confidence: 99%

Immigrated urn models—theoretical properties and applications

Zhang¹,

Hu²,

Cheung³

et al. 2011

Ann. Statist.

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Urn models have been widely studied and applied in both scientific and social science disciplines. In clinical studies, the adoption of urn models in treatment allocation schemes has been proved to be beneficial to both researchers, by providing more efficient clinical trials, and patients, by increasing the likelihood of receiving the better treatment. In this paper, we propose a new and general class of immigrated urn (IMU) models that incorporates the immigration mechanism into the urn process. Theoretical properties are developed and the advantages of the IMU models are discussed. In general, the IMU models have smaller variabilities than the classical urn models, yielding more powerful statistical inferences in applications. Illustrative examples are presented to demonstrate the wide applicability of the IMU models. The proposed IMU framework, including many popular classical urn models, not only offers a unify perspective for us to comprehend the urn process, but also enables us to generate several novel urn models with desirable properties.1 imsart-aos ver.

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“…Due to the small sample size and to maintain balanced group placement, a restricted randomization procedure (Urn randomization) 12 was used for treatment group placement using the variables of gender, age, diagnostic AHI, and education.…”

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confidence: 99%

A Pilot Study Assessing Adherence to Auto-Bilevel Following a Poor Initial Encounter with CPAP

Powell

Ojile²,

Litinski³

et al. 2012

Journal of Clinical Sleep Medicine

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Study Objectives: We hypothesized that early intervention with an auto bilevel device would improve treatment adherence compared to CPAP among OSA patients with a poor initial experience with lab-based CPAP titration. Methods: Patients with a poor initial CPAP experience were recruited for this parallel group, randomized, double-blind, controlled pilot study. After an in-lab titration, patients were randomized with either an auto-bilevel device or CPAP. Treatment adherence and functioning were assessed at 90 days. Results: We enrolled 51 subjects, with 47 completing the protocol. Groups were equally matched for gender, age, education, and OSA severity. There was no signifi cant difference in the proportion of compliant subjects (≥ 4 h/night) between the auto bilevel and CPAP groups (62% vs. 54%; p = 0.624) after 90 days of use. Functional outcomes signifi cantly improved in both groups during treatment use (p < 0.001) but did not differ between groups. Conclusions: There was no statistically signifi cant difference in adherence between the auto bilevel and CPAP groups in this study. Patients with a poor initial CPAP exposure may still achieve an acceptable long-term clinical outcome. Both groups demonstrated comparably signifi cant improvements in functional outcomes, sleepiness, and fatigue complaints over the treatment period. Clinical Trials Information: NCT00635206 ClinicalTrials.gov Keywords: Treatment compliance, obstructive sleep apnea, continuous positive airway pressure, bilevel positive airway pressure, lung Citation: Powell ED; Gay PC; Ojile JM; Litinski M; Malhotra A. A pilot study assessing adherence to auto-bilevel following a poor initial encounter with CPAP.

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Randomizing research participants: Promoting balance and concealment in small samples

Cited by 12 publications

References 46 publications

Cognitive Behavioral Therapy for Insomnia Outcomes in Women After Primary Breast Cancer Treatment: A Randomized, Controlled Trial

Cognitive Behavioral Therapy for Insomnia Outcomes in Women After Primary Breast Cancer Treatment: A Randomized, Controlled Trial

Immigrated urn models—theoretical properties and applications

A Pilot Study Assessing Adherence to Auto-Bilevel Following a Poor Initial Encounter with CPAP

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