A robust interrupted time series model for analyzing complex health care intervention data-Reference-Cited by-同舟云学术

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A robust interrupted time series model for analyzing complex health care intervention data

Published:2017-08-29 Issue:29 Volume:36 Page:4660-4676
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Cruz Maricela¹,Bender Miriam²^ORCID,Ombao Hernando¹³

Affiliation:

1. Department of Statistics; University of California; Irvine CA USA

2. Sue & Bill Gross School of Nursing; University of California; Irvine CA USA

3. Statistics Program; King Abdullah University of Science and Technology (KAUST); Thuwal Saudi Arabia

Funder

Commission on Nurse Certification

Eugene Cota-Robles Fellowship

NSF Graduate Research Fellowship

NSF MMS

NSF DMS

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference37 articles.

1. Lessons from complex interventions to improve health;Hawe;Annu Rev Public Health,2015

2. Challenges to evaluating complex interventions: a content analysis of published papers;Datta;BMC Public Health,2013

3. What are the components of complex interventions in healthcare? theorizing approaches to parts, powers and the whole intervention;Clark;Soc Sci Med,2013

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