Skip to content
GOLTC | Globe Icon
Globe Icon
GOLTC

GLOBAL
OBSERVATORY
OF LONG-TERM
CARE

Part of the International Long-Term Care Policy Network (ILPN)

 

Journal article

Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial

Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial

Data scienceOutcomes for unpaid/informal carersUnpaid / informal care United States Data science and LTC researchMachine learningTrials and other evaluations

KEYWORDS / CATEGORIES

Publication Type

Countries

Languages

Topics

| |

Methods

| |

Shepherd-Banigan, Megan, Valerie A. Smith, Jennifer H. Lindquist, Michael Paul Cary, Katherine EM Miller, Jennifer G. Chapman, and Courtney H. Van Houtven. “Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial.” Trials 21, no. 1 (2020): 1-10. https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-020-4113-x