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Addressing non-response data for standardized post-acute functional items
Chih Ying Li
, Hyunkyoung Kim
,
Brian Downer
, Mi Jung Lee
, Kenneth Ottenbacher
,
Yong Fang Kuo
Occupational Therapy
Pop Hlth & Hlth Disparities
Physical Therapy
Rehabilitation Sciences
Biostatistics & Data Science
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
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Keyphrases
Acute Setting
7%
Acutely Ill Patients
7%
At Discharge
15%
Brain Dysfunction
7%
Debility
7%
Fully Conditional Specification
7%
Functional Data
7%
Functional Status
7%
Improving Patient Care
7%
Imputed Values
7%
Inpatient Rehabilitation Facility
23%
Markov Chain Monte Carlo
7%
Medicaid
15%
Medicare
23%
Medicare Fee-for-service Beneficiaries
7%
Multiple Imputation
30%
Neurologic Conditions
7%
Non-response
100%
Orthopedic Disorders
7%
Outcome Quality
7%
Patient Care Outcomes
7%
Pattern-mixture Model
7%
Post-acute
100%
Quality Payment
7%
Reporting Quality
15%
Response Data
100%
Response Options
7%
Response Pattern
15%
Self-care
15%
Service-oriented Approach
15%
Spearman Correlation
7%
Weighted kappa
7%
Pharmacology, Toxicology and Pharmaceutical Science
Brain Dysfunction
100%
Cerebrovascular Accident
100%
Functional Status
100%
Mixture Model
100%
Oligophrenia
100%
Medicine and Dentistry
Apoplexy
25%
Brain Dysfunction
25%
Disease
25%
Functional Status
25%
Medicare
100%
Mixture Model
25%
Oligophrenia
25%
Orthopedics
25%
Patient Care
25%
Standardized Patient
25%
Mathematics
Conditionals
7%
Functional Data
7%
Functional Status
7%
Imputed Value
7%
Markov Chain Monte Carlo
7%
Multiple Imputation
30%
Nonresponse
100%
Pattern Mixture Model
7%
Response Data
100%
Response Pattern
15%
Spearman Correlation
7%
Nursing and Health Professions
Brain Dysfunction
25%
Cerebrovascular Accident
25%
Functional Status
25%
Medicare
100%
Oligophrenia
25%
Patient Care
25%
Self Care
50%
Standardized Patient
25%
Psychology
Markov Chain Monte Carlo
25%
Medicaid
50%
Medicare
100%
Mixture Model
25%
Self-Care
50%