Pattern-mixture models for analyzing normal outcome data with proxy respondents

Statistics in Medicine

Volumn 29, Issue 14, 2010, Pages 1522-1538

  Shardell, Michelle ^a   Hicks, Gregory E ^b   Miller, Ram R ^a   Langenberg, Patricia ^a   Magaziner, Jay ^a  

^a UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

Author keywords

Disability; Gerontology; Missing data; Pattern mixture models; Proxies; Sensitivity analysis

Indexed keywords

ADULT; AGED; ARTICLE; CAREGIVER; COGNITIVE DEFECT; COHORT ANALYSIS; CUSTODY; FEMALE; GERIATRICS; HIP FRACTURE; HUMAN; INTERVIEW; MAJOR CLINICAL STUDY; MALE; MAXIMUM LIKELIHOOD METHOD; MEASUREMENT ERROR; OUTCOME ASSESSMENT; PARAMETER; STATISTICAL ANALYSIS;

ACTIVITIES OF DAILY LIVING; AGED; AGED, 80 AND OVER; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; HIP FRACTURES; HUMANS; MALE; MODELS, STATISTICAL; PROXY; RESEARCH DESIGN;

EID: 77953691261     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3902     Document Type: Article

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