Statistical methods in SUPPORT.

Published

Journal Article

The analysis and interpretation of the data collected in SUPPORT provide great potential for understanding the relationships among treatment choices, patient and physician values and preferences, perceptions about the risks and benefits of treatments, institutional characteristics, and outcomes (as measured by quality of life, survival, and satisfaction). The complicated analyses required to elucidate these relationships will pose many technical challenges in dealing with longitudinal observational data collected from seriously ill patients at multiple sites. Major challenges include the handling of incomplete data, proper parameterization of treatment effects, strategies to avoid various potential biases, validating predictive models, and constructing endpoints that combine survival with quality of life. Within the structure of the SUPPORT study, mechanisms have been established to guide the analyses and to ensure their quality and validity.

Full Text

Duke Authors

Cited Authors

  • Harrell, FE; Marcus, SE; Layde, PM; Broste, SK; Cook, EF; Wagner, DP; Muhlbaier, LH; Peck, SL

Published Date

  • 1990

Published In

Volume / Issue

  • 43 Suppl /

Start / End Page

  • 89S - 98S

PubMed ID

  • 2254801

Pubmed Central ID

  • 2254801

International Standard Serial Number (ISSN)

  • 0895-4356

Digital Object Identifier (DOI)

  • 10.1016/0895-4356(90)90227-g

Language

  • eng

Conference Location

  • United States