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Goodness-of-Fit Test01:16

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The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Fit and misfit.

Margaret H Crighton1, Jennifer H Lingler, Mary Beth Happ

  • 1Department of acute and Tertiary Care, Department of Health and Community System, University of Pittsburg School of Nursing, Pittsburg, PA 15261, USA. mhapp@pitt.edu

Research in Gerontological Nursing
|January 8, 2011
PubMed
Summary
This summary is machine-generated.

This study examines an older adult

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Area of Science:

  • Geriatric Oncology
  • Behavioral Decision Theory
  • Medical Decision Making

Background:

  • Treatment decisions in acute myeloid leukemia (AML) are complex for older adults.
  • Behavioral decision theory offers frameworks for understanding these choices.
  • Geriatric oncology requires tailored decision-making support.

Purpose of the Study:

  • To analyze an older adult's treatment decision-making process for AML.
  • To evaluate the utility of behavioral decision theory constructs in geriatric oncology.
  • To identify themes influencing treatment choices in advanced cancer.

Main Methods:

  • Interpretive case analysis of interview and observational data.
  • Comparison of case data with constructs from behavioral decision theory.
  • Exploration of patient, clinician, and family member interplay.

Main Results:

  • Behavioral decision theory constructs like trade-offs and certainty effect showed some utility.
  • Patient preferences were often expressed through quality of life considerations, not direct treatment choices.
  • The 'Cage' theme highlighted the dilemma of undesirable treatment options and aggressive therapy consequences.

Conclusions:

  • Existing decision theory provides partial insight into geriatric oncology treatment choices.
  • Quality of life preferences are crucial in older adults' treatment decisions.
  • Further research is needed to develop practical theories for geriatric oncology decision support.