George J Knafl

Summary

Affiliation: Oregon Health and Science University
Country: USA

Publications

  1. ncbi Factor analysis model evaluation through likelihood cross-validation
    George J Knafl
    School of Nursing, Oregon Health and Science University, 3455 SW US Veterans Hospital Road, Portland, OR 97239, USA
    Stat Methods Med Res 16:77-102. 2007
  2. ncbi Parents' perceptions of functioning in families having a child with a genetic condition
    Kathleen A Knafl
    Oregon Health and Science University, School of Nursing, Portland, OR, USA
    J Genet Couns 16:481-92. 2007
  3. ncbi Analysis of cross-sectional univariate measurements for family dyads using linear mixed modeling
    George J Knafl
    School of Nursing, University of North Carolina at Chapel Hill 27599 7460, USA
    J Fam Nurs 15:130-51. 2009
  4. ncbi Electronic monitoring device event modelling on an individual-subject basis using adaptive Poisson regression
    George J Knafl
    School of Nursing, Yale University, New Haven, CT, USA
    Stat Med 23:783-801. 2004
  5. ncbi Mixed models incorporating intra-familial correlation through spatial autoregression
    George J Knafl
    Yale University, School of Nursing, 100 Church Street South, New Haven, CT 06536-0740, USA
    Res Nurs Health 28:348-56. 2005
  6. ncbi An analysis of electronically monitored adherence to antiretroviral medications
    George J Knafl
    School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7460, USA
    AIDS Behav 14:755-68. 2010
  7. ncbi Comparison of health-related quality of life questionnaires in ambulatory oncology
    Mary E Cooley
    Phyllis F Cantor Center for Research in Nursing and Patient Care Services, Dana Farber Cancer Institute, Boston, MA 02115, USA
    Qual Life Res 14:1239-49. 2005

Research Grants

  1. Modeling HIV Subjects' Electronic Monitoring Device Data
    George Knafl; Fiscal Year: 2006

Detail Information

Publications7

  1. ncbi Factor analysis model evaluation through likelihood cross-validation
    George J Knafl
    School of Nursing, Oregon Health and Science University, 3455 SW US Veterans Hospital Road, Portland, OR 97239, USA
    Stat Methods Med Res 16:77-102. 2007
    ..This approach is demonstrated through example analyses using baseline data for three survey instruments from a clinical trial involving adolescents with type 1 diabetes...
  2. ncbi Parents' perceptions of functioning in families having a child with a genetic condition
    Kathleen A Knafl
    Oregon Health and Science University, School of Nursing, Portland, OR, USA
    J Genet Couns 16:481-92. 2007
    ..The clusters were non-categorical in the sense that they did not depend on the type of genetic condition. These findings point to the importance of addressing family functioning as part of genetic counseling...
  3. ncbi Analysis of cross-sectional univariate measurements for family dyads using linear mixed modeling
    George J Knafl
    School of Nursing, University of North Carolina at Chapel Hill 27599 7460, USA
    J Fam Nurs 15:130-51. 2009
    ..Thus, it is recommended that IFC be reported as standard practice reflecting the fact that a family dyad is more than just the aggregate of two individuals. Moreover, not accounting for IFC can affect the conclusions...
  4. ncbi Electronic monitoring device event modelling on an individual-subject basis using adaptive Poisson regression
    George J Knafl
    School of Nursing, Yale University, New Haven, CT, USA
    Stat Med 23:783-801. 2004
    ..Models are compared using k-fold likelihood cross-validation...
  5. ncbi Mixed models incorporating intra-familial correlation through spatial autoregression
    George J Knafl
    Yale University, School of Nursing, 100 Church Street South, New Haven, CT 06536-0740, USA
    Res Nurs Health 28:348-56. 2005
    ..Fixed effects involving general linear models can be included as well. Example analyses were conducted to demonstrate the use of the spatial autoregressive approach for modeling intra-familial correlation...
  6. ncbi An analysis of electronically monitored adherence to antiretroviral medications
    George J Knafl
    School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7460, USA
    AIDS Behav 14:755-68. 2010
    ..These results demonstrate the effectiveness of adaptive methods for comprehensive analysis of MEMS data...
  7. ncbi Comparison of health-related quality of life questionnaires in ambulatory oncology
    Mary E Cooley
    Phyllis F Cantor Center for Research in Nursing and Patient Care Services, Dana Farber Cancer Institute, Boston, MA 02115, USA
    Qual Life Res 14:1239-49. 2005
    ..6% for the SDS to 78.5% for the SF-36, and 80% completion rates ranged from 98.7% for the SDS to 94.9% for the SF-36. Administration of standardized HR-QOL questionnaires is feasible in the clinical setting...

Research Grants2

  1. Modeling HIV Subjects' Electronic Monitoring Device Data
    George Knafl; Fiscal Year: 2006
    ..We will evaluate these methods, using available EMD data for HIV subjects, to assess their usefulness in the understanding, treatment, and prevention of HIV disease/AIDS. ..