George J Knafl
Affiliation: Oregon Health and Science University
- Factor analysis model evaluation through likelihood cross-validationGeorge 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...
- Parents' perceptions of functioning in families having a child with a genetic conditionKathleen 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...
- Analysis of cross-sectional univariate measurements for family dyads using linear mixed modelingGeorge 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...
- Electronic monitoring device event modelling on an individual-subject basis using adaptive Poisson regressionGeorge 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...
- Mixed models incorporating intra-familial correlation through spatial autoregressionGeorge 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...
- An analysis of electronically monitored adherence to antiretroviral medicationsGeorge 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...
- Comparison of health-related quality of life questionnaires in ambulatory oncologyMary 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...
- Modeling HIV Subjects' Electronic Monitoring Device DataGeorge 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. ..