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Brian Egleston

Biographic Data

ID5537570
NAMEBrian Egleston
GIVEN NAMESBrian
FAMILY NAMEEgleston
SIGNATUREEGLESTON B
AFFILIATIONSDepartment of Biostatistics and Bioinformatics, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2000
LATEST PUBLICATION YEAR2018
H-INDEX0
  • Assessing patient readiness for personalized genomic medicine

    Open Access•Christopher J Frost, Irene L Andrulis et al.•ARTICLE•Journal of Community Genetics•2018

  • Understanding Treatment Disconnect and Mortality Trends in Renal Cell Carcinoma Using Tumor Registry Data

    Marc C Smaldone, Brian Egleston et al.•ARTICLE•Medical Care•2017•References: 21

    BACKGROUND AND OBJECTIVES: The paradoxical rise in overall and cancer-specific mortality despite increased detection and treatment of renal cell carcinoma (RCC) is termed "treatment disconnect." We reassess this phenomenon by evaluating impact of missing data and rising incidence on mortality trends. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using Surveillance, Epidemiology, and End Results data, we identified patients with RCC diagnosis from 1973…

  • Effect of Future Costs on Cost-Effectiveness of Medical Interventions Among Young Adults

    David Meltzer, Brian Egleston et al.•ARTICLE•Medical Care•2000•References: 11

    OBJECTIVES: Recent research based on a lifetime utility maximization model has suggested that cost-effectiveness analyses should account for all future costs, including medical costs for related and unrelated illnesses and nonmedical costs. This work has also shown that analyses that omit future costs are biased to favor interventions among the elderly that extend life over interventions that improve quality of life. However, the effect of includ…

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  • Effect of Future Costs on Cost-Effectiveness of Medical Interventions Among Young Adults

    David Meltzer, Brian Egleston et al.•ARTICLE•Medical Care•2000•References: 11

    OBJECTIVES: Recent research based on a lifetime utility maximization model has suggested that cost-effectiveness analyses should account for all future costs, including medical costs for related and unrelated illnesses and nonmedical costs. This work has also shown that analyses that omit future costs are biased to favor interventions among the elderly that extend life over interventions that improve quality of life. However, the effect of includ…

  • Understanding Treatment Disconnect and Mortality Trends in Renal Cell Carcinoma Using Tumor Registry Data

    Marc C Smaldone, Brian Egleston et al.•ARTICLE•Medical Care•2017•References: 21

    BACKGROUND AND OBJECTIVES: The paradoxical rise in overall and cancer-specific mortality despite increased detection and treatment of renal cell carcinoma (RCC) is termed "treatment disconnect." We reassess this phenomenon by evaluating impact of missing data and rising incidence on mortality trends. RESEARCH DESIGN, SUBJECTS, AND MEASURES: Using Surveillance, Epidemiology, and End Results data, we identified patients with RCC diagnosis from 1973…

  • Assessing patient readiness for personalized genomic medicine

    Open Access•Christopher J Frost, Irene L Andrulis et al.•ARTICLE•Journal of Community Genetics•2018

Medicine (3 works) · Nursing (2 works) · Psychological intervention (2 works) · Acknowledgement (1 works) · Bioinformatics (1 works) · Biology (1 works) · BRCA gene mutations in cancer (1 works) · Cancer (1 works) · Cohort (1 works) · Confidentiality (1 works)

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