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David Draper

Biographic Data

ID758690
NAMEDavid Draper
GIVEN NAMESDavid
FAMILY NAMEDraper
SIGNATUREDRAPER D
AFFILIATIONSUniversity of California, Santa Cruz
ORCID0000-0002-6367-3101
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR1978
LATEST PUBLICATION YEAR2016
H-INDEX0
  • A Nonparametric Bayesian Analysis of Heterogenous Treatment Effects in Digital Experimentation

    Matt Taddy, Matt Gardner et al.•ARTICLE•Journal of Business and Economic…•2016

    Randomized controlled trials play an important role in how Internet companies predict the impact of policy decisions and product changes. In these “digital experiments,” different units (people, devices, products) respond differently to the treatment. This article presents a fast and scalable Bayesian nonparametric analysis of such heterogenous treatment effects and their measurement in relation to observable covariates. New results and algorithm…

  • The Undiagnosed Diseases Program Integrated Collaboration System (Udpics)

    Open Access•Jessica Guzman, Elizabeth Lee et al.•ARTICLE•Children•2015

    The Undiagnosed Diseases Program (UDP) was started in 2008 with the goals of making diagnoses and facilitating related translational research. The individuals and families seen by the UDP are often unique and medically complex. Approximately 40% of UDP cases are pediatric. The Undiagnosed Diseases Program Integrated Collaboration System (UDPICS) was designed to create a collaborative workspace for researchers, clinicians and families. We describe…

  • Risk-adjusting Hospital Mortality Using a Comprehensive Electronic Record in an Integrated Health Care Delivery System

    Gabriel J Escobar, Marla N Gardner et al.•ARTICLE•Medical Care•2013•References: 32

    OBJECTIVE: Using a comprehensive inpatient electronic medical record, we sought to develop a risk-adjustment methodology applicable to all hospitalized patients. Further, we assessed the impact of specific data elements on model discrimination, explanatory power, calibration, integrated discrimination improvement, net reclassification improvement, performance across different hospital units, and hospital rankings. DESIGN: Retrospective cohort stu…

  • Effect of Choice of Estimation Method on Inter-Hospital Mortality Rate Comparisons

    Patricia Kipnis, Gabriel J Escobar et al.•ARTICLE•Medical Care•2010•References: 13

    OBJECTIVE: To evaluate and compare the use of 6 different methods for calculating expected mortality rates and standardized mortality ratios (SMRs) when performing interhospital mortality rate comparisons. DESIGN: Retrospective cohort study using actual and simulated hospitalization data to evaluate the use of (1) fixed-effects, (2) Generalized Linear Mixed Model, and (3) Bayesian (Markov Chain Monte Carlo-based) random-effects models on both agg…

  • Risk-Adjusting Hospital Inpatient Mortality Using Automated Inpatient, Outpatient, and Laboratory Databases

    Gabriel J Escobar, J Greene et al.•ARTICLE•Medical Care•2008•References: 31

    OBJECTIVES: To develop a risk-adjustment methodology that maximizes the use of automated physiology and diagnosis data from the time period preceding hospitalization. DESIGN: : Retrospective cohort study using split-validation and logistic regression. SETTING: Seventeen hospitals in a large integrated health care delivery system. SUBJECTS: Patients (n = 259,699) hospitalized between January 2002 and June 2005. MAIN OUTCOME MEASURES: Inpatient and…

  • A comparison of Bayesian and likelihood-based methods for fitting multilevel models

    Open Access•William J Browne, David Draper•ARTICLE•Bayesian Analysis•2006

    We use simulation studies, whose design is realistic for educational and medical research (as well as other fields of inquiry), to compare Bayesian and likelihood-based methods for fitting variance-components (VC) and random-effects logistic regression (RELR) models. The likelihood (and approximate likelihood) approaches we examine are based on the methods most widely used in current applied multilevel (hierarchical) analyses: maximum likelihood …

  • Proposal for a Master of Arts Degree in American Indian Studies

    Open Access•David E Draper, David Draper•ARTICLE•American Indian Culture and…•1978

    One of the most pressing problems encountered in the Indian community, the severe lack of American Indian professionals, calls for an organized effort in encouraging Native Americans to pursue postgraduate education. This lack of professionals is proportionately greater than in any other ethnic minority. The graduate program in American Indian studies is viewed as a necessary step in alleviating this problem. For example, there are now over forty…

No prominent works on this page.

  • Proposal for a Master of Arts Degree in American Indian Studies

    Open Access•David E Draper, David Draper•ARTICLE•American Indian Culture and…•1978

    One of the most pressing problems encountered in the Indian community, the severe lack of American Indian professionals, calls for an organized effort in encouraging Native Americans to pursue postgraduate education. This lack of professionals is proportionately greater than in any other ethnic minority. The graduate program in American Indian studies is viewed as a necessary step in alleviating this problem. For example, there are now over forty…

  • A comparison of Bayesian and likelihood-based methods for fitting multilevel models

    Open Access•William J Browne, David Draper•ARTICLE•Bayesian Analysis•2006

    We use simulation studies, whose design is realistic for educational and medical research (as well as other fields of inquiry), to compare Bayesian and likelihood-based methods for fitting variance-components (VC) and random-effects logistic regression (RELR) models. The likelihood (and approximate likelihood) approaches we examine are based on the methods most widely used in current applied multilevel (hierarchical) analyses: maximum likelihood …

  • Risk-Adjusting Hospital Inpatient Mortality Using Automated Inpatient, Outpatient, and Laboratory Databases

    Gabriel J Escobar, J Greene et al.•ARTICLE•Medical Care•2008•References: 31

    OBJECTIVES: To develop a risk-adjustment methodology that maximizes the use of automated physiology and diagnosis data from the time period preceding hospitalization. DESIGN: : Retrospective cohort study using split-validation and logistic regression. SETTING: Seventeen hospitals in a large integrated health care delivery system. SUBJECTS: Patients (n = 259,699) hospitalized between January 2002 and June 2005. MAIN OUTCOME MEASURES: Inpatient and…

  • Effect of Choice of Estimation Method on Inter-Hospital Mortality Rate Comparisons

    Patricia Kipnis, Gabriel J Escobar et al.•ARTICLE•Medical Care•2010•References: 13

    OBJECTIVE: To evaluate and compare the use of 6 different methods for calculating expected mortality rates and standardized mortality ratios (SMRs) when performing interhospital mortality rate comparisons. DESIGN: Retrospective cohort study using actual and simulated hospitalization data to evaluate the use of (1) fixed-effects, (2) Generalized Linear Mixed Model, and (3) Bayesian (Markov Chain Monte Carlo-based) random-effects models on both agg…

  • Risk-adjusting Hospital Mortality Using a Comprehensive Electronic Record in an Integrated Health Care Delivery System

    Gabriel J Escobar, Marla N Gardner et al.•ARTICLE•Medical Care•2013•References: 32

    OBJECTIVE: Using a comprehensive inpatient electronic medical record, we sought to develop a risk-adjustment methodology applicable to all hospitalized patients. Further, we assessed the impact of specific data elements on model discrimination, explanatory power, calibration, integrated discrimination improvement, net reclassification improvement, performance across different hospital units, and hospital rankings. DESIGN: Retrospective cohort stu…

  • The Undiagnosed Diseases Program Integrated Collaboration System (Udpics)

    Open Access•Jessica Guzman, Elizabeth Lee et al.•ARTICLE•Children•2015

    The Undiagnosed Diseases Program (UDP) was started in 2008 with the goals of making diagnoses and facilitating related translational research. The individuals and families seen by the UDP are often unique and medically complex. Approximately 40% of UDP cases are pediatric. The Undiagnosed Diseases Program Integrated Collaboration System (UDPICS) was designed to create a collaborative workspace for researchers, clinicians and families. We describe…

  • A Nonparametric Bayesian Analysis of Heterogenous Treatment Effects in Digital Experimentation

    Matt Taddy, Matt Gardner et al.•ARTICLE•Journal of Business and Economic…•2016

    Randomized controlled trials play an important role in how Internet companies predict the impact of policy decisions and product changes. In these “digital experiments,” different units (people, devices, products) respond differently to the treatment. This article presents a fast and scalable Bayesian nonparametric analysis of such heterogenous treatment effects and their measurement in relation to observable covariates. New results and algorithm…

Statistics (5 works) · Computer Science (4 works) · Medicine (4 works) · Internal Medicine (3 works) · Internal Medicine (3 works) · Mathematics (3 works) · Sepsis Diagnosis and Treatment (3 works) · Bayesian probability (2 works) · Econometrics (2 works) · Emergency Medicine (2 works)

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