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David M Rindskopf

Biographic Data

ID6076868
NAMEDavid M Rindskopf
GIVEN NAMESDavid M
FAMILY NAMERindskopf
SIGNATURERINDSKOPF D M
AFFILIATIONSAt the time of this study, Shiela M. Strauss, Mary T. Rosedale, and Navjot Kaur were with the College of Nursing, New York University, New York, NY. Michael A. Pesce was with the Columbia University Medical Center, New York. David M. Rindskopf was with the Graduate School and University Center of the City of New York. Caroline M. Juterbock, Dolores Malaspina, and Ann Danoff were with the NYU Langone Medical Center, New York University. Mark S. Wolff was with the College of Dentistry, New York University.
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2015
H-INDEX0
  • The Potential for Glycemic Control Monitoring and Screening for Diabetes at Dental Visits Using Oral Blood

    Shiela M Strau, Shiela M Strauss et al.•ARTICLE•American Journal of Public Health•2015•References: 14

    Objectives. We examined the potential for glycemic control monitoring and screening for diabetes in a dental setting among adults (n = 408) with or at risk for diabetes. Methods. In 2013 and 2014, we performed hemoglobin A1c (HbA1c) tests on dried blood samples of gingival crevicular blood and compared these with paired “gold-standard” HbA1c tests with dried finger-stick blood samples in New York City dental clinic patients. We examined differenc…

  • Single-Case Intervention Research Design Standards

    Open Access•Thomas R Kratochwill, John H Hitchcock et al.•ARTICLE•Remedial and Special Education•2013

    In an effort to responsibly incorporate evidence based on single-case designs (SCDs) into the What Works Clearinghouse (WWC) evidence base, the WWC assembled a panel of individuals with expertise in quantitative methods and SCD methodology to draft SCD standards. In this article, the panel provides an overview of the SCD standards recommended by the panel (henceforth referred to as the Standards) and adopted in Version 1.0 of the WWC’s official p…

  • Enhancing Drug Treatment Program Staff's Self-Efficacy to Support Patients' HCV Needs

    Shiela M Strau, Shiela M Strauss et al.•ARTICLE•Journal of Social Work Practice…•2011

    To increase HCV-related support for patients in substance abuse treatment programs, we implemented an on-site staff training in 16 programs throughout the United States. It aimed to increase participants' self-efficacy in assisting patients with their HCV-related needs. Findings indicate that participants' self-efficacy increased both 1- and 3-months post-training, resulting in providers' perceptions that they were better able to support patients…

  • Assessing the Consequences of Using Self-report Data to Determine the Correlates of HIV Status

    David Rindskopf, David M Rindskopf et al.•ARTICLE•Multivariate Behavioral Research•2003

    This article examines whether relationships between individual characteristics and HIV status can be identified when self-report data are used as a proxy for HIV serotest results. The analyses use data obtained from HIV serotests and face-to-face interviews with 7,256 out-of-treatment drug users in ten sites from 1992 to 1998. Relationships between 17 individual characteristics and HIV status (measured both by self-report and serotest results) we…

  • Modeling Relationships Between Two Categorical Variables When Data Are Missing

    Shiela M Strau, Shiela M Strauss et al.•ARTICLE•Multivariate Behavioral Research•2001

    Analysts evaluating the strengths of relationships between variables in behavioral science research must often contend with the problem of missing data. Analyses are typically performed using data for cases that are either complete in all the variables, or assume that the data are missing at random. Often, these approaches yield biased results. Using empirical data, the current work explores the implications and consequences of using various stat…

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  • Modeling Relationships Between Two Categorical Variables When Data Are Missing

    Shiela M Strau, Shiela M Strauss et al.•ARTICLE•Multivariate Behavioral Research•2001

    Analysts evaluating the strengths of relationships between variables in behavioral science research must often contend with the problem of missing data. Analyses are typically performed using data for cases that are either complete in all the variables, or assume that the data are missing at random. Often, these approaches yield biased results. Using empirical data, the current work explores the implications and consequences of using various stat…

  • Assessing the Consequences of Using Self-report Data to Determine the Correlates of HIV Status

    David Rindskopf, David M Rindskopf et al.•ARTICLE•Multivariate Behavioral Research•2003

    This article examines whether relationships between individual characteristics and HIV status can be identified when self-report data are used as a proxy for HIV serotest results. The analyses use data obtained from HIV serotests and face-to-face interviews with 7,256 out-of-treatment drug users in ten sites from 1992 to 1998. Relationships between 17 individual characteristics and HIV status (measured both by self-report and serotest results) we…

  • Enhancing Drug Treatment Program Staff's Self-Efficacy to Support Patients' HCV Needs

    Shiela M Strau, Shiela M Strauss et al.•ARTICLE•Journal of Social Work Practice…•2011

    To increase HCV-related support for patients in substance abuse treatment programs, we implemented an on-site staff training in 16 programs throughout the United States. It aimed to increase participants' self-efficacy in assisting patients with their HCV-related needs. Findings indicate that participants' self-efficacy increased both 1- and 3-months post-training, resulting in providers' perceptions that they were better able to support patients…

  • Single-Case Intervention Research Design Standards

    Open Access•Thomas R Kratochwill, John H Hitchcock et al.•ARTICLE•Remedial and Special Education•2013

    In an effort to responsibly incorporate evidence based on single-case designs (SCDs) into the What Works Clearinghouse (WWC) evidence base, the WWC assembled a panel of individuals with expertise in quantitative methods and SCD methodology to draft SCD standards. In this article, the panel provides an overview of the SCD standards recommended by the panel (henceforth referred to as the Standards) and adopted in Version 1.0 of the WWC’s official p…

  • The Potential for Glycemic Control Monitoring and Screening for Diabetes at Dental Visits Using Oral Blood

    Shiela M Strau, Shiela M Strauss et al.•ARTICLE•American Journal of Public Health•2015•References: 14

    Objectives. We examined the potential for glycemic control monitoring and screening for diabetes in a dental setting among adults (n = 408) with or at risk for diabetes. Methods. In 2013 and 2014, we performed hemoglobin A1c (HbA1c) tests on dried blood samples of gingival crevicular blood and compared these with paired “gold-standard” HbA1c tests with dried finger-stick blood samples in New York City dental clinic patients. We examined differenc…

Medicine (4 works) · Psychology (3 works) · Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Statistics (2 works) · Academic standards (1 works) · Adolescent Sexual and Reproductive Health (1 works) · Advanced Statistical Methods and Models (1 works) · Alcohol Consumption and Health Effects (1 works)

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