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Hal S Stern

Biographic Data

ID7081989
NAMEHal S Stern
GIVEN NAMESHal S
FAMILY NAMEStern
SIGNATURESTERN H S
AFFILIATIONSUniversity of California, Irvine
ORCID0000-0002-5657-2820
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS2
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1992
LATEST PUBLICATION YEAR2022
H-INDEX1
  • The role of parental health and distress in assessing children’s health status

    Open Access•Sherrie H Kaplan, Marilou Shaughnessy et al.•ARTICLE•Quality of Life Research•2022

    Parent-child differences in this study of young children's health were related to parental distress. Exploring the nature of the gap between parents and children in assessments of children's health could improve effective clinical management for the child and enhance family-centered pediatric care. Future studies are needed to assess the generalizability of CHRIS 2.0 to other health settings and conditions and to other racial/ethnic groups

  • Prenatal maternal mood entropy is associated with child neurodevelopment

    Open Access•Mariann A Howland, Curt A Sandman et al.•ARTICLE•Emotion•2020

    Emerging evidence indicates that the predictability of signals early in life may influence the developing brain. This study examines links between a novel indicator of maternal mood dysregulation, mood entropy, and child neurodevelopmental outcomes. Associations between prenatal maternal mood entropy and child neurodevelopment were assessed in 2 longitudinal cohorts. Maternal mood was measured several times over pregnancy beginning as early as 15…

  • A Test by Any Other Name

    Hal S Stern•ARTICLE•Multivariate Behavioral Research•2016

    Procedures used for statistical inference are receiving increased scrutiny as the scientific community studies the factors associated with insuring reproducible research. This note addresses recent negative attention directed at p values, the relationship of confidence intervals and tests, and the role of Bayesian inference and Bayes factors, with an eye toward better understanding these different strategies for statistical inference. We argue th…

  • Bayesian Statistics

    Open Access•Hal S Stern•CHAPTER•International Encyclopedia of the…•2015

  • The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant

    Andrew Gelman, Hal Stern et al.•ARTICLE•The American Statistician•2006

    It is common to summarize statistical comparisons by declarations of statistical significance or nonsignificance. Here we discuss one problem with such declarations, namely that changes in statistical significance are often not themselves statistically significant. By this, we are not merely making the commonplace observation that any particular threshold is arbitrary—for example, only a small change is required to move an estimate from a 5.1% si…

  • Bayesian Data Analysis

    Andrew Gelman, John B Carlin et al.•BOOK•Bayesian Data Analysis•2003

  • Are all linear paired comparison models empirically equivalent

    Open Access•Hal Stern, Hal S Stern•ARTICLE•Mathematical Social Sciences•1992•Cited by: 2•References: 20

  • Are all linear paired comparison models empirically equivalent

    Open Access•Hal Stern, Hal S Stern•ARTICLE•Mathematical Social Sciences•1992•Cited by: 2•References: 20

  • Are all linear paired comparison models empirically equivalent

    Open Access•Hal Stern, Hal S Stern•ARTICLE•Mathematical Social Sciences•1992•Cited by: 2•References: 20

  • Bayesian Data Analysis

    Andrew Gelman, John B Carlin et al.•BOOK•Bayesian Data Analysis•2003

  • The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant

    Andrew Gelman, Hal Stern et al.•ARTICLE•The American Statistician•2006

    It is common to summarize statistical comparisons by declarations of statistical significance or nonsignificance. Here we discuss one problem with such declarations, namely that changes in statistical significance are often not themselves statistically significant. By this, we are not merely making the commonplace observation that any particular threshold is arbitrary—for example, only a small change is required to move an estimate from a 5.1% si…

  • Bayesian Statistics

    Open Access•Hal S Stern•CHAPTER•International Encyclopedia of the…•2015

  • A Test by Any Other Name

    Hal S Stern•ARTICLE•Multivariate Behavioral Research•2016

    Procedures used for statistical inference are receiving increased scrutiny as the scientific community studies the factors associated with insuring reproducible research. This note addresses recent negative attention directed at p values, the relationship of confidence intervals and tests, and the role of Bayesian inference and Bayes factors, with an eye toward better understanding these different strategies for statistical inference. We argue th…

  • Prenatal maternal mood entropy is associated with child neurodevelopment

    Open Access•Mariann A Howland, Curt A Sandman et al.•ARTICLE•Emotion•2020

    Emerging evidence indicates that the predictability of signals early in life may influence the developing brain. This study examines links between a novel indicator of maternal mood dysregulation, mood entropy, and child neurodevelopmental outcomes. Associations between prenatal maternal mood entropy and child neurodevelopment were assessed in 2 longitudinal cohorts. Maternal mood was measured several times over pregnancy beginning as early as 15…

  • The role of parental health and distress in assessing children’s health status

    Open Access•Sherrie H Kaplan, Marilou Shaughnessy et al.•ARTICLE•Quality of Life Research•2022

    Parent-child differences in this study of young children's health were related to parental distress. Exploring the nature of the gap between parents and children in assessments of children's health could improve effective clinical management for the child and enhance family-centered pediatric care. Future studies are needed to assess the generalizability of CHRIS 2.0 to other health settings and conditions and to other racial/ethnic groups

Computer Science (4 works) · Mathematics (4 works) · Psychology (4 works) · Statistics (4 works) · Econometrics (3 works) · Advanced Statistical Methods and Models (2 works) · Bayesian inference (2 works) · Bayesian probability (2 works) · Bayesian statistics (2 works) · Clinical Psychology (2 works)

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