Search Results - "McCandless, Lawrence C."

Refine Results
  1. 1

    Prenatal exposure to endocrine disrupting chemical mixtures and infant birth weight: A Bayesian analysis using kernel machine regression by Hu, Janice M.Y., Arbuckle, Tye E., Janssen, Patricia, Lanphear, Bruce P., Zhuang, Liheng H., Braun, Joseph M., Chen, Aimin, McCandless, Lawrence C.

    Published in Environmental research (01-04-2021)
    “…Pregnant women are regularly exposed to a multitude of endocrine disrupting chemicals (EDCs). EDC exposures, both individually and as mixtures, may affect…”
    Get full text
    Journal Article
  2. 2

    Gestational exposure to endocrine disrupting chemicals in relation to infant birth weight: a Bayesian analysis of the HOME Study by Woods, Meghan M, Lanphear, Bruce P, Braun, Joseph M, McCandless, Lawrence C

    Published in Environmental health (27-10-2017)
    “…Pregnant women are exposed to a mixture of endocrine disrupting chemicals (EDCs). Gestational EDC exposures may be associated with changes in fetal growth that…”
    Get full text
    Journal Article
  3. 3
  4. 4
  5. 5
  6. 6

    Gestational exposure to organochlorine compounds and metals and infant birth weight: effect modification by maternal hardships by Hu, Janice M Y, Arbuckle, Tye E, Janssen, Patricia A, Lanphear, Bruce P, Alampi, Joshua D, Braun, Joseph M, MacFarlane, Amanda J, Chen, Aimin, McCandless, Lawrence C

    Published in Environmental health (01-07-2024)
    “…Gestational exposure to toxic environmental chemicals and maternal social hardships are individually associated with impaired fetal growth, but it is unclear…”
    Get full text
    Journal Article
  7. 7
  8. 8

    Very low-level prenatal mercury exposure and behaviors in children: the HOME Study by Patel, Nimesh B, Xu, Yingying, McCandless, Lawrence C, Chen, Aimin, Yolton, Kimberly, Braun, Joseph, Jones, Robert L, Dietrich, Kim N, Lanphear, Bruce P

    Published in Environmental health (09-01-2019)
    “…Mercury is toxic to the developing brain, but the lowest concentration associated with the development of behavior problems is unclear. The purpose of this…”
    Get full text
    Journal Article
  9. 9

    Bayesian propensity score analysis for observational data by McCandless, Lawrence C., Gustafson, Paul, Austin, Peter C.

    Published in Statistics in medicine (15-01-2009)
    “…In the analysis of observational data, stratifying patients on the estimated propensity scores reduces confounding from measured variables. Confidence…”
    Get full text
    Journal Article
  10. 10
  11. 11
  12. 12

    A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding by McCandless, Lawrence C., Gustafson, Paul

    Published in Statistics in medicine (15-08-2017)
    “…Bias from unmeasured confounding is a persistent concern in observational studies, and sensitivity analysis has been proposed as a solution. In the recent…”
    Get full text
    Journal Article
  13. 13

    Good practices for quantitative bias analysis by LASH, Timothy L, FOX, Matthew P, MACLEHOSE, Richard F, MALDONADO, George, MCCANDLESS, Lawrence C, GREENLAND, Sander

    Published in International journal of epidemiology (01-12-2014)
    “…Quantitative bias analysis serves several objectives in epidemiological research. First, it provides a quantitative estimate of the direction, magnitude and…”
    Get full text
    Journal Article
  14. 14

    Associations between methadone maintenance treatment and crime: a 17‐year longitudinal cohort study of Canadian provincial offenders by Russolillo, Angela, Moniruzzaman, Akm, McCandless, Lawrence C., Patterson, Michelle, Somers, Julian M.

    Published in Addiction (Abingdon, England) (01-04-2018)
    “…Aims To estimate and test the difference in rates of violent and non‐violent crime during medicated and non‐medicated methadone treatment episodes. Design,…”
    Get full text
    Journal Article
  15. 15
  16. 16

    When Is a Sensitivity Parameter Exactly That? by Gustafson, Paul, McCandless, Lawrence C.

    Published in Statistical science (01-02-2018)
    “…Sensitivity analysis is used widely in statistical work. Yet the notion and properties of sensitivity parameters are often left quite vague and intuitive…”
    Get full text
    Journal Article
  17. 17

    Association Between Gestational Exposure to Toxicants and Autistic Behaviors Using Bayesian Quantile Regression by Alampi, Joshua D, Lanphear, Bruce P, Braun, Joseph M, Chen, Aimin, Takaro, Tim K, Muckle, Gina, Arbuckle, Tye E, McCandless, Lawrence C

    Published in American journal of epidemiology (01-09-2021)
    “…Abstract Autism spectrum disorder, which is characterized by impaired social communication and stereotypic behaviors, affects 1%–2% of children. Although…”
    Get full text
    Journal Article
  18. 18

    Statin Use and Fracture Risk: Can We Quantify the Healthy-User Effect? by McCandless, Lawrence C.

    Published in Epidemiology (Cambridge, Mass.) (01-09-2013)
    “…Background: Numerous observational studies show that statin use is associated with lower risk of osteoporotic fractures. However, a causal relationship is not…”
    Get full text
    Journal Article
  19. 19
  20. 20

    Bayesian sensitivity analysis for unmeasured confounding in observational studies by McCandless, Lawrence C., Gustafson, Paul, Levy, Adrian

    Published in Statistics in medicine (20-05-2007)
    “…We consider Bayesian sensitivity analysis for unmeasured confounding in observational studies where the association between a binary exposure, binary response,…”
    Get full text
    Journal Article