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Joan Neuner

Biographic Data

ID5534614
NAMEJoan Neuner
GIVEN NAMESJoan
FAMILY NAMENeuner
SIGNATURENEUNER J
AFFILIATIONSMedical College of Wisconsin
ORCID0000-0003-0031-5988
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS6
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2007
LATEST PUBLICATION YEAR2021
H-INDEX1
  • The role of residential history in cancer research

    Open Access•Sima Namin, Y Zhou et al.•ARTICLE•Social Science & Medicine•2021

  • Using Group-based Trajectory Models and Propensity Score Weighting to Detect Heterogeneous Treatment Effects

    Aaron N Winn, Nicole M Fergestrom et al.•ARTICLE•Medical Care•2019•References: 27

    BACKGROUND: We extend an interrupted time series study design to identify heterogenous treatment effects using group-based trajectory models (GBTMs) to identify groups before a new policy and then examine if the effects of the policy has consistent impacts across groups using propensity score weighting to balance individuals within trajectory groups who are and are not exposed to the policy change. We explore this by examining how adherence to en…

  • Catalyzing Transdisciplinarity

    Open Access•Scott Graham, S Scott Graham et al.•ARTICLE•Qualitative Health Research•2017•References: 40

    Effectively addressing wicked health problems, that is, those arising from complex multifactorial biological and socio-economic causes, requires transdisciplinary action. However, a significant body of research points toward substantial difficulties in cultivating transdisciplinary collaboration. Accordingly, this article presents the results of a study that adapts Systems Ethnography and Qualitative Modeling (SEQM) in response to wicked health p…

  • Reexamining the Relationship of Breast Cancer Hospital and Surgical Volume to Mortality

    Liliana E Pezzin, Purushottam Laud et al.•ARTICLE•Medical Care•2015•References: 22

    OBJECTIVE: To reexamine the relationship of hospital and surgical volume to all-cause and breast cancer-specific mortality, taking into account the potential selection bias in patients treated at high-volume centers or by high-volume surgeons. DATA SOURCES: Elderly (65+) women with early-stage, incident breast cancer surgery in 2003. STUDY DESIGN: A population-based, prospective survey study. METHODS: Two-stage, instrumental variable regression m…

  • Relationship Between Number of Breast Cancer Operations Performed and 5-Year Survival After Treatment for Early-Stage Breast Cancer

    Mary Ann Gilligan, Joan Neuner et al.•ARTICLE•American Journal of Public Health•2007•Cited by: 6•References: 23

    Objectives. We examined the association between number of breast cancer operations performed in a hospital (hospital volume) and all-cause and breast cancer–specific mortality using a national database and statistical methods appropriate for clustering and reducing confounding. Methods. In a retrospective cohort study, we linked Surveillance, Epidemiology, and End Results tumor registry data with Medicare claims data. The cohort included 11225 Me…

  • Relationship Between Number of Breast Cancer Operations Performed and 5-Year Survival After Treatment for Early-Stage Breast Cancer

    Mary Ann Gilligan, Joan Neuner et al.•ARTICLE•American Journal of Public Health•2007•Cited by: 6•References: 23

    Objectives. We examined the association between number of breast cancer operations performed in a hospital (hospital volume) and all-cause and breast cancer–specific mortality using a national database and statistical methods appropriate for clustering and reducing confounding. Methods. In a retrospective cohort study, we linked Surveillance, Epidemiology, and End Results tumor registry data with Medicare claims data. The cohort included 11225 Me…

  • Relationship Between Number of Breast Cancer Operations Performed and 5-Year Survival After Treatment for Early-Stage Breast Cancer

    Mary Ann Gilligan, Joan Neuner et al.•ARTICLE•American Journal of Public Health•2007•Cited by: 6•References: 23

    Objectives. We examined the association between number of breast cancer operations performed in a hospital (hospital volume) and all-cause and breast cancer–specific mortality using a national database and statistical methods appropriate for clustering and reducing confounding. Methods. In a retrospective cohort study, we linked Surveillance, Epidemiology, and End Results tumor registry data with Medicare claims data. The cohort included 11225 Me…

  • Reexamining the Relationship of Breast Cancer Hospital and Surgical Volume to Mortality

    Liliana E Pezzin, Purushottam Laud et al.•ARTICLE•Medical Care•2015•References: 22

    OBJECTIVE: To reexamine the relationship of hospital and surgical volume to all-cause and breast cancer-specific mortality, taking into account the potential selection bias in patients treated at high-volume centers or by high-volume surgeons. DATA SOURCES: Elderly (65+) women with early-stage, incident breast cancer surgery in 2003. STUDY DESIGN: A population-based, prospective survey study. METHODS: Two-stage, instrumental variable regression m…

  • Catalyzing Transdisciplinarity

    Open Access•Scott Graham, S Scott Graham et al.•ARTICLE•Qualitative Health Research•2017•References: 40

    Effectively addressing wicked health problems, that is, those arising from complex multifactorial biological and socio-economic causes, requires transdisciplinary action. However, a significant body of research points toward substantial difficulties in cultivating transdisciplinary collaboration. Accordingly, this article presents the results of a study that adapts Systems Ethnography and Qualitative Modeling (SEQM) in response to wicked health p…

  • Using Group-based Trajectory Models and Propensity Score Weighting to Detect Heterogeneous Treatment Effects

    Aaron N Winn, Nicole M Fergestrom et al.•ARTICLE•Medical Care•2019•References: 27

    BACKGROUND: We extend an interrupted time series study design to identify heterogenous treatment effects using group-based trajectory models (GBTMs) to identify groups before a new policy and then examine if the effects of the policy has consistent impacts across groups using propensity score weighting to balance individuals within trajectory groups who are and are not exposed to the policy change. We explore this by examining how adherence to en…

  • The role of residential history in cancer research

    Open Access•Sima Namin, Y Zhou et al.•ARTICLE•Social Science & Medicine•2021

Medicine (4 works) · Breast cancer (3 works) · Cancer (3 works) · Internal Medicine (3 works) · Internal Medicine (3 works) · Breast Cancer Treatment Studies (2 works) · Confidence interval (2 works) · Global Cancer Incidence and Screening (2 works) · Oncology (2 works) · Oncology (2 works)

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