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  1. Article ; Online: Rigorous Descriptive Epidemiology for Health Justice.

    Lesko, Catherine R / Zalla, Lauren C

    Epidemiology (Cambridge, Mass.)

    2023  Volume 34, Issue 6, Page(s) 838–840

    Language English
    Publishing date 2023-09-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1053263-8
    ISSN 1531-5487 ; 1044-3983
    ISSN (online) 1531-5487
    ISSN 1044-3983
    DOI 10.1097/EDE.0000000000001658
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: RE: "ELIMINATING AMBIGUOUS TREATMENT EFFECTS USING ESTIMANDS".

    Zalla, Lauren C / Lesko, Catherine R

    American journal of epidemiology

    2023  Volume 192, Issue 6, Page(s) 1029–1030

    MeSH term(s) Humans ; Research Design ; Models, Statistical
    Language English
    Publishing date 2023-03-21
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwad070
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  3. Article ; Online: RE: "A WARNING ABOUT USING PREDICTED VALUES TO ESTIMATE DESCRIPTIVE MEASURES".

    Lesko, Catherine R / Zalla, Lauren C

    American journal of epidemiology

    2022  Volume 192, Issue 5, Page(s) 844

    Language English
    Publishing date 2022-12-28
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwad024
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  4. Article ; Online: THE AUTHORS REPLY.

    Lesko, Catherine R / Fox, Matthew P / Edwards, Jessie K

    American journal of epidemiology

    2023  Volume 192, Issue 4, Page(s) 683

    Language English
    Publishing date 2023-01-09
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwad008
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  5. Article ; Online: THE AUTHORS REPLY.

    Lesko, Catherine R / Fox, Matthew P / Edwards, Jessie K

    American journal of epidemiology

    2023  Volume 192, Issue 4, Page(s) 680–681

    Language English
    Publishing date 2023-01-13
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwac216
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  6. Article ; Online: Lesko et al. Respond to "The Importance of Descriptive Epidemiology".

    Lesko, Catherine R / Fox, Matthew P / Edwards, Jessie K

    American journal of epidemiology

    2022  Volume 191, Issue 12, Page(s) 2073–2074

    Language English
    Publishing date 2022-07-27
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwac152
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  7. Article ; Online: The Promise, and Challenges, of Methods to Enhance the External Validity of Randomized Trial Results.

    Stuart, Elizabeth A / Lesko, Catherine R

    Clinical pharmacology and therapeutics

    2020  Volume 108, Issue 6, Page(s) 1132–1134

    MeSH term(s) Humans ; Patient Selection
    Language English
    Publishing date 2020-08-08
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 123793-7
    ISSN 1532-6535 ; 0009-9236
    ISSN (online) 1532-6535
    ISSN 0009-9236
    DOI 10.1002/cpt.1992
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  8. Article ; Online: A Framework for Descriptive Epidemiology.

    Lesko, Catherine R / Fox, Matthew P / Edwards, Jessie K

    American journal of epidemiology

    2022  Volume 191, Issue 12, Page(s) 2063–2070

    Abstract: In this paper, we propose a framework for thinking through the design and conduct of descriptive epidemiologic studies. A well-defined descriptive question aims to quantify and characterize some feature of the health of a population and must clearly ... ...

    Abstract In this paper, we propose a framework for thinking through the design and conduct of descriptive epidemiologic studies. A well-defined descriptive question aims to quantify and characterize some feature of the health of a population and must clearly state: 1) the target population, characterized by person and place, and anchored in time; 2) the outcome, event, or health state or characteristic; and 3) the measure of occurrence that will be used to summarize the outcome (e.g., incidence, prevalence, average time to event, etc.). Additionally, 4) any auxiliary variables will be prespecified and their roles as stratification factors (to characterize the outcome distribution) or nuisance variables (to be standardized over) will be stated. We illustrate application of this framework to describe the prevalence of viral suppression on December 31, 2019, among people living with human immunodeficiency virus (HIV) who had been linked to HIV care in the United States. Application of this framework highlights biases that may arise from missing data, especially 1) differences between the target population and the analytical sample; 2) measurement error; 3) competing events, late entries, loss to follow-up, and inappropriate interpretation of the chosen measure of outcome occurrence; and 4) inappropriate adjustment.
    MeSH term(s) Humans ; United States/epidemiology ; Bias ; Epidemiologic Studies ; Prevalence ; Ethnicity ; HIV Infections/epidemiology
    Language English
    Publishing date 2022-06-21
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwac115
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: HIV and COVID-19: Intersecting Epidemics With Many Unknowns.

    Lesko, Catherine R / Bengtson, Angela M

    American journal of epidemiology

    2020  Volume 190, Issue 1, Page(s) 10–16

    Abstract: As of July 2020, approximately 6 months into the pandemic of novel coronavirus disease 2019 (COVID-19), whether people living with human immunodeficiency virus (HIV; PLWH) are disproportionately affected remains an unanswered question. Thus far, risk of ... ...

    Abstract As of July 2020, approximately 6 months into the pandemic of novel coronavirus disease 2019 (COVID-19), whether people living with human immunodeficiency virus (HIV; PLWH) are disproportionately affected remains an unanswered question. Thus far, risk of COVID-19 in people with and without HIV appears similar, but data are sometimes contradictory. Some uncertainty is due to the recency of the emergence of COVID-19 and sparsity of data; some is due to imprecision about what it means for HIV to be a "risk factor" for COVID-19. Forthcoming studies on the risk of COVID-19 to PLWH should differentiate between 1) the unadjusted, excess burden of disease among PLWH to inform surveillance efforts and 2) any excess risk of COVID-19 among PLWH due to biological effects of HIV, independent of comorbidities that confound rather than mediate this effect. PLWH bear a disproportionate burden of alcohol, other drug use, and mental health disorders, as well as other structural vulnerabilities, which might increase their risk of COVID-19. In addition to any direct effects of COVID-19 on the health of PLWH, we need to understand how physical distancing restrictions affect secondary health outcomes and the need for, accessibility of, and impact of alternative modalities of providing ongoing medical, mental health, and substance use treatment that comply with physical distancing restrictions (e.g., telemedicine).
    MeSH term(s) COVID-19/epidemiology ; Comorbidity ; HIV ; HIV Infections/epidemiology ; Humans ; Pandemics ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-07-18
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwaa158
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  10. Article ; Online: Editorial: Robust Sensitivities.

    Lesko, Catherine R / Cole, Stephen R / Schisterman, Enrique F

    American journal of epidemiology

    2020  Volume 190, Issue 8, Page(s) 1437–1448

    MeSH term(s) Bias ; Epidemiologic Methods
    Language English
    Publishing date 2020-11-27
    Publishing country United States
    Document type Editorial ; Introductory Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2937-3
    ISSN 1476-6256 ; 0002-9262
    ISSN (online) 1476-6256
    ISSN 0002-9262
    DOI 10.1093/aje/kwab071
    Database MEDical Literature Analysis and Retrieval System OnLINE

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