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  1. Article: Interview: Der Epidemiologe Andreas Stang über die Datenlage zur Pandemie

    Stang, Andreas

    Deutsches Ärzteblatt : Ausgabe A, Praxis-Ausgabe : niedergelassene Ärzte

    2020  Volume 117, Issue 43, Page(s) 2030

    Language German
    Document type Article
    ZDB-ID 1453475-7
    ISSN 0012-1207
    Database Current Contents Medicine

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  2. Article: Interview. Qualifizierte Epidemiologen braucht das Land: Interview mit Andreas Stang zum PhD Programm "Epidemiology and Clinical Research"

    Stang, Andreas

    IPA-Journal

    2018  Volume -, Issue 1, Page(s) 28

    Language German
    Document type Article
    ZDB-ID 2528021-1
    ISSN 1612-9857
    Database Current Contents Medicine

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  3. Article ; Online: Evaluability of the Effect of Oncology Center Certification.

    Stang, Andreas

    Deutsches Arzteblatt international

    2023  Volume 120, Issue 39, Page(s) 645–646

    Language English
    Publishing date 2023-10-30
    Publishing country Germany
    Document type Editorial
    ZDB-ID 2406159-1
    ISSN 1866-0452 ; 1866-0452
    ISSN (online) 1866-0452
    ISSN 1866-0452
    DOI 10.3238/arztebl.m2023.0184
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A historical note about the sufficient cause model with special consideration of the work of Max Verworn 1912.

    Stang, Andreas

    Annals of epidemiology

    2023  Volume 85, Page(s) 1–2

    Abstract: Purpose: The aim of this paper is to present the historical roots of the sufficient component cause model, which is very well known in epidemiology.: Methods: I have analyzed Max Verworn's writings on the description of the sufficient component cause ...

    Abstract Purpose: The aim of this paper is to present the historical roots of the sufficient component cause model, which is very well known in epidemiology.
    Methods: I have analyzed Max Verworn's writings on the description of the sufficient component cause model.
    Results: Verworn introduced a precursor of the sufficient component cause model as early as 1912, possibly inspired by Ernst Mach. He argued for the abandonment of the concept of "cause" (singular). Instead, he preferred the term "conditions." Unlike Karl Pearson, Verworn was not opposed to causal considerations. However, according to Verworn, every process or state is determined by numerous conditions and not by a single factor or "cause." Instead of speaking of causalism, Verworn preferred to speak of conditionalism.
    Conclusions: The earliest description of the concept of the sufficient component cause model known in the epidemiological literature since 1976 dates back at least to 1912.
    MeSH term(s) Humans ; Causality
    Language English
    Publishing date 2023-06-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1074355-8
    ISSN 1873-2585 ; 1047-2797
    ISSN (online) 1873-2585
    ISSN 1047-2797
    DOI 10.1016/j.annepidem.2023.06.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Authors' Reply: Statistical inference and effect measures in abstracts of randomized trials, 1975-2021.

    Stang, Andreas / Rothman, Kenneth J

    European journal of epidemiology

    2024  

    Language English
    Publishing date 2024-01-04
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 632614-6
    ISSN 1573-7284 ; 0393-2990
    ISSN (online) 1573-7284
    ISSN 0393-2990
    DOI 10.1007/s10654-023-01081-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Cancer Mortality in Hamburg (Germany) 1872-2019.

    Stang, Andreas

    Deutsches Arzteblatt international

    2021  Volume 119, Issue 4, Page(s) 41–46

    Abstract: Background: For a number of reasons, the cause-of-death statistics of the city of Hamburg are one of the most valid sources of data for the study of secular trends in cancer mortality in Germany. In this article, cancer mortality in Hamburg over the ... ...

    Abstract Background: For a number of reasons, the cause-of-death statistics of the city of Hamburg are one of the most valid sources of data for the study of secular trends in cancer mortality in Germany. In this article, cancer mortality in Hamburg over the period 1872-2019 is presented.
    Methods: The sex-specific, raw, age-standardized (according to the world standard population), and age-specific cancer mortality rates for Hamburg, the German Empire, and the Federal Republic of Germany were determined from a variety of sources. The percentage of persons aged 60 and above in Hamburg was determined for the periods 1895-1950 and 1956-2019.
    Results: Raw cancer mortality rates rose in Hamburg from 1872 onward. After standardization for age, cancer mortality rates were nearly constant from 1905 to 1951. In contrast, age-standardized cancer mortality in Germany overall rose over the years 1905-1934, reaching the same level as Hamburg only in 1933. From 1951 onward, cancer mortality rose among men in Hamburg, reaching a maximum of 205 per 100 000 in 1967 and thereafter continually decreasing, down to a value of 120 per 100 000 in 2019. In women, cancer mortality was nearly constant from 1905 to 1958 and then fell continually until 2019 (85 per 100 000). The percentage of persons aged 60 or above was only 6% in 1895, 17% in 1950, and 23% in 2019.
    Conclusion: The high validity of cause-of-death statistics in Hamburg enabled an estimation of secular trends in cancer mortality. A steady decline in cancer mortality in all age groups and in both sexes was found in Hamburg, beginning in approximately 1990 at the latest.
    MeSH term(s) Cluster Analysis ; Female ; Germany/epidemiology ; Humans ; Male ; Mortality ; Neoplasms
    Language English
    Publishing date 2021-11-29
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2406159-1
    ISSN 1866-0452 ; 1866-0452
    ISSN (online) 1866-0452
    ISSN 1866-0452
    DOI 10.3238/arztebl.m2021.0375
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The pitfalls of focusing on cardiovascular disease mortality to explain differences in life expectancy.

    Stolpe, Susanne / Kowall, Bernd / Stang, Andreas

    European journal of epidemiology

    2024  Volume 39, Issue 3, Page(s) 335–337

    MeSH term(s) Humans ; Cardiovascular Diseases ; Life Expectancy ; Cause of Death ; Mortality
    Language English
    Publishing date 2024-01-10
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 632614-6
    ISSN 1573-7284 ; 0393-2990
    ISSN (online) 1573-7284
    ISSN 0393-2990
    DOI 10.1007/s10654-023-01089-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Estimates of excess mortality during the COVID-19 pandemic strongly depend on subjective methodological choices.

    Kowall, Bernd / Stang, Andreas

    Herz

    2023  Volume 48, Issue 3, Page(s) 180–183

    Abstract: Excess mortality is often used to assess the health impact of the COVID-19 pandemic. It involves comparing the number of deaths observed during the pandemic with the number of deaths that would counterfactually have been expected in the absence of the ... ...

    Title translation Schätzungen der Übersterblichkeit während der COVID-19-Pandemie hängen stark von subjektiven methodischen Entscheidungen ab.
    Abstract Excess mortality is often used to assess the health impact of the COVID-19 pandemic. It involves comparing the number of deaths observed during the pandemic with the number of deaths that would counterfactually have been expected in the absence of the pandemic. However, published data on excess mortality often vary even for the same country. The reason for these discrepancies is that the estimation of excess mortality involves a number of subjective methodological choices. The aim of this paper was to summarize these subjective choices. In several publications, excess mortality was overestimated because population aging was not adjusted for. Another important reason for different estimates of excess mortality is the choice of different pre-pandemic reference periods that are used to estimate the expected number of deaths (e.g., only 2019 or 2015-2019). Other reasons for divergent results include different choices of index periods (e.g., 2020 or 2020-2021), different modeling to determine expected mortality rates (e.g., averaging mortality rates from previous years or using linear trends), the issue of accounting for irregular risk factors such as heat waves and seasonal influenza, and differences in the quality of the data used. We suggest that future studies present the results not only for a single set of analytic choices, but also for sets with different analytic choices, so that the dependence of the results on these choices becomes explicit.
    MeSH term(s) Humans ; COVID-19 ; Pandemics ; Risk Factors ; Influenza, Human
    Language English
    Publishing date 2023-05-04
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 8262-4
    ISSN 1615-6692 ; 0340-9937 ; 0946-1299
    ISSN (online) 1615-6692
    ISSN 0340-9937 ; 0946-1299
    DOI 10.1007/s00059-023-05166-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Statistical inference and effect measures in abstracts of randomized controlled trials, 1975-2021. A systematic review.

    Stang, Andreas / Rothman, Kenneth J

    European journal of epidemiology

    2023  , Page(s) 1035–1042

    Abstract: Objective: To examine the time trend of statistical inference, statistical reporting style of results, and effect measures from the abstracts of randomized controlled trials (RCTs).: Study desgin and settings: We downloaded 385,867 PubMed abstracts ... ...

    Abstract Objective: To examine the time trend of statistical inference, statistical reporting style of results, and effect measures from the abstracts of randomized controlled trials (RCTs).
    Study desgin and settings: We downloaded 385,867 PubMed abstracts of RCTs from 1975 to 2021. We used text-mining to detect reporting of statistical inference (p-values, confidence intervals, significance terminology), statistical reporting style of results, and effect measures for binary outcomes, including time-to-event measures. We validated the text mining algorithms by random samples of abstracts.
    Results: A total of 320 676 abstracts contained statistical inference. The percentage of abstracts including statistical inference increased from 65% (1975) to 87% (2006) and then decreased slightly. From 1975 to 1990, the sole reporting of language regarding statistical significance was predominant. Since 1990, reporting of p-values without confidence intervals has been the most common reporting style. Reporting of confidence intervals increased from 0.5% (1975) to 29% (2021). The two most common effect measures for binary outcomes were hazard ratios and odds ratios. Number needed to treat and number needed to harm are reported in less than 5% of abstracts with binary endpoints.
    Conclusions: Reporting of statistical inference in abstracts of RCTs has increased over time. Increasingly, p-values and confidence intervals are reported rather than just mentioning the presence of "statistical significance". The reporting of odds ratios comes with the liability that the untrained reader will interpret them as risk ratios, which is often not justified, especially in RCTs.
    Language English
    Publishing date 2023-09-16
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 632614-6
    ISSN 1573-7284 ; 0393-2990
    ISSN (online) 1573-7284
    ISSN 0393-2990
    DOI 10.1007/s10654-023-01047-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Conference proceedings: Ignaz Philipp Semmelweis' Arbeit über die Wochenbett-Sepsis – ein Rückblick aus epidemiologischer Perspektive des 21. Jahrhunderts

    Stang, Andreas

    2021  , Page(s) Abstr. 326

    Event/congress 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); Berlin; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2020
    Keywords Medizin, Gesundheit ; puerperal sepsis ; history ; epidemiologic concepts
    Publishing date 2021-02-26
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/20gmds235
    Database German Medical Science

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