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  1. Article: Back to the Basics in Predictive Modeling-Predicting Surgical Success.

    Terman, Samuel W

    Epilepsy currents

    2023  Volume 24, Issue 1, Page(s) 19–21

    Language English
    Publishing date 2023-11-06
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597231205437
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Making Up Missed Anti-Seizure Medication Doses: Double or Nothing?

    Terman, Samuel W

    Epilepsy currents

    2023  Volume 23, Issue 4, Page(s) 220–221

    Language English
    Publishing date 2023-04-27
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597231169414
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: What You Don't Know Can Hurt You: Psychiatric Effects of Prenatal Anti-Seizure Medications.

    Terman, Samuel W

    Epilepsy currents

    2023  Volume 23, Issue 6, Page(s) 366–368

    Language English
    Publishing date 2023-08-07
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597231191953
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Women With Epilepsy: Causes for Concern.

    Terman, Samuel W

    Epilepsy currents

    2022  Volume 23, Issue 1, Page(s) 11–13

    Language English
    Publishing date 2022-10-28
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597221130871
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Choose Your Own Adventure: Expert Advice at Your Fingertips.

    Terman, Samuel W

    Epilepsy currents

    2022  Volume 22, Issue 1, Page(s) 46–47

    Language English
    Publishing date 2022-01-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597211062385
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Deep Thoughts-Predicting Initial Treatment Response in Newly Diagnosed Epilepsy.

    Terman, Samuel W

    Epilepsy currents

    2022  Volume 23, Issue 2, Page(s) 90–92

    Language English
    Publishing date 2022-12-07
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597221139365
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Rise of the Machines? Predicting Brivaracetam Response Using Machine Learning.

    Terman, Samuel W

    Epilepsy currents

    2021  Volume 22, Issue 2, Page(s) 111–113

    Language English
    Publishing date 2021-10-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597211049052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Risky Business: Traumatic Brain Injury and Epilepsy.

    Terman, Samuel W

    Epilepsy currents

    2021  Volume 21, Issue 4, Page(s) 248–249

    Language English
    Publishing date 2021-03-31
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/15357597211005746
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Dollars and Sense: Cost-Effectiveness of Epilepsy Surgery.

    Terman, Samuel W

    Epilepsy currents

    2021  Volume 21, Issue 3, Page(s) 171–172

    Language English
    Publishing date 2021-02-22
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2270080-8
    ISSN 1535-7597
    ISSN 1535-7597
    DOI 10.1177/1535759721995191
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Use of item response theory to investigate disability-related questions in the National Health and Nutrition Examination Survey.

    Terman, Samuel W / Burke, James F

    SAGE open medicine

    2021  Volume 9, Page(s) 20503121211012253

    Abstract: Objectives: Accurately measuring disability is critical toward policy development, economic analyses, and determining individual-level effects of health interventions. Nationally representative population surveys such as the National Health and ... ...

    Abstract Objectives: Accurately measuring disability is critical toward policy development, economic analyses, and determining individual-level effects of health interventions. Nationally representative population surveys such as the National Health and Nutrition Examination Survey provide key opportunities to measure disability constructs such as activity limitations. However, only very limited work has previously evaluated the item response properties of questions pertaining to limitations in National Health and Nutrition Examination Survey.
    Methods: This was a cross-sectional study. We included participants ⩾20 years old for the 2013-2018 National Health and Nutrition Examination Survey cycles. Activity limitations, and a smaller number of body function impairments or participation restrictions, were determined from interview questions. We performed item response theory models (a two-parameter logistic and a graded response model) to characterize discriminating information along the latent continuum of activity limitation.
    Results: We included 17,057 participants. Although each particular limitation was somewhat rare (maximally 13%), 7214 (38%) responded having at least one limitation. We found a high amount of discriminating information at 1-2 standard deviations above average limitation, though essentially zero discrimination below that range. Items had substantial overlap in the range at which they provided information distinguishing individuals. The ordinal graded response model including 20 limitations provided greater information than the dichotomous two-parameter logistic model, though further omitting items from the graded response model led to loss of information.
    Conclusion: National Health and Nutrition Examination Survey disability-related questions, mostly specifically activity limitations, provided a high degree of information distinguishing individuals with higher than average limitations on the latent continuum, but essentially zero resolution to distinguish individuals with low or average limitations. Future work may focus on developing items which better distinguish individuals at the "lower" end of the limitation spectrum.
    Language English
    Publishing date 2021-04-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2735399-0
    ISSN 2050-3121
    ISSN 2050-3121
    DOI 10.1177/20503121211012253
    Database MEDical Literature Analysis and Retrieval System OnLINE

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