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The Capital Region of Denmark - a part of Copenhagen University Hospital
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Research Techniques Made Simple: Choosing Appropriate Statistical Methods for Clinical Research

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  1. Racial/Ethnic Differences in Incidence and Persistence of Childhood Atopic Dermatitis

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  2. Incidence and Risk of Inflammatory Bowel Disease in Patients with Psoriasis-A Nationwide 20-Year Cohort Study

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  3. SATB1 in Malignant T Cells

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  4. Increased Suicide Risk in Patients with Hidradenitis Suppurativa

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  5. Germline Variation at CDKN2A and Associations with Nevus Phenotypes among Members of Melanoma Families

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  1. Interleukin (IL)-17A and IL-22-producing neutrophils in psoriatic skin

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  2. Rapid allergen-induced interleukin-17 and interferon-γ secretion by skin-resident memory CD8(+) T cells

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Distinct molecular signatures of mild extrinsic and intrinsic atopic dermatitis

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. IL-17A- and IFNγ-Producing T Cells in Healthy Skin

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  5. Human atopic dermatitis skin-derived T cells can induce a reaction in mouse keratinocytes in vivo

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The statistical significance of results is an important component to drawing appropriate conclusions in a study. Choosing the correct statistical test to analyze results is essential in interpreting the validity of the study and centers on defining the study variables and purpose of the analysis. The complexity of statistical modeling makes this a daunting task, so we propose a basic algorithmic approach as an initial step in determining what statistical method will be appropriate for a particular clinical study.

Original languageEnglish
JournalThe Journal of investigative dermatology
Volume137
Issue number10
Pages (from-to)e173-e178
ISSN0022-202X
DOIs
Publication statusPublished - Oct 2017
Externally publishedYes

    Research areas

  • Journal Article

ID: 51778547