Selected article for: "cc international license and logistic regression"
Author: Maximilian F Konig; Mike Powell; Verena Staedtke; Ren-Yuan Bai; David L Thomas; Nicole Fischer; Sakibul Huq; Adham M Khalafallah; Allison Koenecke; Nickolas Papadopoulos; Kenneth W Kinzler; Bert Vogelstein; Joshua T Vogelstein; Susan Athey; Shibin Zhou; Chetan Bettegowda
Title: Targeting the catecholamine-cytokine axis to prevent SARS-CoV-2 cytokine storm syndrome
  • Document date: 2020_4_8
    • ID: 0lwmzjxz_6
    Snippet: Due to the difficulty of determining from claims data whether individuals were taking their prescribed medication at any given time, we defined prior use as patients having filled ⍺1-AR antagonist prescription (doxazosin, prazosin, silodosin, terazosin, or tamsulosin) in the year preceding the event for more than an aggregate of 180 days. Logistic regression models were used to estimate odds ratios (OR), adjusted odds ratios (AOR), and confiden.....
    Document: Due to the difficulty of determining from claims data whether individuals were taking their prescribed medication at any given time, we defined prior use as patients having filled ⍺1-AR antagonist prescription (doxazosin, prazosin, silodosin, terazosin, or tamsulosin) in the year preceding the event for more than an aggregate of 180 days. Logistic regression models were used to estimate odds ratios (OR), adjusted odds ratios (AOR), and confidence intervals (CI) correlating receipt of ⍺1-AR antagonists with two separate . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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