Penalized Logistic Regression Likelihood Ratio Test Analysis to Detect Signals of Adverse Events From Interactions in Postmarket Safety Surveillance-Reference-Cited by-同舟云学术

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Penalized Logistic Regression Likelihood Ratio Test Analysis to Detect Signals of Adverse Events From Interactions in Postmarket Safety Surveillance

Published:2020-05-18 Issue:4 Volume:13 Page:405-414
ISSN:1946-6315
Container-title:Statistics in Biopharmaceutical Research
language:en
Short-container-title:Statistics in Biopharmaceutical Research

Author:

Nam Kijoeng¹,Henderson Nicholas C.²,Rohan Patricia³,Russek-Cohen Estelle⁴

Affiliation:

1. BARDS, Merck & Co., Inc., North Wales, PA

2. Department of Biostatistics, University of Michigan, Ann Arbor, MI

3. Division of Epidemiology, Office of Biostatistics and Epidemiology, CBER, FDA, Silver Spring, MD

4. Office of Biostatistics, CDER, FDA, Silver Spring, MD

Funder

U.S. Food and Drug Administration

Publisher

Informa UK Limited

Subject

Pharmaceutical Science,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/19466315.2020.1752299

Reference22 articles.

1. Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post-marketing setting

2. The Risk of Seizures after Receipt of Whole-Cell Pertussis or Measles, Mumps, and Rubella Vaccine

3. Risk Factors for a First Febrile Seizure: A Matched Case-Control Study

4. Febrile Seizure Risk after Vaccination in Children One to Five Months of Age

5. Febrile Seizure Risk After Vaccination in Children 6 to 23 Months

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