Since the Mid-2010s FDA Drug and Biologic Guidelines have been Growing at a Faster Clip than Prior Years: Is it Time to Analyze Their Effectiveness?-Reference-Cited by-同舟云学术

Since the Mid-2010s FDA Drug and Biologic Guidelines have been Growing at a Faster Clip than Prior Years: Is it Time to Analyze Their Effectiveness?

Published:2020-10-22 Issue:2 Volume:55 Page:437-439
ISSN:2168-4790
Container-title:Therapeutic Innovation & Regulatory Science
language:en
Short-container-title:Ther Innov Regul Sci

Author:

Daizadeh Iraj^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Public Health, Environmental and Occupational Health,Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s43441-020-00233-0.pdf

Reference22 articles.

1. Daizadeh I. Investigating rates of food and drug administration approvals and guidances in drug development: a structural breakpoint/cointegration timeseries analysis. Ther Innov Regul Sci. 2020. https://doi.org/10.1007/s43441-020-00123-5.

2. Horikoshi M, Tang Y (2016). ggfortify: Data Visualization Tools for Statistical Analysis Results. https://CRAN.R-project.org/package=ggfortify.

3. R Core Team (2020) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

4. Luciani A, Stok R (2020) bimets: Time Series and Econometric Modeling. R package version 1.5.1. https://CRAN.R-project.org/package=bimets.

5. Petris G. An R package for dynamic linear models. J Stat Softw. 2010;36(12):1–16.

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