In 19xx the United States Food and Drug administration was created to "QUOTE".
Since XXXX they have <Task relevant to what they do, i.e. how many drugs they have approved>.
In 2007, they began requiring that drug developers register and publish clinical trials on \url{https://clinicaltrials.gov}.
This provides a public mechanism where clinical trial sponsors are responsible to explain
what they are trying to acheive and how it will be measured, as well as provide the public the ability to
search and find trials that they might enroll in.
%this has become part of multiple datasets (cortellis) used to evaluate what drugs might be entering the market soon.
This brings up a question: can we use this public data on clinical trials to describe what effects their success or failure?
In this work, I use updates to records on \url{https://ClinicalTrials.gov} to separate the effect of

%Describe how clinical trials fit into the drug development landscape and how they proceed
Clinical trials are a required part of drug development.
Not only does the FDA require that a series of clinical trials demonstrate sufficient safety and efficacy of
a novel pharmaceutical compound or device, producers of derivative medicines may be required to ensure that
their generic small molecule compound -- such as ibuprofen or levothyroxine -- matches the
performance of the originiator drug if delivery or dosage is changed.
For large molecule generics (termed biosimilars) such as Adalimumab
(Brand name Humira, with biosimilars Abrilada, Amjevita, Cyltezo, Hadlima, Hulio,
Hyrimoz, Idacio, Simlandi, Yuflyma, and Yusimry),
the biosimilars are required to prove they have similar efficacy and safety to the
reference drug.

When registering these clinical trials
% discuss how these are registered and what data is published.
% Include image and discuss stages
% Discuss challenges faced

% Introduce my work

At least in the world of drug development, these trials take place in a wider framework of Phases
% Now talk about phases, begin introducing work by Chris Adams
% Lead into lit review


% Causality

% Data

% Economic Model

% Results

% Conclusion
