2 Cents on Medicine2017-01-17T22:43:14+01:00

2 Cents on Medicine

The course of a pandemic – epidemiological statistics in times of (describing) a crisis, pt. 2

A few weeks into the pandemic, the RKI switched its main reporting indicator from the absolute case numbers to the time dependent case reproduction number R(t). R(t) represents the number of unaffected persons that are infected by an index case.

The course of a pandemic – epidemiological statistics in times of (describing) a crisis, pt. 1

Throughout the current Corona pandemic, epidemiological statistics are widely used in everyday life to an unprecedented rate. Various media use different indicators for all kinds of purposes, be it the honest attempt to objectively communicate the risk associated with SARS-CoV-2, or in order to up- or downplay the mortality rates.

Clinical prediction models in the COVID-19 pandemic

Facing the world-wide spread of coronavirus disease 2019 (COVID-19) infections with hospitals overcharged and a shortage of medical equipment in several countries, diagnostic and prediction models might help to identify patients with COVID-19 and predict the likelihood of the disease outcome (e.g. severity of disease, recovery, death).

By |May 19th, 2020|Categories: 2 Cents on Medicine, Biostatistics|Tags: , , |

Investigator Initiated Trials (IIT)

Can they demonstrate scientific merits and align with corporate objectives? Often initiated by researchers or investigators as a part of an observation, an Investigator Initiated Trial (IIT) or Investigator Sponsored Trial is one of the kind of clinical trials that take up specific questions from clinical care, such as therapy optimization or off-label use, and are usually of no economic interest.

Move Closer to your Patients in order to Improve Recruitment

Digital solutions - such as online study portals – can bring patients, researchers, and industry closer together. Thereby, they can provide value to sponsors during the planning and patient recruitment stages of clinical trials or observational studies.

Digitalisierung im Gesundheitswesen, Teil 2

Der Mensch ist keine gefühllose Maschine, die beliebig zerlegt werden kann, um Fehler = Krankheiten und Reparaturen = Therapien einfach so zu erkennen und zu beheben. Die medizinische Forschung ist deshalb in den wichtigsten Disziplinen eine empirische Wissenschaft, also eine methodische Sammlung von Daten und daraus abgeleiteten Erkenntnissen.