Biostatistics2017-01-17T22:37:23+01:00

# Biostatistics

## 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).

## Standard Deviation and Standard Error – What is the Difference?

When studying results of scientific publications one usually comes across standard deviations (SD) and standard errors (SE). However, even both measures are widely used the difference between them is not always clear to the readers. This article aims to clarify some important points and to provide a deeper understanding of SD and SE.

By |May 27th, 2019|Categories: Biostatistics||

## Intention-To-Treat (ITT) vs. Per-Protocol (PP) analysis: what to choose?

Differences between and characteristics of the Intention-To-Treat (ITT) vs. Per Protocol (PP) principles: which is the method of choice for the primary analysis of your clinical trial?

## What to consider when planning the sample size for a non-interventional study

The determination of an "adequate" sample size is an essential part of the statistical planning process. Depending on your type of non-interventional study design and your specific study objectives, there are different approaches for the planning of your sample size [...]

By |September 20th, 2017|Categories: Biostatistics, Study Design||
Go to Top