Visualization

by Statistical Consultancy Team

February 5, 2018

Risk-Based Monitoring and the Need for Programmers and Statisticians

The recent ICHGCP E6 (R2) addendum have resulted in the need for statistical programmers and biostatisticians to play an important role in risk-based monitoring

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by Statistical Consultancy Team

September 5, 2017

Top 3 Examples of Interactive Clinical Data Visualizations

Interactive clinical data visualization is a powerful tool to investigate data and share detailed insights in an efficient way. Learn more with these 3 examples

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by Nick Burch

September 27, 2016

Nick Burch Discusses Big Data in Clinical Trials [Video]

This video 'Big Data in Clinical Trials' was presented by Nick Burch, CTO at Quanticate at the 4th Annual ECDM conference this year in Princeton, NJ.

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by Commercial Team

February 5, 2016

4 Efficiencies of a Clinical Research Organization

Quanticate explores 4 efficiencies within Clinical Research Organizations (CROs) a sponsor should for short notice requests and to maximise a partnership

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by Statistical Consultancy Team

June 13, 2014

Efficient Data Reviews and Quality in Clinical Trials [Video]

A video of Kelci Miclaus from SAS JMP speaking at Clinical Data Live 2013, discussing Efficient Data Reviews and Quality in Clinical Trials.

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by Statistical Consultancy Team

October 28, 2013

Using the Statistical Programming Language R in the Pharma Industry

Quanticate looks at how the statistical programming language R is often underrated within the Pharmaceutical Industry and the advantages of this appoach

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by Clinical Programming Team

January 30, 2013

SAS Business Intelligence - A Perceptive Vision in Clinical Trials

When using SAS Business Intelligence in Clinical Trials, this infographic explores the process of how data arrives into the Web Report Studio

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by Statistical Consultancy Team

November 9, 2012

How a Centralized Approach to Data Impacts Clinical Study Design

This Quanticate blog post explores how centralized data in clinical trials can be used to take advantage of clinical study designs.

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