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Related Concept Videos

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Statgraphics01:10

Statgraphics

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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

285
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
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Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

634
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
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Biostatistics: Overview01:20

Biostatistics: Overview

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Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
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Web based resource for Statistical Consultants in the Pharmaceutical Industry.

Alan Phillips1, Karen Smith2

  • 1Drug Development Solutions, ICON Clinical Research, Reading, UK.

Pharmaceutical Statistics
|November 30, 2022
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Summary

This article provides consulting statisticians with essential web resources for clinical trial design. It covers statistical concepts, regulatory guidelines, and free software to aid study planning.

Keywords:
free statistical softwareregulatory guidelinesstudy designwebsite

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Regulatory Science

Background:

  • Consulting statisticians require accessible resources for effective clinical trial design.
  • Navigating statistical concepts and regulatory requirements can be challenging.

Purpose of the Study:

  • To identify and present valuable web-based reference materials and software for clinical trial design.
  • To support statisticians in understanding complex statistical concepts and regulatory guidelines.

Main Methods:

  • Literature review of online resources.
  • Categorization of websites based on content: statistical explanations, regulatory information, and software tools.

Main Results:

  • A curated list of websites offering explanations of statistical concepts for non-statisticians.
  • Links to regulatory guidelines relevant to clinical trial design.
  • Identification of free statistical software for study design.

Conclusions:

  • Web-based resources can significantly enhance the efficiency and accuracy of clinical trial design.
  • Accessible information on statistical principles and regulations empowers statisticians.
  • Free software tools offer valuable support for study design processes.