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Related Concept Videos

Statgraphics01:10

Statgraphics

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,...
Introduction to Statistics01:17

Introduction to Statistics

The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

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 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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Related Experiment Video

Updated: Jul 5, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Working with a statistician.

Nancy Berman1, Christina Gullíon

  • 1Statistical Research Associates, Washington, DC, USA.

Methods in Molecular Biology (Clifton, N.J.)
|May 3, 2008
PubMed
Summary
This summary is machine-generated.

Consulting a statistician requires clear communication and defined tasks for successful collaboration. This guide outlines when to seek statistical expertise and essential considerations for effective project management.

Related Experiment Videos

Last Updated: Jul 5, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Area of Science:

  • Statistics
  • Collaborative Research

Background:

  • Effective collaboration with statisticians is crucial for research success.
  • Understanding the optimal timing and reasons for consulting statistical experts is key.

Purpose of the Study:

  • To provide guidelines for engaging with statisticians.
  • To highlight the importance of clear communication and project definition.

Main Methods:

  • Discussion of when and why to consult a statistician.
  • Emphasis on communication, task definition, and timetables.
  • Exploration of security, confidentiality, and business aspects.

Main Results:

  • Clear communication and defined tasks are vital for statistician-client relationships.
  • Proactive planning regarding security and confidentiality is necessary.

Conclusions:

  • Successful statistical consultation hinges on effective communication and well-defined project parameters.
  • Adherence to guidelines ensures a productive and secure working relationship with statisticians.