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Books

Best Advanced Statistics Books | The Full List

Explore the essential collection of advanced statistics textbooks that form the foundation of modern statistical education and research. Our comprehensive analysis covers six pivotal works ...
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Collaborator

Causal Modeling Helps Machine Learning Find Better Drug Targets

In the rapidly advancing field of drug discovery, artificial intelligence and machine learning are revolutionizing how researchers identify potential therapeutic targets. While traditional predictive models ...
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Education

Educational and Career Resources in Public Health: A Comprehensive Guide

This comprehensive guide explores educational paths, online courses, and career opportunities in biostatistics—perfect for students, professionals, and researchers. Learn how to analyze health data, inform ...
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Statistics

Epidemiology vs. Biostatistics: What is the Difference? – A Comprehensive Guide

Discover how epidemiology and biostatistics work together to drive public health innovation. This comprehensive guide explores their history, core principles, methodologies, and real-world applications—from analyzing ...
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Books

Best Causal Inference Books | The Full List

The collection of works on causal inference and research design presents a comprehensive spectrum of approaches, methodologies, and applications across various fields, including epidemiology, economics, ...
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Blog

Training, Development, and Research–Our Partnership with Adoc Talent Management

We are thrilled to announce a new strategic partnership between The Biostatistics Group and Adoc Talent Management. As part of our ongoing commitment to provide ...
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Statistics

Biostatistics in Public Health: Principles, Methods, and Case-Studies – A Comprehensive Guide

Biostatistics plays a crucial role in public health by providing the statistical foundation for analyzing health data, designing studies, and guiding evidence-based decisions. From tracking ...
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Collaborator

How to Calculate Sample Size for Reliability Life Testing: A Step-by-Step Guide

Manufacturing companies conduct life tests on newly designed products before releasing it to the market. The test can help in identifying any potential weaknesses and ...
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Collaborator

Comparison of Failure Time Distributions For Time-to-Event (or Survival Analysis)–A Tutorial With Code

Applications involving comparison of time-to-failure data from different groups are common in the fields of reliability and manufacturing. For example, a designer might want to ...
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Collaborator

Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis: Part II

Explore advanced Weibull regression modeling with varying shape parameters in this follow-up reliability analysis. Building upon our previous ceramic bearings life test case study, we ...
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Collaborator

Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis

Discover parametric regression modeling for reliability data through a detailed analysis of ceramic ball bearings life test data. This article demonstrates Weibull regression techniques in ...
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Collaborator

Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis (Part II)

This article explores non-parametric testing methods for reliability and survival data analysis. Building on previous work, the author demonstrates how to conduct tests for trend ...
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