Posts tagged: Open Science

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What Do We Mean by Bias in Health Data Research?

A reference guide to what bias means in health data research and the distinct types you meet in electronic health records and other health datasets.

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Why Synthetic Data is Good for Open Science

Understanding the benefits of synthetic data for open science and reproducibility.

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Applying the Open-Closed Principle to Research Code

Applying the Open/Closed Principle is how you stop accidentally changing yesterday's results.

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The Single Responsibility Principle for Scientists Who Write Code

Exploring the Single Responsibility Principle in the context of scientific programming and data analysis.

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Accidental Functional Programming in Rust (From an Epidemiologist's Perspective)

Rust quietly pushes you into functional patterns. An epidemiologist explains Result, match, enums, iterators, and when readability beats idioms.

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How to Create a Codelist

A practical guide to creating codelists from scratch for health data research.

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What is a Codelist?

What are codelists and why do they matter? An accessible introduction to coding systems, clinical nuance, and research reproducibility.

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Code Review for Research Code

An overview of how to conduct a code review for research code

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