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References
Biostatistics for Clinicians
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1
Biostatistics for Clinicians
Part I: Foundations
2
Why Biostatistics Matters
3
Describing Data
4
Visualizing Clinical Data
Part II: Probability and Diagnosis
5
Probability and Clinical Reasoning
6
Diagnostic Test Evaluation
Part III: Study Design and Inference
7
Sampling Methods and Sample Size
8
Study Design, Bias, and Confounding
9
Statistical Inference — Confidence Intervals and Hypothesis Testing
Part IV: Comparing Groups
10
Comparing Groups — t-tests, ANOVA, and Non-parametric Alternatives
11
Categorical Data — Chi-square, Fisher’s, and Risk Measures
12
Correlation and Regression
Part V: Advanced Topics
13
Survival Analysis — Time-to-Event Data
14
Meta-Analysis and Evidence Synthesis
15
Bayesian Statistics — Basics
16
Machine Learning in Medical Sciences
17
Lecture Slides
18
How This Book Was Made
19
References
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References
Code
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How This Book Was Made
Source Code
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