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Intuitive biostatistics with Python : a Python companion guide for life sciences professionals / Sébastien Wieckowski.

Oxford Scholarship Online: Biology Available online

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Format:
Book
Author/Creator:
Wieckowski, Sébastien, 1980- Author.
Language:
English
Subjects (All):
Biometry.
Biomathematics.
Python (Computer program language).
Place of Publication:
Oxford University Press USA, 2026.
Summary:
"This first chapter is a bit like hello world for a programmer, it's about getting our hands dirty with the simplest example possible. Here, it's about obtaining a numerical representation of the dataset, by calculating information like the mean and the standard deviation. The kind of thing we're taught in introductory statistics courses. In addition, understanding the concept of scatter is particularly crucial in biostatistics. It refers to the spread of data points around the central value. It helps us better understand the variability or diversity of a dataset"-- Provided by publisher.
Contents:
Quantifying scatter of continuous data
The Gaussian distribution
Confidence interval of a mean
Confidence interval of a proportion
Confidence interval of survival data
Confidence interval of counted data
Statistical significance
Statistical power and sample size
Normality tests and outlier
Comparing proportions
Comparing survival curves
Comparing two unpaired means
Comparing paired data
Correlation
Simple linear regression
Comparing models
Nonlinear regression
Multiple regression
Logistic regression
ANOVA
Meta-analysis.
ISBN:
9780197845875
9780197845882

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