Subject Index

Author

A. J. Smit

Published

2026/04/17

1 Subject Index (A–Z)

This index is designed as a back-of-book retrieval tool for the BCB744 biostatistics chapters.

Entries are alphabetical. In place of page numbers, links point to chapter locations.

1.1 A

  • AIC (Akaike Information Criterion): 17, 25
  • ANOVA: 8
    • assumptions for ANOVA: 6
    • post-hoc contrasts: 8
  • assumptions: 6, 11

1.2 B

  • Bayesian inference: see inference, statistical
  • bias: 16
    • measurement bias: 16
    • omitted-variable bias: 16
  • boxplots: 3

1.3 C

  • causal interpretation: 14, 24
  • CLT (Central Limit Theorem): 4
  • collinearity: 16
  • confidence intervals: 5, 12, 24
  • confounding: 16
  • correlation: 9
    • correlation vs causation: 9, 24
  • cross-validation: 17, 25

1.4 D

  • data visualisation: 3
  • dependence (non-independence): 19
  • descriptive statistics: 2
  • diagnostics: 11, 17
  • distributions: 4

1.5 E

  • effect size: 5, 12
  • elastic net: 25
  • explanation vs prediction: 24

1.6 F

  • false discovery / Type I error: 5, 8

1.7 G

  • GAM (Generalised Additive Model): 21
  • GLM (Generalised Linear Model): 20

1.8 H

  • heteroscedasticity: 6, 11
  • hypothesis testing: 5

1.9 I

  • independence assumption: 6, 18, 19
  • interaction effects: 15

1.10 L

  • lasso: 25
  • likelihood: 5, 20
  • linear regression: 12, 14
  • link function: 20

1.11 M

  • measurement error: 16
  • mixed-effects models: 19
  • model checking: 11, 17
  • model selection: 10, 17, 25
  • multiple comparisons: 8
  • multiple regression: 14

1.12 N

  • nonlinear regression: 22
  • normality: 4, 6

1.13 O

  • overfitting: 17, 25

1.14 P

  • p-value: 5
  • partial residuals: 14
  • polynomial regression: 13
  • prediction intervals: 12, 24
  • pseudoreplication: 18

1.15 Q

  • QQ plot: 11
  • quantile regression: 23

1.16 R

  • regularisation: 25
    • ridge regression: 25
    • lasso: 25
    • elastic net: 25
  • reproducibility: 26
  • residual diagnostics: 11
  • robustness checks: 17

1.17 S

1.18 T

  • test selection: 10
  • t-tests: 7
  • transformations: 6
  • Type I and Type II error: 5

1.19 V

  • variance partitioning: 8
  • visualisation: 3

1.20 W

  • workflow, reproducible: 26

1.21 Cross-references

  • AIC: see also model selection; overfitting
  • correlation: see also causal interpretation; prediction vs explanation
  • independence: see also dependence; pseudoreplication; mixed-effects models
  • normality: see also assumptions; transformations
  • regularisation: see also overfitting; cross-validation; model selection

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Citation

BibTeX citation:
@online{smit2026,
  author = {Smit, A. J. and J. Smit, A.},
  title = {Subject {Index}},
  date = {2026-04-17},
  url = {https://tangledbank.netlify.app/BCB744/basic_stats/27-subject-index.html},
  langid = {en}
}
For attribution, please cite this work as:
Smit AJ, J. Smit A (2026) Subject Index. https://tangledbank.netlify.app/BCB744/basic_stats/27-subject-index.html.