Goldacre, B. I Think You’ll Find It’s A Bit More Complicated Than That, Fourth Estate (8 Oct. 2015) ISBN-10: 9780007505142, ISBN-13: 978-0007505142
A very readable and funny popular science account, drawn from Goldacre’s newspaper column Bad Science, of the use and misuse of statistics in research.
Textbooks
Bate, S. T. & Clark, R. A, The Design and Statistical Analysis of Animal Experiments, Cambridge University Press (13 Mar. 2014), ISBN-10: 1107690943, ISBN-13: 978-1107690943
Arguably the reference work for any researcher involved with designing animal experiments.
Gelman A., Hill J. & Vehtari, Regression and Other Stories, Cambridge University Press (23 July 2020), ISBN-10: 1107676517, ISBN-13: 978-1107676510
An extremely practical book about how to use regression methods to solve real problems in research.
Holmes, S. & Huber, W. Modern Statistics for Modern Biology, Cambridge University Press (28 Feb. 2019), ISBN-10: 1108705294, ISBN-13: 978-1108705295
Possibly the definitive guide to the use and application of modern computational statistics from a biological perspective.
McElreath, R. Statistical Rethinking, Chapman and Hall/CRC (16 Mar. 2020), ISBN-10: 036713991X, ISBN-13: 978-0367139919
My favourite introduction to statistical thinking, that gets to the heart of using statistics as a tool to aid understanding your research.
Pearl, J. Causal Inference in Statistics: A Primer Wiley (19 Feb. 2016), ISBN-10L 1119186846, ISBN-13: 978-1119186847
An approachable introduction to understanding where we can, and cannot, infer causality from data analysis.