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Computational Modeling of Neural Activities for Statistical Inference

Advanced Series on Mathematical Psychology
Contextuality from Quantum Physics to Psychology

Lecture Notes on Mathematical Modelling in the Life Sciences
Data-driven Modelling of Structured Populations : A Practical Guide to the Integral Projection Model

Chapman & Hall/CRC Biostatistics Series
Dynamical Biostatistical Models

Advances in Applied Mathematics
Dynamical Systems for Biological Modeling : An Introduction

Environmental Systems Analysis with MATLAB®

Essential Biostatistics : A Nonmathematical Approach

Excel for Statistics
Excel 2013 for Health Services Management Statistics : A Guide to Solving Practical Problems

Excel for Statistics
Excel 2016 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems

Excel for Statistics
Excel 2016 for Health Services Management Statistics : A Guide to Solving Problems

Experimental Design for Laboratory Biologists : Maximising Information and Improving Reproducibility

Experimental Design for the Life Sciences

Chapman & Hall/CRC Biostatistics Series
Exposure-Response Modeling : Methods and Practical Implementation

Fundamental Statistical Principles for the Neurobiologist : A Survival Guide

SpringerBriefs in Statistics : JSS Research Series in Statistics
Group-Sequential Clinical Trials with Multiple Co-Objectives

Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Handbook of Item Response Theory : Volume Two : Statistical Tools

Springer Proceedings in Mathematics & Statistics
Health Care Systems Engineering for Scientists and Practitioners : HCSE, Lyon, France, May 2015

Methods in Molecular Biology (New York, NY, United States)
Injury Models of the Central Nervous System : Methods and Protocols

Springer Undergraduate Texts in Mathematics and Technology
Introduction to Mathematical Biology : Modeling, Analysis, and Simulations

Introduction to Nonparametric Statistics for the Biological Sciences Using R