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Computational genomics with R

Probability and statistical inference: from basic principles to advanced models

Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports

Event mining: algorithms and applications

Medical statistics for cancer studies

Introduction to High-Dimensional Statistics

Introduction to high-dimensional statistics

Doing meta-analysis with R: a hands-on guide

Stochastic modelling for systems biology

Bayesian Applications in Environmental and Ecological Studies With R and Stan

Research Methodology: Techniques and Trends

Sampling strategies for natural resources and the environment

A first course in fuzzy logic

Handbook of mixture analysis

Handbook of mixture analysis

Introduction to the theory of optimization in Euclidean space

Introduction to the Theory of Optimization in Euclidean Space

Statistical and Econometric Methods for Transportation Data Analysis

Regression Modelling Wih Spatial and Spatial-Temporal Data: A Bayesian Approach

Biometry for forestry and environmental data with examples in R

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies

Economic evaluation of cancer drugs: using clinical trial and real-world data

Statistical and econometric methods for transportation data analysis.

Controlled Epidemiological Studies

Analysis of incidence rates

Advanced survival models

Analysis of incidence rates

Advanced Survival Models

Probability and statistics for data science: Math+R+Data

Medical Risk Prediction Models: With Ties to Machine Learning

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