Biometry.

Biostatistical analysis / by: (Language materials, printed)

Biostatistics : = experimental design and statistical inference / by: (Language materials, printed)

Statistics and experimental design : = an introduction for biologists and biochemists / by: (Language materials, printed)

Biostatistics : = a methodology for the health sciences / by: (Language materials, printed)

Biometry : = the principles and practice of statistics in biological research / by: (Language materials, printed)

Modeling experimental and observational data / by: (Language materials, printed)

Statistics : = a biomedical introduction / by: (Language materials, printed)

Statistics for biologists / by: (Language materials, printed)

Clinical biostatistics : = an introduction to evidence-based medicine / by: (Language materials, printed)

Randomization, bootstrap and Monte Carlo methods in biology / by: (Language materials, printed)

Biostatistics : = a Bayesian introduction / by: (Language materials, printed)

Statistical methods for rates and proportions / = Joseph L. Fleiss, Bruce Levin, Myunghee Cho Paik. by: (Language materials, printed)

An introduction to biostatistics / by: (Language materials, printed)

PDQ statistics by: (Language materials, printed)

Biostatistics = the bare essentials / by: (Language materials, printed)

Basic epidemiological methods and biostatistics = a practical guidebook / by: (Language materials, printed)

Biostatistics and epidemiology = a primer for health and biomedical professionals / by: (Language materials, printed)

Biostatistik : = [eine Einfuhrung fur Biologen und Agrarwissenschaftler] / by: (Language materials, printed)

Medical statistics made easy by: (Language materials, printed)

Regression Methods in Biostatistics = Linear, Logistic, Survival, and Repeated Measures Models / by: (Language materials, printed)

Mathematical modeling for the life sciences / by: (Language materials, printed)

Biostatistics for radiologists = planning, performing, and writing a radiologic study / by: (Language materials, printed)

Recent advances in biostatistics = false discovery rates, survival analysis, and related topics / by: (Electronic resources)

Biometrics and Kansei Engineering by: (Electronic resources)

Biostatistics decoded / by: (Language materials, printed)

Biostatistics for dummies / by: (Language materials, printed)

Statistical approaches to orofacial pain and temporomandibular disorders research by: (Electronic resources)

Statistical modelling in biostatistics and bioinformatics = selected papers / by: (Electronic resources)

Statistical analysis of next generation sequencing data by: (Electronic resources)

Oscillation and stability of delay models in biology by: (Electronic resources)

Growth curve analysis and visualization using R / by: (Language materials, printed)

Bayesian phylogenetics : = methods, algorithms, and applications / by: (Language materials, printed)

SPSS for starters and 2nd levelers by: (Electronic resources)

Biostatistics for epidemiology and public health using R / by: (Electronic resources)

An introduction to statistics with Python = with applications in the life sciences / by: (Electronic resources)

Excel 2016 for biological and life sciences statistics = a guide to solving practical problems / by: (Electronic resources)

Discriminative learning in biometrics by: (Electronic resources)

Statistical causal inferences and their applications in public health research by: (Electronic resources)

Principles of biostatistics / by: (Language materials, printed)

Repeated measures design with generalized linear mixed models for randomized controlled trials / by: (Language materials, printed)

Biostatistics and computer-based analysis of health data using R by: (Electronic resources)

Bayesian data analysis for animal scientists = the basics / by: (Electronic resources)

Mathematica for bioinformatics = a Wolfram language approach to omics / by: (Electronic resources)

Biostatistics and computer-based analysis of health data using Stata / by: (Electronic resources)

Pattern recognition and machine intelligence = 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017 : proceedings / by: (Electronic resources)

Excel 2019 for biological and life sciences statistics = a guide to solving practical problems / by: (Electronic resources)

Statistical modeling in biomedical research = contemporary topics and voices in the field / by: (Electronic resources)

Biometric identification technologies based on modern data mining methods by: (Electronic resources)

Biostatistics and computer-based analysis of health data using SAS by: (Electronic resources)

Modern statistical methods for health research by: (Electronic resources)

Computational and methodological statistics and biostatistics = contemporary essays in advancement / by: (Electronic resources)

An introduction to clustering with R by: (Electronic resources)

Meta-analysis = methods for health and experimental studies / by: (Electronic resources)

Singular spectrum analysis for time series by: (Electronic resources)

Statistics for health data science = an organic approach / by: (Electronic resources)

Systems biomedicine approaches in cancer research by: (Electronic resources)

Modern biostatistical methods for evidence-based global health research by: (Electronic resources)

Practical biostatistics = a step-by-step approach for evidence-based medicine / by: (Electronic resources)

Generalized linear mixed models with applications in agriculture and biology by: (Electronic resources)

Applied biostatistics for the health sciences by: (Electronic resources)

Statistics with applications to the biomedical science / by: (Language materials, printed)

Experimental design and data analysis for biologists / by: (Language materials, printed)

Introduction to biostatistics / by: (Language materials, printed)

Analysis of quantal response data / by: (Language materials, printed)

The life table and its applications / by: (Language materials, printed)

Models in biology : = mathematics, statistics, and computing / by: (Language materials, printed)

Biostatistics : = how it works / by: (Language materials, printed)

Regression methods in biostatistics : = linear, logistic, survival, and repeated measures models / by: (Language materials, printed)

Fundamentals of biostatistics / by: (Language materials, printed)

Mathematical essays on growth and the emergence of form by: (Language materials, printed)

Cause and correlation in biology = a user's guide to path analysis, structural equations, and causal inference / by: (Language materials, printed)

Experimental design and data analysis for biologists by: (Language materials, printed)

Random walks in biology by: (Language materials, printed)

Experimental design and analysis for tree improvement by: (Language materials, printed)

Randomization, bootstrap and Monte Carlo methods in biology / by: (Language materials, printed)

Mathematical Modeling for the Life Sciences by: (Language materials, printed)

Biostatistics and microbiology = a survival manual / by: (Language materials, printed)

Biometric systems for data analysis = design, evaluation, and data mining / by: (Language materials, printed)

The biostatistics cookbook = the most user-friendly guide for the bio/medical scientist / by: (Language materials, printed)

Biostatistics with R = an introduction to statistics through biological data / by: (Electronic resources)

Regression methods in biostatistics = linear, logistic, survival, and repeated measures models / by: (Electronic resources)

Selected works of Terry Speed by: (Electronic resources)

Choosing and using statistics : = a biologist's guide / by: (Language materials, printed)

Cause and Correlation in Biology : = A User's Guide to Path Analysis, Structural Equations and Causal Inference. by: (Electronic resources)

Practical biostatistics = a user-friendly approach for evidence-based medicine / by: (Electronic resources)

Introduction to data analysis and graphical presentation in biostatistics with R = statistics in the large / by: (Electronic resources)

Simultaneous statistical inference = with applications in the life sciences / by: (Electronic resources)

Biostatistics decoded by: (Electronic resources)

Applied statistical methods in agriculture, health and life sciences by: (Electronic resources)

Choosing and using statistics : = a biologist's guide / by: (Language materials, printed)

Progress in pattern recognition, image analysis, computer vision, and applications = 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015 : proceedings / by: (Electronic resources)

Secure IT systems = 20th Nordic Conference, NordSec 2015, Stockholm, Sweden, October 19-21, 2015 : proceedings / by: (Electronic resources)

Inference principles for biostatisticians / by: (Language materials, printed)

Fundamentals of biostatistics / by: (Language materials, printed)

Introductory biostatistics / by: (Language materials, printed)

Adaptive regression for modeling nonlinear relationships by: (Electronic resources)

Frontiers of biostatistical methods and applications in clinical oncology by: (Electronic resources)

Animal biometrics = techniques and applications / by: (Electronic resources)

Modern dose-finding designs for cancer phase I trials = drug combinations and molecularly targeted agents / by: (Electronic resources)

Biostatistics in public health using STATA by: (Electronic resources)

Methods and biostatistics in oncology = understanding clinical research as an applied tool / by: (Electronic resources)

Diagnostic meta-analysis = a useful tool for clinical decision-making / by: (Electronic resources)

Biometrics under biomedical considerations by: (Electronic resources)

Biostatistics for oncologists by: (Electronic resources)

Design of observational studies by: (Electronic resources)

Regression analysis in medical research = for Starters and 2nd Levelers / by: (Electronic resources)

Statistical methods for overdispersed count data by: (Electronic resources)

Objective biometric methods for the diagnosis and treatment of nervous system disorders by: (Electronic resources)

Phylogenetic trees and molecular evolution = a hands-on introduction with uncertainty quantification corrected / by: (Electronic resources)

An introduction to statistics with Python = with applications in the life sciences / by: (Electronic resources)

Advances in bioinformatics, biostatistics and omic sciences by: (Electronic resources)

Biometry for forestry and environmental data with examples in R by: (Electronic resources)

Advances in clinical immunology, medical microbiology, COVID-19, and Big data by: (Electronic resources)

A biostatistics toolbox for data analysis by: (Electronic resources)

Studying a study and testing a test = reading evidence-based health research / by: (Electronic resources)

Statistics for the life sciences / by: (Language materials, printed)

Nonparametric Bayesian inference in biostatistics by: (Electronic resources)