Biometry.
Overview
| Works: | 131 works in 63 publications in 63 languages | |
|---|---|---|
Titles
Biometry = the principles and practice of statistics in biological research
by:
(Language materials, printed)
Statistics and experimental design : = an introduction for biologists and biochemists /
by:
(Language materials, printed)
Regression methods in biostatistics : = linear, logistic, survival, and repeated measures models /
by:
(Language materials, printed)
Statistical methods for rates and proportions / = Joseph L. Fleiss, Bruce Levin, Myunghee Cho Paik.
by:
(Language materials, printed)
Basic epidemiological methods and biostatistics = a practical guidebook /
by:
(Electronic resources)
Regression Methods in Biostatistics = Linear, Logistic, Survival, and Repeated Measures Models /
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)
Statistical approaches to orofacial pain and temporomandibular disorders research
by:
(Electronic resources)
Statistical modelling in biostatistics and bioinformatics = selected papers /
by:
(Electronic resources)
Bayesian phylogenetics : = methods, algorithms, and applications /
by:
(Language materials, printed)
Modern dose-finding designs for cancer phase I trials = drug combinations and molecularly targeted agents /
by:
(Electronic resources)
Biometric identification technologies based on modern data mining methods
by:
(Electronic resources)
Objective biometric methods for the diagnosis and treatment of nervous system disorders
by:
(Electronic resources)
Studying a study and testing a test = reading evidence-based health research /
by:
(Electronic resources)
An introduction to statistics with Python = with applications in the life sciences /
by:
(Electronic resources)
Practical biostatistics = a step-by-step approach for evidence-based medicine /
by:
(Electronic resources)
Introduction to data science in biostatistics = using R, the tidyverse ecosystem, and APIs /
by:
(Electronic resources)
Biostatistics : = a foundation for analysis in the health sciences /
by:
(Language materials, printed)
Biometry : = the principles and practice of statistics in biological research /
by:
(Language materials, printed)
Clinical biostatistics : = an introduction to evidence-based medicine /
by:
(Language materials, printed)
Biostatistics and epidemiology = a primer for health and biomedical professionals /
by:
(Electronic resources)
Biostatistik : = [eine Einfuhrung fur Biologen und Agrarwissenschaftler] /
by:
(Language materials, printed)
Cause and correlation in biology = a user's guide to path analysis, structural equations, and causal inference /
by:
(Electronic resources)
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)
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)
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)
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)
Statistical causal inferences and their applications in public health research
by:
(Electronic resources)
Repeated measures design with generalized linear mixed models for randomized controlled trials /
by:
(Language materials, printed)
Frontiers of biostatistical methods and applications in clinical oncology
by:
(Electronic resources)
Methods and biostatistics in oncology = understanding clinical research as an applied tool /
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)
Regression analysis in medical research = for Starters and 2nd Levelers /
by:
(Electronic resources)
Computational and methodological statistics and biostatistics = contemporary essays in advancement /
by:
(Electronic resources)
Phylogenetic trees and molecular evolution = a hands-on introduction with uncertainty quantification corrected /
by:
(Electronic resources)
Generalized linear mixed models with applications in agriculture and biology
by:
(Electronic resources)
Advances in clinical immunology, medical microbiology, COVID-19, and Big data
by:
(Electronic resources)
Show more
Fewer
Subjects