Biometry.
Overview
Works: | 39 works in 29 publications in 29 languages |
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Titles
Cause and Correlation in Biology :[electronic resource].A User's Guide to Path Analysis, Structural Equations and Causal Inference.
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Biostatistics with R[electronic resource] :an introduction to statistics through biological data /
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Regression methods in biostatistics[electronic resource] :linear, logistic, survival, and repeated measures models /
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Recent advances in biostatistics[electronic resource] :false discovery rates, survival analysis, and related topics /
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Statistics at square two :understanding modern statistical applications in medicine /
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Practical biostatistics[electronic resource] :a user-friendly approach for evidence-based medicine /
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Statistical approaches to orofacial pain and temporomandibular disorders research[electronic resource] /
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Statistical modelling in biostatistics and bioinformatics[electronic resource] :selected papers /
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Oscillation and stability of delay models in biology[electronic resource] /
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Statistical analysis of next generation sequencing data[electronic resource] /
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Introduction to data analysis and graphical presentation in biostatistics with R[electronic resource] :statistics in the large /
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Simultaneous statistical inference[electronic resource] :with applications in the life sciences /
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Nonparametric Bayesian inference in biostatistics[electronic resource] /
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Progress in pattern recognition, image analysis, computer vision, and applications[electronic resource] :20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015 : proceedings /
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Secure IT systems[electronic resource] :20th Nordic Conference, NordSec 2015, Stockholm, Sweden, October 19-21, 2015 : proceedings /
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Cause and correlation in biology :a user's guide to path analysis, structural equations, and causal inference /
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An introduction to statistics with Python[electronic resource] :with applications in the life sciences /
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Excel 2016 for biological and life sciences statistics[electronic resource] :a guide to solving practical problems /
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Adaptive regression for modeling nonlinear relationships[electronic resource] /
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Statistical causal inferences and their applications in public health research[electronic resource] /
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Advances in bioinformatics, biostatistics and omic sciences[electronic resource] /
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Biometry for forestry and environmental data with examples in R[electronic resource] /
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Advances in clinical immunology, medical microbiology, COVID-19, and Big data[electronic resource] /
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Subjects