Biometry.
Overview
Works: | 150 works in 90 publications in 90 languages |
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Titles
Advances in biometry :50 years of the International Biometric Society /
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Clinical biostatistics :an introduction to evidence-based medicine /
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Biometry :the principles and practice of statistics in biological research /
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Introduction to biostatistics :a guide to design, analysis, and discovery /
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The biostatistics cookbook :the most user-friendly guide for the bio/medical scientist /
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Introductory biostatistics for the health sciences :modern applications including bootstrap /
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Introductory biostatistics for the health sciences :modern applications including bootstrap /
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Practical statistics and experimental design for plant and crop science /
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Analysis of variance and covariance :how to choose and construct models for the life sciences /
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Regression methods in biostatistics :linear, logistic, survival, and repeated measures models /
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Biostatistics for radiologistsplanning, performing, and writing a radiologic study /
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Biostatistics for radiologists :planning, performing, and writing a radiologic study /
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Health and numbers :a problems-based introduction to biostatistics /
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The biostatistics cookbookthe most user-friendly guide for the bio/medical scientist /
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Student solutions manual to accompany Biostatistics :[a foundation for analysis in the health sciences] /
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Biostatistics :basic concepts and methodology for the health sciences /
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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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Biostatistics with Ran introduction to statistics through biological data /
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Regression methods in biostatisticslinear, logistic, survival, and repeated measures models /
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Recent advances in biostatisticsfalse discovery rates, survival analysis, and related topics /
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Practical biostatisticsa user-friendly approach for evidence-based medicine /
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Confidence intervals for proportions and related measures of effect size /
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Introduction to data analysis and graphical presentation in biostatistics with Rstatistics in the large /
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Simultaneous statistical inferencewith applications in the life sciences /
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Statistical approaches to orofacial pain and temporomandibular disorders research
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Statistical modelling in biostatistics and bioinformaticsselected papers /
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Applied statistical methods in agriculture, health and life sciences
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Progress in pattern recognition, image analysis, computer vision, and applications20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015 : proceedings /
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Secure IT systems20th Nordic Conference, NordSec 2015, Stockholm, Sweden, October 19-21, 2015 : proceedings /
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An introduction to statistics with Pythonwith applications in the life sciences /
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Excel 2016 for biological and life sciences statisticsa guide to solving practical problems /
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Statistical causal inferences and their applications in public health research
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Frontiers of biostatistical methods and applications in clinical oncology
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Modern dose-finding designs for cancer phase I trialsdrug combinations and molecularly targeted agents /
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Methods and biostatistics in oncologyunderstanding clinical research as an applied tool /
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Nonparametric models for longitudinal data :with implementation in R /
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Pattern recognition and machine intelligence7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017 : proceedings /
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Excel 2019 for biological and life sciences statisticsa guide to solving practical problems /
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Statistical modeling in biomedical researchcontemporary topics and voices in the field /
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Computational and methodological statistics and biostatisticscontemporary essays in advancement /
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Regression analysis in medical research :for Starters and 2nd Levelers /
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Biometric identification technologies based on modern data mining methods
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Objective biometric methods for the diagnosis and treatment of nervous system disorders
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Studying a study and testing a testreading evidence-based health research /
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Practical biostatisticsa step-by-step approach for evidence-based medicine /
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Phylogenetic trees and molecular evolutiona hands-on introduction with uncertainty quantification corrected /
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An introduction to statistics with Pythonwith applications in the life sciences /
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Introduction to basics of pharmacology and toxicology.research methodology and biostatistics /Volume 3,Experimental pharmacology :
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Advances in clinical immunology, medical microbiology, COVID-19, and Big data
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Generalized linear mixed models with applications in agriculture and biology
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Introduction to data science in biostatisticsusing R, the tidyverse ecosystem, and APIs /
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