Biometry.
概要
| 作品: | 129 作品在 61 項出版品 61 種語言 | |
|---|---|---|
書目資訊
Regression methods in biostatistics : = linear, logistic, survival, and repeated measures models /
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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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Regression Methods in Biostatistics = Linear, Logistic, Survival, and Repeated Measures Models /
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Regression methods in biostatistics = linear, logistic, survival, and repeated measures models /
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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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Introduction to data analysis and graphical presentation in biostatistics with R = statistics in the large /
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Secure IT systems = 20th Nordic Conference, NordSec 2015, Stockholm, Sweden, October 19-21, 2015 : proceedings /
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Statistics and experimental design : = an introduction for biologists and biochemists /
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Statistical methods for rates and proportions / = Joseph L. Fleiss, Bruce Levin, Myunghee Cho Paik.
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Biostatistics and epidemiology = a primer for health and biomedical professionals /
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Biostatistics for radiologists = planning, performing, and writing a radiologic study /
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The biostatistics cookbook = the most user-friendly guide for the bio/medical scientist /
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Recent advances in biostatistics = false discovery rates, survival analysis, and related topics /
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Excel 2016 for biological and life sciences statistics = a guide to solving practical problems /
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Modern dose-finding designs for cancer phase I trials = drug combinations and molecularly targeted agents /
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Methods and biostatistics in oncology = understanding clinical research as an applied tool /
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Excel 2019 for biological and life sciences statistics = a guide to solving practical problems /
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Statistical modeling in biomedical research = contemporary topics and voices in the field /
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Objective biometric methods for the diagnosis and treatment of nervous system disorders
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Computational and methodological statistics and biostatistics = contemporary essays in advancement /
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Phylogenetic trees and molecular evolution = a hands-on introduction with uncertainty quantification corrected /
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Introduction to data science in biostatistics = using R, the tidyverse ecosystem, and APIs /
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