Biostatistics.
概観
著作: | 48 作品に 45 出版物中に 45 言語 |
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タイトル
Pediatric biomedical informatics[electronic resource] :computer applications in pediatric research /
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Statistical modelling in biostatistics and bioinformatics[electronic resource] :selected papers /
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Advances in complex data modeling and computational methods in statistics[electronic resource] /
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Excel 2013 for biological and life sciences statistics[electronic resource] :a guide to solving practical problems /
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Simultaneous statistical inference[electronic resource] :with applications in the life sciences /
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Sample size determination in clinical trials with multiple endpoints[electronic resource] /
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Modeling binary correlated responses using SAS, SPSS and R[electronic resource] /
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Rankings and preferences[electronic resource] :new results in weighted correlation and weighted principal component analysis with applications /
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Umbrella Reviews[electronic resource] :evidence synthesis with overviews of reviews and meta-epidemiologic studies /
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Field guidelines for genetic experimental designs in high-throughput sequencing[electronic resource] /
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An introduction to statistics with Python[electronic resource] :with applications in the life sciences /
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Introduction to nonparametric statistics for the biological sciences using R[electronic resource] /
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Group sequential and confirmatory adaptive designs in clinical trials[electronic resource] /
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A course in mathematical statistics and large sample theory[electronic resource] /
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Excel 2016 for biological and life sciences statistics[electronic resource] :a guide to solving practical problems /
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Robust rank-based and nonparametric methods[electronic resource] :Michigan, USA, April 2015 : selected, revised, and extended contributions /
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Pediatric biomedical informatics[electronic resource] :computer applications in pediatric research /
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Statistical causal inferences and their applications in public health research[electronic resource] /
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Health and lifestyle[electronic resource] :separating the truth from the myth with statistics /
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Stochasticity in processes[electronic resource] :fundamentals and applications to chemistry and biology /
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Comparative Causal Effect Estimation and Robust Variance for Longitudinal Data Structures with Applications to Observational HIV Treatment.
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The Good, the Bad and the Fitting: A Bayesian Hierarchical Model for Patient Preferences Elicited through Discrete Choice Experiments.
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Recent advances in robust statistics[electronic resource] :theory and applications /
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