Search Results - Data Interpretation, Statistical.

Interpreting data / by Anderson,Alan.J.B

R for health data science / by Harrison, Ewen, Pius, Riinu

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Combinatorial inference in geometric data analysis / by Le Roux, Brigitte, Bienaise, Solène, 1986-, Durand, Jean-Luc (Mathematician)

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Data Visualization in Society /

Table of Contents: “…Introduction: The relationships between graphs, charts, maps and meanings, feelings, engagements / Helen Kennedy and Martin Engebretsen -- Section I Framing data visualization -- Ways of knowing with data visualizations / Jill Walker Rettberg -- Inventorizing, situating, transforming: Social semiotics and data visualization / Giorgia Aiello -- The political significance of data visualization: Four key perspectives / Torgeir Uberg Ncerland -- Section II Living and working with data visualization -- Rain on your radar: Engaging with weather data visualizations as part of everyday routines / Eef Masson and Karin van Es -- Between automation and interpretation: Using data visualization in social media analytics companies / Salla-Maaria Laaksonen and Juho Pääkkonen -- Accessibility of data visualizations: An overview of European statistics institutes / Mikael Snaprud and Andrea Velazquez -- Evaluating data visualization: Broadening the measurements of success / Arran L. …”
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Analyzing spatial models of choice and judgment / by Armstrong, David A., II, 1976-

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Symmetry Studies in Optics and Vision Science A Data-Analytic Approach. by Viana, Marlos A. G.

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Bayesian cost-effectiveness analysis of medical treatments / by Moreno, Elías, Vázquez Polo, Francisco José, Negrín-Hernández, Miguel Angel

Table of Contents: “…Optimal treatments </LI><P></P></B><P>Introduction </P><P>The net benefit of a treatment </P><P>Utility functions of the net benefit </P><P>The utility function U Optimal treatments </P><P>Interpretation of the expected utility </P><P>The utility function U Optimal treatments </P><P>Interpretation of the expected utility </P><P>Penalizing a new treatment </P><P>Parametric classes of probabilistic rewards </P><P>Frequentist predictive distribution of the net bene</P><P>Bayesian predictive distribution of the net benefit </P><P>Statistical models for cost and effectiveness </P><P>The normal-normal model </P><P>The lognormal-normal model </P><P>The lognormal-Bernoulli model </P><P>The bivariate normal model </P><P>The dependent lognormal-Bernoulli model </P><P>A case study </P><P>The cost-effectiveness acceptability curve for the utility</P><P>function U </P><P>The case of completely unknown rewards </P><P>The case of parametric rewards </P><P>The cost-effectiveness acceptability curve for the utility</P><P>function U </P><P>Comments on cost-effectiveness acceptability curve </P><P></P><B><P><LI>Cost-effectiveness analysis for heterogenous data </LI><P></P></B><P>Introduction </P><P>Clustering </P><P>Prior distributions </P><P>Posterior distribution of the cluster models </P><P>Examples </P><P>Bayesian meta-analysis </P><P>The Bayesian meta-model </P><P>The likelihood of the meta-parameter and the</P><P>linking distribution </P><P>Properties of the linking distribution </P><P>Examples </P><P>Contents</P><P>The predictive distribution of (c; e) conditional on a partition</P><P>The unconditional predictive distribution of (c; e) </P><P>The predictive distribution of the net benefit z </P><P>The case of independent c and e </P><P>Optimal treatments </P><P>Examples </P><P></P><B><P><LI>Subgroup cost-effectiveness</B> <B>analysis </LI><P></P></OL></B><P>Introduction </P><P>The data and the Bayesian model </P><P>The independent normal-normal model </P><P>The normal-normal model </P><P>The lognormal-normal model </P><P>The probit sampling model </P><P>Bayesian variable selection </P><P>Notation </P><P>Posterior model probability </P><P>The hierarchical uniform prior for models </P><P>Zellner's gpriors for model parameters </P><P>Intrinsic priors for model parameters </P><P>Bayes factors for normal linear models </P><P>Bayes factors for probit models </P><P>Bayesian predictive distribution of the net benefit </P><P>The normal-normal case </P><P>The case where c and e are independent </P><P>The lognormal-normal case </P><P>Optimal treatments for subgroups </P><P>Examples </P><P>Improving subgroup definition </P><P></P>…”
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Omic association studies with R and Bioconductor / by González, Juan R. (Bioinformatics researcher), Cáceres, Alejandro (Bioinformatics researcher)

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Artificial intelligence in sport performance analysis / by Araújo, Duarte, Couceiro, Micael, Seifert, Ludovic, Sarmento, Hugo, Davids, K. (Keith), 1953-

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A Guide to Research Methodology An Overview of Research Problems, Tasks and Methods. by Mukherjee, Shyama Prasad

Table of Contents: “…2.5 Illustrations of Problems2.6 Concretizing Problem Formulation; 3 Research Design; 3.1 Introduction; 3.2 Choice of Variables; 3.3 Choice of Proxy Variables; 3.4 Design for Gathering Data; 3.4.1 Need for Data; 3.4.2 Mechanisms for Data Collection; 3.4.3 Design for Data Collection; 3.5 Measurement Design; 3.6 Quality of Measurements; 3.7 Design of Analysis; 3.8 Credibility and Generalizability of Findings; 3.9 Interpretation of Results; 3.10 Testing Statistical Hypotheses; 3.11 Value of Information; 3.12 Grounded Theory Approach; 3.13 Ethical Considerations; 4 Collection of Data…”
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Applied logistic regression by Hosmer, David W.

An electronic book accessible through the World Wide Web; click to view

Observational astronomy techniques and instrumentation / by Sutton, Edmund Charles

An electronic book accessible through the World Wide Web; click to view