Search Results - Data Interpretation, Statistical.

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

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Statistical reasoning for surgeons / by Maltenfort, Mitchell G., Restrepo, Camilo, Chen, Antonia

Table of Contents: “…<P>1 Introduction -- Why Does a Surgeon Need Statistics? </P><P>2 Interpreting Probability: Medical School Axioms of Probability</P><P>3 Statistics, the Law of Large Numbers, and the Confidence Interval </P><P>4 The Basics of Statistical Tests </P><P>5 How Much Data Is Enough? …”
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Interface between regulation and statistics in drug development / by Alemayehu, Demissie, Emir, Birol, Gaffney, Michael, active 1983

Table of Contents: “…Cover -- Half Title -- Series Information -- Title Page -- Copyright Page -- Table of contents -- Figures -- Abbreviations -- Authors' Disclosure -- Acknowledgment -- Preface -- About the Authors -- Chapter 1 Fundamental Principles of Clinical Trials -- 1.1 Introduction -- 1.2 General Statistical Considerations -- 1.2.1 Statistical Analysis Plan -- 1.2.2 Trial Design -- 1.2.3 Randomization and Blinding -- 1.2.4 Statistical Methodology -- 1.2.5 Reporting and Interpretation of Study Results -- 1.2.6 Data Quality and Software Validity -- 1.3 Evolving Roles of the Statistician in Drug Development…”
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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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Artificial intelligence in sport performance analysis / by Araújo, Duarte, Couceiro, Micael, Seifert, Ludovic, Sarmento, Hugo, Davids, K. (Keith), 1953-

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