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Record Nr. |
UNINA9910830319303321 |
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Autore |
Newman Stephen C. <1952-> |
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Titolo |
Biostatistical methods in epidemiology [[electronic resource] /] / Stephen C. Newman |
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Pubbl/distr/stampa |
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New York, : John Wiley & Sons, c2001 |
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ISBN |
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1-280-36696-6 |
9786610366965 |
0-470-35001-6 |
0-471-46160-1 |
0-471-27261-2 |
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Descrizione fisica |
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1 online resource (403 p.) |
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Collana |
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Wiley series in probability and statistics. Biostatistics section |
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Disciplina |
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614.4/07/27 |
614.4072 |
614.40727 |
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Soggetti |
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Epidemiology - Statistical methods |
Cohort analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"A Wiley-Interscience publication." |
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Nota di bibliografia |
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Includes bibliographical references (p. 359-375) and index. |
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Nota di contenuto |
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Biostatistical Methods in Epidemiology; Contents; Preface; 1. Introduction; 1.1 Probability; 1.2 Parameter Estimation; 1.3 Random Sampling; 2. Measurement Issues in Epidemiology; 2.1 Systematic and Random Error; 2.2 Measures of Effect; 2.3 Confounding; 2.4 Collapsibility Approach to Confounding; 2.5 Counterfactual Approach to Confounding; 2.6 Methods to Control Confounding; 2.7 Bias Due to an Unknown Confounder; 2.8 Misclassification; 2.9 Scope of this Book; 3. Binomial Methods for Single Sample Closed Cohort Data; 3.1 Exact Methods; 3.2 Asymptotic Methods |
10. Poisson Methods for Censored Survival Data10.1 Poisson Methods for Single Sample Survival Data; 10.2 Poisson Methods for Unstratified Survival Data; 10.3 Poisson Methods for Stratified Survival Data; 11. Odds Ratio Methods for Case-Control Data; 11.1 Justification of the Odds Ratio Approach; 11.2 Odds Ratio Methods for Matched-Pairs Case-Control Data; 11.3 Odds Ratio Methods for (1 : M) Matched Case-Control Data; 12. Standardized Rates and Age-Period-Cohort Analysis; |
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12.1 Population Rates; 12.2 Directly Standardized Death Rate; 12.3 Standardized Mortality Ratio |
12.4 Age-Period-Cohort Analysis |
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Sommario/riassunto |
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An introduction to classical biostatistical methods in epidemiology Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A |
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2. |
Record Nr. |
UNINA9910300147003321 |
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Autore |
Potschka Andreas |
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Titolo |
A Direct Method for Parabolic PDE Constrained Optimization Problems / / by Andreas Potschka |
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Pubbl/distr/stampa |
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Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Spektrum, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (xiv, 216 pages) : illustrations |
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Collana |
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Advances in Numerical Mathematics |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Mathematics |
Biotechnology |
Differential equations |
Optimization |
Chemical Bioengineering |
Differential Equations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Parabolic PDE Constrained Optimization Problems -- Two-Grid Newton-Picard Inexact SQP -- Structure Exploiting Solution of QPs -- Applications and Numerical Results. |
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Sommario/riassunto |
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Andreas Potschka discusses a direct multiple shooting method for dynamic optimization problems constrained by nonlinear, possibly time-periodic, parabolic partial differential equations. In contrast to indirect methods, this approach automatically computes adjoint derivatives without requiring the user to formulate adjoint equations, which can be time-consuming and error-prone. The author describes and analyzes in detail a globalized inexact Sequential Quadratic Programming method that exploits the mathematical structures of this approach and problem class for fast numerical performance. The book features applications, including results for a real-world chemical engineering separation problem. Contents · Parabolic PDE Constrained Optimization Problems · Two-Grid Newton-Picard Inexact SQP · Structure Exploiting Solution of QPs · Applications and Numerical Results Target Groups · Researchers and students in the fields of mathematics, information systems, and scientific computing · Userswith PDE constrained optimization problems, in particular in (bio-)chemical engineering The Author Dr. Andreas Potschka is a postdoctoral researcher in the Simulation and Optimization group of Prof. Dr. Dres. h. c. Hans Georg Bock at the Interdisciplinary Center for Scientific Computing, Heidelberg University. He is the head of the research group Model-Based Optimizing Control. |
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