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Topics in Biostatistics (Methods in Molecular Biology, Band 404)
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Topics in Biostatistics (Methods in Molecular Biology, Band 404) - edizione con copertina flessibile

2010, ISBN: 9781617376238

Humana, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2007, 540 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 0.79 kg, Medizin, Kategorien, Bücher, Epidemi… Altro …

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Topics in Biostatistics (Methods in Molecular Biology, Band 404)
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Topics in Biostatistics (Methods in Molecular Biology, Band 404) - edizione con copertina flessibile

2010, ISBN: 9781617376238

Humana, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2007, 540 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 0.79 kg, Medizin, Kategorien, Bücher, Epidemi… Altro …

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Topics in Biostatistics - Walter T. Ambrosius
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Topics in Biostatistics - edizione con copertina flessibile

ISBN: 9781617376238

Paperback, [PU: Humana Press Inc.], This book presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. It introduces advanced methods in statist… Altro …

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Topics in Biostatistics - edizione con copertina flessibile

2010, ISBN: 9781617376238

Buch, Softcover, Softcover reprint of hardcover 1st ed. 2007, [PU: Humana Press Inc.], Humana Press Inc., 2010

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Ambrosius, Walter T.:
Topics in Biostatistics. (=Methods in Molecular Biology; Vol. 404). - copertina rigida, flessible

ISBN: 9781617376238

540 S. Ill. Hardcover

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Dettagli del libro
Topics in Biostatistics (Methods in Molecular Biology, Band 404)

This book presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. It introduces advanced methods in statistics, including how to choose and work with statistical packages. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics. The book is an essential resource for researchers at every level of their career.

Informazioni dettagliate del libro - Topics in Biostatistics (Methods in Molecular Biology, Band 404)


EAN (ISBN-13): 9781617376238
ISBN (ISBN-10): 161737623X
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Ambrosius, Walter T. Humana
540 Pagine
Peso: 0,767 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2011-01-29T18:04:09+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2024-01-22T22:30:50+01:00 (Rome)
ISBN/EAN: 9781617376238

ISBN - Stili di scrittura alternativi:
1-61737-623-X, 978-1-61737-623-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : ambros, ambrosi, ambrosius, walter
Titolo del libro: 404


Dati dell'editore

Autore: Walter T. Ambrosius
Titolo: Methods in Molecular Biology; Topics in Biostatistics
Editore: Humana; Humana Press
528 Pagine
Anno di pubblicazione: 2010-11-19
Totowa; NJ; US
Stampato / Fatto in
Peso: 0,788 kg
Lingua: Inglese
252,99 € (DE)

BC; Cell Biology; Hardcover, Softcover / Biologie/Mikrobiologie; Zellbiologie (Zytologie); Verstehen; Radiologieinformationssystem; bioinformatics; biostatistics; cancer; classification; descriptive statistics; development; evaluation; genetics; genome; genome mapping; informatics; linear regression; microarray; statistics; Cell Biology; BB

Outline: 1. Study Design-The Basics Hyun Ja Lim and Raymond Hoffmann, Medical College of Wisconsin 1. Introduction 2. Experimental Studies 2.1 Randomized controlled studies 2.2 Historically controlled studies 2.3 Crossover studies 2.4 Factorial designs 2.5 Cluster or group allocation designs 3. Randomization 3.1 Complete or simple randomization 3.2 Block randomization 3.3 Stratified randomization 4. Blinding/Masking 5. Biases 6. Analyses 6.1 Compliance 6.2 Intention-to-treat (ITT) analysis 6.3 As received and per-protocol (PP) analysis 6.4 Subgroup analysis 6.5 Exploratory analyses 7. Study Interpretation 2. Observational Study Design Raymond Hoffmann and Hyun Ja Lim, Medical College of Wisconsin 1. Introduction 2. Cohort Studies 3. Prospective Cohort Studies and Retrospective Cohort Studies 4. Case-Control Studies 4.1 Odds Ratios 4.2 Choice of Controls 4.2 Case-Control Genetic Association Studies 4.3 Matching and Case-Control Studies 4.4 Biases in Case-Control Studies 4.5 Cross-Sectional Studies 5. Outcomes 6. More on Odds Ratios and Relative Risks 6.1 Relative Risks 6.2 Odds Ratios 7. Summary 3. Descriptive Statistics Todd Nick, Cincinnati Children's Hospital 1. Types of Data 2. Measures of location and spread 3. Normal distribution 4. Distribution of a mean 5. Distribution of a variance (including degrees of freedom) 6. Distribution of a proportion 4. Basic Principles of Statistical Inference Wanzhu Tu, Indiana University School of Medicine 1. Introduction 2. Parameter Estimation 2.1 Point Estimation 2.2 Confidence Interval Estimation 2.2.1 Large Sample Confidence Interval for the Mean 2.2.2 Student t-distribution 2.2.3 Small Sample Confidence Interval for the Mean 2.2.4 Simultaneous Inference: Bonferroni's Multiplicity Adjustment 2.2.5 Confidence Interval for the Variance 2.2.6 One-Sided Confidence Intervals 3. Hypothesis Testing 3.1 Understanding Hypothesis Testing 3.2 One sample t test 3.3 An alternaive Decision Rule: P-value 3.4 Errors, Power, and Sample Size 3.5 Statistical Significance and Practical Significance 5. Statistical Inference on Categorical Variables Susan Perkins, Indiana University School of Medicine 1. Introduction 1.1 What is Categorical Data? 1.2 Categorical Data Distributions 1.3 General Notation 1.4 Statistical Analysis Using Categorical Data 2. The Binomial Distribution and the Normal Approximation to the Binomial Distribution 2.1 The Binomial Experiment 2.2 The Binomial Distribution 2.3 The Normal Approximation to the Binomial 3. Estimation and Testing of Single Proportions/Two Proportions 3.1 Estimation of a Single Proportion or the Difference Between Two Proportions 3.2 Hypothesis Testing with a Single Proportion or the Difference Between Two Proportions 3.3 Assumptions 4. Tests of Association 4.1 2x2 Tables 4.2 RxC Tables 4.3 Relationship Between Tests of Independence and Homogeneity 4.4 Fisher's Exact Test 5. McNemar's Test 6. Sample Size Estimation 7. Discussion 6. Development and Evaluation of Classifiers Todd A. Alonzo, University of Southern California, and Margaret Sullivan Pepe, Fred Hutchinson Cancer Research Center and University of Washington 1. Introduction 2. Measures of Classification Accuracy 2.1 True and False Positive Fractions 2.2 Predictive Values 2.3 Diagnostic Likelihood Ratios 2.4 ROC Curves 2.5 Selecting a Measure of Accuracy 3. Basics of Study Design 3.1 Case-control versus Cohort Designs 3.2 Paired versus Unpaired Designs 3.3 Blinding 3.4 Avoiding Bias 3.5 Factors Affecting Test Performance 4. Estimating Performance from Data 4.1 Single binary test 4.2 Comparison of TPF and FPF for two binary tests 4.2.1 Unpaired

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