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Biblioteca

MARC Lista (tabellare)
Basic biostatistics for geneticists and epidemiologists [[electronic resource] ] : a practical approach / / Robert C. Elston, William D. Johnson
Basic biostatistics for geneticists and epidemiologists [[electronic resource] ] : a practical approach / / Robert C. Elston, William D. Johnson
Autore Elston Robert C. <1932->
Pubbl/distr/stampa Chichester, U.K., : John Wiley & Sons, 2008
Descrizione fisica 1 online resource (385 p.)
Disciplina 570.15195
610.72
614.40727
Altri autori (Persone) JohnsonWilliam Davis <1941->
Soggetto topico Medical statistics
Medical genetics - Statistical methods
Epidemiology - Statistical methods
ISBN 0-470-74078-7
1-282-34579-6
9786612345791
0-470-02491-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Basic Biostatistics for Geneticists and Epidemiologists; CONTENTS; PREFACE; 1 INTRODUCTION: THE ROLE AND RELEVANCE OF STATISTICS, GENETICS AND EPIDEMIOLOGY IN MEDICINE; Why Biostatistics?; What Exactly Is (Are) Statistics?; Reasons for Understanding Statistics; What Exactly is Genetics?; What Exactly is Epidemiology?; How Can a Statistician Help Geneticists and Epidemiologists?; Disease Prevention versus Disease Therapy; A Few Examples: Genetics, Epidemiology and Statistical Inference; Summary; References; 2 POPULATIONS, SAMPLES, AND STUDY DESIGN; The Study of Cause and Effect
Populations, Target Populations and Study UnitsProbability Samples and Randomization; Observational Studies; Family Studies; Experimental Studies; Quasi-Experimental Studies; Summary; Further Reading; Problems; 3 DESCRIPTIVE STATISTICS; Why Do We Need Descriptive Statistics?; Scales of Measurement; Tables; Graphs; Proportions and Rates; Relative Measures of Disease Frequency; Sensitivity, Specificity and Predictive Values; Measures of Central Tendency; Measures of Spread or Variability; Measures of Shape; Summary; Further Reading; Problems; 4 THE LAWS OF PROBABILITY; Definition of Probability
The Probability of Either of Two Events: A or BThe Joint Probability of Two Events: A and B; Examples of Independence, Nonindependence and Genetic Counseling; Bayes' Theorem; Likelihood Ratio; Summary; Further Reading; Problems; 5 RANDOM VARIABLES AND DISTRIBUTIONS; Variability and Random Variables; Binomial Distribution; A Note about Symbols; Poisson Distribution; Uniform Distribution; Normal Distribution; Cumulative Distribution Functions; The Standard Normal (Gaussian) Distribution; Summary; Further Reading; Problems; 6 ESTIMATES AND CONFIDENCE LIMITS; Estimates and Estimators
Notation for Population Parameters, Sample Estimates, and Sample EstimatorsProperties of Estimators; Maximum Likelihood; Estimating Intervals; Distribution of the Sample Mean; Confidence Limits; Summary; Problems; 7 SIGNIFICANCE TESTS AND TESTS OF HYPOTHESES; Principle of Significance Testing; Principle of Hypothesis Testing; Testing a Population Mean; One-Sided versus Two-Sided Tests; Testing a Proportion; Testing the Equality of Two Variances; Testing the Equality of Two Means; Testing the Equality of Two Medians; Validity and Power; Summary; Further Reading; Problems
8 LIKELIHOOD RATIOS, BAYESIAN METHODS AND MULTIPLE HYPOTHESESLikelihood Ratios; Bayesian Methods; Bayes' Factors; Bayesian Estimates and Credible Intervals; The Multiple Testing Problem; Summary; Problems; 9 THE MANY USES OF CHI-SQUARE; The Chi-Square Distribution; Goodness-of-Fit Tests; Contingency Tables; Inference About the Variance; Combining p-Values; Likelihood Ratio Tests; Summary; Further Reading; Problems; 10 CORRELATION AND REGRESSION; Simple Linear Regression; The Straight-Line Relationship When There is Inherent Variability; Correlation; Spearman's Rank Correlation
Multiple Regression
Record Nr. UNINA-9910830580403321
Elston Robert C. <1932->  
Chichester, U.K., : John Wiley & Sons, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Basic biostatistics for geneticists and epidemiologists [[electronic resource] ] : a practical approach / / Robert C. Elston, William D. Johnson
Basic biostatistics for geneticists and epidemiologists [[electronic resource] ] : a practical approach / / Robert C. Elston, William D. Johnson
Autore Elston Robert C. <1932->
Pubbl/distr/stampa Chichester, U.K., : John Wiley & Sons, 2008
Descrizione fisica 1 online resource (385 p.)
Disciplina 570.15195
610.72
614.40727
Altri autori (Persone) JohnsonWilliam Davis <1941->
Soggetto topico Medical statistics
Medical genetics - Statistical methods
Epidemiology - Statistical methods
ISBN 0-470-74078-7
1-282-34579-6
9786612345791
0-470-02491-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Basic Biostatistics for Geneticists and Epidemiologists; CONTENTS; PREFACE; 1 INTRODUCTION: THE ROLE AND RELEVANCE OF STATISTICS, GENETICS AND EPIDEMIOLOGY IN MEDICINE; Why Biostatistics?; What Exactly Is (Are) Statistics?; Reasons for Understanding Statistics; What Exactly is Genetics?; What Exactly is Epidemiology?; How Can a Statistician Help Geneticists and Epidemiologists?; Disease Prevention versus Disease Therapy; A Few Examples: Genetics, Epidemiology and Statistical Inference; Summary; References; 2 POPULATIONS, SAMPLES, AND STUDY DESIGN; The Study of Cause and Effect
Populations, Target Populations and Study UnitsProbability Samples and Randomization; Observational Studies; Family Studies; Experimental Studies; Quasi-Experimental Studies; Summary; Further Reading; Problems; 3 DESCRIPTIVE STATISTICS; Why Do We Need Descriptive Statistics?; Scales of Measurement; Tables; Graphs; Proportions and Rates; Relative Measures of Disease Frequency; Sensitivity, Specificity and Predictive Values; Measures of Central Tendency; Measures of Spread or Variability; Measures of Shape; Summary; Further Reading; Problems; 4 THE LAWS OF PROBABILITY; Definition of Probability
The Probability of Either of Two Events: A or BThe Joint Probability of Two Events: A and B; Examples of Independence, Nonindependence and Genetic Counseling; Bayes' Theorem; Likelihood Ratio; Summary; Further Reading; Problems; 5 RANDOM VARIABLES AND DISTRIBUTIONS; Variability and Random Variables; Binomial Distribution; A Note about Symbols; Poisson Distribution; Uniform Distribution; Normal Distribution; Cumulative Distribution Functions; The Standard Normal (Gaussian) Distribution; Summary; Further Reading; Problems; 6 ESTIMATES AND CONFIDENCE LIMITS; Estimates and Estimators
Notation for Population Parameters, Sample Estimates, and Sample EstimatorsProperties of Estimators; Maximum Likelihood; Estimating Intervals; Distribution of the Sample Mean; Confidence Limits; Summary; Problems; 7 SIGNIFICANCE TESTS AND TESTS OF HYPOTHESES; Principle of Significance Testing; Principle of Hypothesis Testing; Testing a Population Mean; One-Sided versus Two-Sided Tests; Testing a Proportion; Testing the Equality of Two Variances; Testing the Equality of Two Means; Testing the Equality of Two Medians; Validity and Power; Summary; Further Reading; Problems
8 LIKELIHOOD RATIOS, BAYESIAN METHODS AND MULTIPLE HYPOTHESESLikelihood Ratios; Bayesian Methods; Bayes' Factors; Bayesian Estimates and Credible Intervals; The Multiple Testing Problem; Summary; Problems; 9 THE MANY USES OF CHI-SQUARE; The Chi-Square Distribution; Goodness-of-Fit Tests; Contingency Tables; Inference About the Variance; Combining p-Values; Likelihood Ratio Tests; Summary; Further Reading; Problems; 10 CORRELATION AND REGRESSION; Simple Linear Regression; The Straight-Line Relationship When There is Inherent Variability; Correlation; Spearman's Rank Correlation
Multiple Regression
Record Nr. UNINA-9910841101303321
Elston Robert C. <1932->  
Chichester, U.K., : John Wiley & Sons, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian approaches to clinical trials and health care evaluation [[electronic resource] /] / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Bayesian approaches to clinical trials and health care evaluation [[electronic resource] /] / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Autore Spiegelhalter D. J
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (408 p.)
Disciplina 519.5/42/02461
610.72
Altri autori (Persone) AbramsK. R (Keith R.)
MylesJonathan P
Collana Statistics in practice
Soggetto topico Bayesian statistical decision theory
Medicine - Research - Statistical methods
Clinical trials - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-280-26930-8
9786610269303
0-470-09259-9
0-470-09260-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bayesian Approaches to Clinical Trials and Health-Care Evaluation; Contents; Preface; List of examples; 1 Introduction; 1.1 What are Bayesian methods?; 1.2 What do we mean by 'health-care evaluation'?; 1.3 A Bayesian approach to evaluation; 1.4 The aim of this book and the intended audience; 1.5 Structure of the book; 2 Basic Concepts from Traditional Statistical Analysis; 2.1 Probability; 2.1.1 What is probability?; 2.1.2 Odds and log-odds; 2.1.3 Bayes theorem for simple events; 2.2 Random variables, parameters and likelihood; 2.2.1 Random variables and their distributions
2.2.2 Expectation, variance, covariance and correlation 2.2.3 Parametric distributions and conditional independence; 2.2.4 Likelihoods; 2.3 The normal distribution; 2.4 Normal likelihoods; 2.4.1 Normal approximations for binary data; 2.4.2 Normal likelihoods for survival data; 2.4.3 Normal likelihoods for count responses; 2.4.4 Normal likelihoods for continuous responses; 2.5 Classical inference; 2.6 A catalogue of useful distributions*; 2.6.1 Binomial and Bernoulli; 2.6.2 Poisson; 2.6.3 Beta; 2.6.4 Uniform; 2.6.5 Gamma; 2.6.6 Root-inverse-gamma; 2.6.7 Half-normal; 2.6.8 Log-normal
2.6.9 Student's 2.6.10 Bivariate normal; 2.7 Key points; Exercises; 3 An Overview of the Bayesian Approach; 3.1 Subjectivity and context; 3.2 Bayes theorem for two hypotheses; 3.3 Comparing simple hypotheses: likelihood ratios and Bayes factors; 3.4 Exchangeability and parametric modelling*; 3.5 Bayes theorem for general quantities; 3.6 Bayesian analysis with binary data; 3.6.1 Binary data with a discrete prior distribution; 3.6.2 Conjugate analysis for binary data; 3.7 Bayesian analysis with normal distributions; 3.8 Point estimation, interval estimation and interval hypotheses
3.9 The prior distribution 3.10 How to use Bayes theorem to interpret trial results; 3.11 The 'credibility' of significant trial results*; 3.12 Sequential use of Bayes theorem*; 3.13 Predictions; 3.13.1 Predictions in the Bayesian framework; 3.13.2 Predictions for binary data*; 3.13.3 Predictions for normal data; 3.14 Decision-making; 3.15 Design; 3.16 Use of historical data; 3.17 Multiplicity, exchangeability and hierarchical models; 3.18 Dealing with nuisance parameters*; 3.18.1 Alternative methods for eliminating nuisance parameters*; 3.18.2 Profile likelihood in a hierarchical model*
3.19 Computational issues 3.19.1 Monte Carlo methods; 3.19.2 Markov chain Monte Carlo methods; 3.19.3 WinBUGS; 3.20 Schools of Bayesians; 3.21 A Bayesian checklist; 3.22 Further reading; 3.23 Key points; Exercises; 4 Comparison of Alternative Approaches to Inference; 4.1 A structure for alternative approaches; 4.2 Conventional statistical methods used in health-care evaluation; 4.3 The likelihood principle, sequential analysis and types of error; 4.3.1 The likelihood principle; 4.3.2 Sequential analysis; 4.3.3 Type I and Type II error; 4.4 P-values and Bayes factors*
4.4.1 Criticism of P-values
Record Nr. UNINA-9910143509603321
Spiegelhalter D. J  
Chichester ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian approaches to clinical trials and health care evaluation [[electronic resource] /] / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Bayesian approaches to clinical trials and health care evaluation [[electronic resource] /] / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Autore Spiegelhalter D. J
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (408 p.)
Disciplina 519.5/42/02461
610.72
Altri autori (Persone) AbramsK. R (Keith R.)
MylesJonathan P
Collana Statistics in practice
Soggetto topico Bayesian statistical decision theory
Medicine - Research - Statistical methods
Clinical trials - Statistical methods
ISBN 1-280-26930-8
9786610269303
0-470-09259-9
0-470-09260-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bayesian Approaches to Clinical Trials and Health-Care Evaluation; Contents; Preface; List of examples; 1 Introduction; 1.1 What are Bayesian methods?; 1.2 What do we mean by 'health-care evaluation'?; 1.3 A Bayesian approach to evaluation; 1.4 The aim of this book and the intended audience; 1.5 Structure of the book; 2 Basic Concepts from Traditional Statistical Analysis; 2.1 Probability; 2.1.1 What is probability?; 2.1.2 Odds and log-odds; 2.1.3 Bayes theorem for simple events; 2.2 Random variables, parameters and likelihood; 2.2.1 Random variables and their distributions
2.2.2 Expectation, variance, covariance and correlation 2.2.3 Parametric distributions and conditional independence; 2.2.4 Likelihoods; 2.3 The normal distribution; 2.4 Normal likelihoods; 2.4.1 Normal approximations for binary data; 2.4.2 Normal likelihoods for survival data; 2.4.3 Normal likelihoods for count responses; 2.4.4 Normal likelihoods for continuous responses; 2.5 Classical inference; 2.6 A catalogue of useful distributions*; 2.6.1 Binomial and Bernoulli; 2.6.2 Poisson; 2.6.3 Beta; 2.6.4 Uniform; 2.6.5 Gamma; 2.6.6 Root-inverse-gamma; 2.6.7 Half-normal; 2.6.8 Log-normal
2.6.9 Student's 2.6.10 Bivariate normal; 2.7 Key points; Exercises; 3 An Overview of the Bayesian Approach; 3.1 Subjectivity and context; 3.2 Bayes theorem for two hypotheses; 3.3 Comparing simple hypotheses: likelihood ratios and Bayes factors; 3.4 Exchangeability and parametric modelling*; 3.5 Bayes theorem for general quantities; 3.6 Bayesian analysis with binary data; 3.6.1 Binary data with a discrete prior distribution; 3.6.2 Conjugate analysis for binary data; 3.7 Bayesian analysis with normal distributions; 3.8 Point estimation, interval estimation and interval hypotheses
3.9 The prior distribution 3.10 How to use Bayes theorem to interpret trial results; 3.11 The 'credibility' of significant trial results*; 3.12 Sequential use of Bayes theorem*; 3.13 Predictions; 3.13.1 Predictions in the Bayesian framework; 3.13.2 Predictions for binary data*; 3.13.3 Predictions for normal data; 3.14 Decision-making; 3.15 Design; 3.16 Use of historical data; 3.17 Multiplicity, exchangeability and hierarchical models; 3.18 Dealing with nuisance parameters*; 3.18.1 Alternative methods for eliminating nuisance parameters*; 3.18.2 Profile likelihood in a hierarchical model*
3.19 Computational issues 3.19.1 Monte Carlo methods; 3.19.2 Markov chain Monte Carlo methods; 3.19.3 WinBUGS; 3.20 Schools of Bayesians; 3.21 A Bayesian checklist; 3.22 Further reading; 3.23 Key points; Exercises; 4 Comparison of Alternative Approaches to Inference; 4.1 A structure for alternative approaches; 4.2 Conventional statistical methods used in health-care evaluation; 4.3 The likelihood principle, sequential analysis and types of error; 4.3.1 The likelihood principle; 4.3.2 Sequential analysis; 4.3.3 Type I and Type II error; 4.4 P-values and Bayes factors*
4.4.1 Criticism of P-values
Record Nr. UNINA-9910830922703321
Spiegelhalter D. J  
Chichester ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian approaches to clinical trials and health care evaluation [[electronic resource] /] / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Bayesian approaches to clinical trials and health care evaluation [[electronic resource] /] / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Autore Spiegelhalter D. J
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (408 p.)
Disciplina 519.5/42/02461
610.72
Altri autori (Persone) AbramsK. R (Keith R.)
MylesJonathan P
Collana Statistics in practice
Soggetto topico Bayesian statistical decision theory
Medicine - Research - Statistical methods
Clinical trials - Statistical methods
ISBN 1-280-26930-8
9786610269303
0-470-09259-9
0-470-09260-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bayesian Approaches to Clinical Trials and Health-Care Evaluation; Contents; Preface; List of examples; 1 Introduction; 1.1 What are Bayesian methods?; 1.2 What do we mean by 'health-care evaluation'?; 1.3 A Bayesian approach to evaluation; 1.4 The aim of this book and the intended audience; 1.5 Structure of the book; 2 Basic Concepts from Traditional Statistical Analysis; 2.1 Probability; 2.1.1 What is probability?; 2.1.2 Odds and log-odds; 2.1.3 Bayes theorem for simple events; 2.2 Random variables, parameters and likelihood; 2.2.1 Random variables and their distributions
2.2.2 Expectation, variance, covariance and correlation 2.2.3 Parametric distributions and conditional independence; 2.2.4 Likelihoods; 2.3 The normal distribution; 2.4 Normal likelihoods; 2.4.1 Normal approximations for binary data; 2.4.2 Normal likelihoods for survival data; 2.4.3 Normal likelihoods for count responses; 2.4.4 Normal likelihoods for continuous responses; 2.5 Classical inference; 2.6 A catalogue of useful distributions*; 2.6.1 Binomial and Bernoulli; 2.6.2 Poisson; 2.6.3 Beta; 2.6.4 Uniform; 2.6.5 Gamma; 2.6.6 Root-inverse-gamma; 2.6.7 Half-normal; 2.6.8 Log-normal
2.6.9 Student's 2.6.10 Bivariate normal; 2.7 Key points; Exercises; 3 An Overview of the Bayesian Approach; 3.1 Subjectivity and context; 3.2 Bayes theorem for two hypotheses; 3.3 Comparing simple hypotheses: likelihood ratios and Bayes factors; 3.4 Exchangeability and parametric modelling*; 3.5 Bayes theorem for general quantities; 3.6 Bayesian analysis with binary data; 3.6.1 Binary data with a discrete prior distribution; 3.6.2 Conjugate analysis for binary data; 3.7 Bayesian analysis with normal distributions; 3.8 Point estimation, interval estimation and interval hypotheses
3.9 The prior distribution 3.10 How to use Bayes theorem to interpret trial results; 3.11 The 'credibility' of significant trial results*; 3.12 Sequential use of Bayes theorem*; 3.13 Predictions; 3.13.1 Predictions in the Bayesian framework; 3.13.2 Predictions for binary data*; 3.13.3 Predictions for normal data; 3.14 Decision-making; 3.15 Design; 3.16 Use of historical data; 3.17 Multiplicity, exchangeability and hierarchical models; 3.18 Dealing with nuisance parameters*; 3.18.1 Alternative methods for eliminating nuisance parameters*; 3.18.2 Profile likelihood in a hierarchical model*
3.19 Computational issues 3.19.1 Monte Carlo methods; 3.19.2 Markov chain Monte Carlo methods; 3.19.3 WinBUGS; 3.20 Schools of Bayesians; 3.21 A Bayesian checklist; 3.22 Further reading; 3.23 Key points; Exercises; 4 Comparison of Alternative Approaches to Inference; 4.1 A structure for alternative approaches; 4.2 Conventional statistical methods used in health-care evaluation; 4.3 The likelihood principle, sequential analysis and types of error; 4.3.1 The likelihood principle; 4.3.2 Sequential analysis; 4.3.3 Type I and Type II error; 4.4 P-values and Bayes factors*
4.4.1 Criticism of P-values
Record Nr. UNINA-9910841262303321
Spiegelhalter D. J  
Chichester ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Benefit Sharing [[electronic resource] ] : From Biodiversity to Human Genetics / / edited by Doris Schroeder, Julie Cook Lucas
Benefit Sharing [[electronic resource] ] : From Biodiversity to Human Genetics / / edited by Doris Schroeder, Julie Cook Lucas
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (249 p.)
Disciplina 610.72
616/.042
Soggetto topico Environmental law
Environmental policy
Medicine
International environmental law
Ethics
Sociology
Environmental Law/Policy/Ecojustice
Medicine/Public Health, general
International Environmental Law
Gender Studies
Science, Humanities and Social Sciences, multidisciplinary
ISBN 94-007-6205-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Benefit Sharing - From Biodiversity to Human Genetics: An Introduction -- 2 Exploring Central Philosophical Concepts in Benefit Sharing: Vulnerability, Exploitation and Undue Inducement -- 3 Legal Frameworks for Benefit Sharing: From Biodiversity to Human Genomics -- 4 Sharing Traditional Knowledge: Who benefits? Cases from India, Nigeria, Mexico and South Africa -- 5 Donating Human Samples: Who Benefits? Cases from Iceland, Kenya and Indonesia -- 6 Fair for Women? A Gender Analysis of Benefit Sharing -- 7 Promoting an Inclusive Approach to Benefit Sharing: Expanding the Scope of the CBD? -- 8 Realizing Benefit Sharing: Is there a Role forEthics Review? -- 9 Beyond Benefit Sharing: Steps Towards Realizing the Human Right to Health -- 10 Towards Best Practice for Benefit Sharing Involving Access to Human Biological Resources: Conclusions and Recommendations -- Index.
Record Nr. UNINA-9910437938803321
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biological research for nursing
Biological research for nursing
Pubbl/distr/stampa Thousand Oaks, Calif., : Sage Publications, 1999-
Descrizione fisica 1 online resource
Disciplina 610.72
Soggetto topico Medicine - Research
Nursing
Biology - Research
Biological Science Disciplines
Nursing Research
Médecine - Recherche
Soins infirmiers
Biologie - Recherche
Soins infirmiers - Recherche
Biologie
Recherche médicale
Soggetto genere / forma Periodical
Periodicals.
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
Soggetto non controllato Nursing
ISSN 1552-4175
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNISA-996251330303316
Thousand Oaks, Calif., : Sage Publications, 1999-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Biological sciences : notable research and discoveries / / Kyle Kirkland
Biological sciences : notable research and discoveries / / Kyle Kirkland
Autore Kirkland Kyle
Pubbl/distr/stampa New York, NY, : Facts on File, c2010
Descrizione fisica 1 online resource (xvi, 224 pages) : illustrations (chiefly color)
Disciplina 610.72
Collana Frontiers of science
Soggetto topico Medical sciences
Biology
Discoveries in science
ISBN 1-282-79176-1
9786612791765
0-8160-7439-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Cover""; ""Contents""; ""Preface""; ""Acknowledgments""; ""Introduction""; ""1: Brain Imaging: Searching for Sites of Perception and Consciousness""; ""2: The Human Genome in Health and Disease""; ""3: Protein Structure and Function""; ""4: Biodiversity�The Complexity of Life""; ""5: The Biology and Evolution of Viruses""; ""6: Regeneration�Healing by Regrowing""; ""Final Thoughts""; ""Glossary""; ""Further Resources""; ""Index""
Record Nr. UNINA-9910698532103321
Kirkland Kyle  
New York, NY, : Facts on File, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biologically Responsive Biomaterials for Tissue Engineering [[electronic resource] /] / edited by Iulian Antoniac
Biologically Responsive Biomaterials for Tissue Engineering [[electronic resource] /] / edited by Iulian Antoniac
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (260 p.)
Disciplina 610.72
Collana Springer Series in Biomaterials Science and Engineering
Soggetto topico Biomaterials
Biomedical engineering
Molecular biology
Orthopedics
Cell biology
Biophysics
Biological physics
Biomedical Engineering and Bioengineering
Molecular Medicine
Cell Biology
Biological and Medical Physics, Biophysics
ISBN 1-283-69710-6
1-4614-4328-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Chapter 1 Scaffold Design For Bone Tissue Engineering: From Micrometric To Nanometric Level -- Chapter 2 Molecular Scissors - from Biomaterials Implant to Tissue Remodeling -- Chapter 3 Synthetic Morphogens and Pro-morphogens for Aided Tissue Regeneration -- Chapter 4 The role of oxidative stress in the response of endothelial cells to metals -- Chapter 5 Comparative properties of ethyl, n-butyl and n-octyl cyanoacrylate bioadhesives intended for wound closure -- Chapter 6 Development of bioabsorbable interference screws – how influence biomaterials composition, clinical and retrieval studies the innovative screw design and manufacturing processes -- Chapter 7 Modeling And Numerical Analysis Of A Cervical Spine Unit -- Chapter 8 Carbon Nanotubes in Acrylic Bone Cement -- Chapter 9 Exploring the future of hydrogels in rapid prototyping: a review on current trends and limitations.
Record Nr. UNINA-9910437812803321
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biomedical Application of 4-Hexylresorcinol [[electronic resource] /] / by Seong-Gon Kim
Biomedical Application of 4-Hexylresorcinol [[electronic resource] /] / by Seong-Gon Kim
Autore Kim Seong Gon
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (179 pages)
Disciplina 610.72
Soggetto topico Medicine - Research
Biology - Research
Cancer
Biomedical Research
Cancer Biology
ISBN 981-9706-37-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Historical Background of Hexylresorcinol Research -- Chapter 2. 4-Hexylresorcinol: Antiseptics, Cosmetics, and Food Industry -- Chapter 3. Anti-cancer Effects of 4-Hexylresorcinol -- Chapter 4. Antioxidant and Anti-inflammatory Activity of 4-Hexylresorcinol -- Chapter 5. 4-Hexylresorcinol as Histone Deacetylase Inhibitor -- Chapter 6. The Application of 4-Hexylresorcinol for Wound Healing -- Chapter 7. The Application of 4-Hexylresorcinol in Tissue Engineering -- Chapter 8. The Application of 4-Hexylresorcinol for Preventing Diabetic Complications -- Chapter 9. Limitations and Future Directions for 4-Hexylresorcinol Applications.
Record Nr. UNINA-9910845085603321
Kim Seong Gon  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui