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Statistical methods in biology / Norman T.J. Bailey
Statistical methods in biology / Norman T.J. Bailey
Autore Bailey, Norman T. J.
Edizione [3rd ed.]
Pubbl/distr/stampa Cambridge, : Cambridge University Press, 1995
Descrizione fisica XIII, 255 p. ; 21 cm
Disciplina 570.15195
Soggetto non controllato Biometria
ISBN 0-521-46983-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001806560403321
Bailey, Norman T. J.  
Cambridge, : Cambridge University Press, 1995
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical Modeling in Biomedical Research [[electronic resource] ] : Contemporary Topics and Voices in the Field / / edited by Yichuan Zhao, Ding-Geng (Din) Chen
Statistical Modeling in Biomedical Research [[electronic resource] ] : Contemporary Topics and Voices in the Field / / edited by Yichuan Zhao, Ding-Geng (Din) Chen
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 491 p. 107 illus., 79 illus. in color.)
Disciplina 570.15195
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics 
Biostatistics
Big data
Data mining
Statistics for Life Sciences, Medicine, Health Sciences
Big Data/Analytics
Data Mining and Knowledge Discovery
ISBN 3-030-33416-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Part I: Next Generation Sequence Data Analysis -- 1. Modeling Species Specific Gene Expression Across Multiple Regions in the Brain -- 2. Classification of EEG Motion Artifact Signals Using Spatial ICA -- 3. Weighted K-means Clustering with Observation Weight for Single-cell Epigenomic Data -- 4. Discrete Multiple Testing in Detecting Differential Methylation Using Sequencing Data -- Part II: Deep Learning, Precision Medicine and Applications -- 5. Prediction of Functional Markers of Mass Cytometry Data via Deep Learning -- 6. Building Health Application Recommender System Using Partially Penalized Regression -- 7. Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data -- Part III: Large Scale Data Analysis and its Applications -- 8. Privacy Preserving Feature Selection Via Voted Wrapper Method For Horizontally Distributed Medical Data -- 9. Improving Maize Trait through Modifying Combination of Genes -- 10. Molecular Basis of Food Classification in Traditional Chinese Medicine -- 11. Discovery Among Binary Biomarkers in Heterogeneous Populations -- Part IV: Biomedical Research and the Modelling -- 12. Heat Kernel Smoothing on Manifolds and Its Application to Hyoid Bone Growth Modeling -- 13. Optimal Projections in the Distance-Based Statistical Methods -- 14. Kernel Tests for One, Two, and K-Sample Goodness-Of-Fit: State of the Art and Implementation Considerations -- 15. Hierarchical Modeling of the Effect of Pre-exposure Prophylaxis on HIV in the US -- 16. Mathematical Model of Mouse Ventricular Myocytes Overexpressing Adenylyl Cyclase Type 5 -- Part V: Survival Analysis with Complex Data Structure and its Applications -- 17. Non-Parametric Maximum Likelihood Estimator for Case-Cohort and Nested Case-Control Designs with Competing Risks Data -- Authors: Jie-Huei Wang, Chun-Hao Pan, Yi-Hau Chen and I-Shou Chang -- 18. Variable Selection in Partially Linear Proportional Hazards Model with Grouped Covariates and a Diverging Number of Parameters -- 19. Inference of Transition Probabilities in Multi-state Models using Adaptive Inverse Probability Censoring Weighting Technique.
Record Nr. UNISA-996418264403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Statistical Modeling in Biomedical Research [[electronic resource] ] : Contemporary Topics and Voices in the Field / / edited by Yichuan Zhao, Ding-Geng (Din) Chen
Statistical Modeling in Biomedical Research [[electronic resource] ] : Contemporary Topics and Voices in the Field / / edited by Yichuan Zhao, Ding-Geng (Din) Chen
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 491 p. 107 illus., 79 illus. in color.)
Disciplina 570.15195
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics 
Biostatistics
Big data
Data mining
Statistics for Life Sciences, Medicine, Health Sciences
Big Data/Analytics
Data Mining and Knowledge Discovery
ISBN 3-030-33416-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Part I: Next Generation Sequence Data Analysis -- 1. Modeling Species Specific Gene Expression Across Multiple Regions in the Brain -- 2. Classification of EEG Motion Artifact Signals Using Spatial ICA -- 3. Weighted K-means Clustering with Observation Weight for Single-cell Epigenomic Data -- 4. Discrete Multiple Testing in Detecting Differential Methylation Using Sequencing Data -- Part II: Deep Learning, Precision Medicine and Applications -- 5. Prediction of Functional Markers of Mass Cytometry Data via Deep Learning -- 6. Building Health Application Recommender System Using Partially Penalized Regression -- 7. Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data -- Part III: Large Scale Data Analysis and its Applications -- 8. Privacy Preserving Feature Selection Via Voted Wrapper Method For Horizontally Distributed Medical Data -- 9. Improving Maize Trait through Modifying Combination of Genes -- 10. Molecular Basis of Food Classification in Traditional Chinese Medicine -- 11. Discovery Among Binary Biomarkers in Heterogeneous Populations -- Part IV: Biomedical Research and the Modelling -- 12. Heat Kernel Smoothing on Manifolds and Its Application to Hyoid Bone Growth Modeling -- 13. Optimal Projections in the Distance-Based Statistical Methods -- 14. Kernel Tests for One, Two, and K-Sample Goodness-Of-Fit: State of the Art and Implementation Considerations -- 15. Hierarchical Modeling of the Effect of Pre-exposure Prophylaxis on HIV in the US -- 16. Mathematical Model of Mouse Ventricular Myocytes Overexpressing Adenylyl Cyclase Type 5 -- Part V: Survival Analysis with Complex Data Structure and its Applications -- 17. Non-Parametric Maximum Likelihood Estimator for Case-Cohort and Nested Case-Control Designs with Competing Risks Data -- Authors: Jie-Huei Wang, Chun-Hao Pan, Yi-Hau Chen and I-Shou Chang -- 18. Variable Selection in Partially Linear Proportional Hazards Model with Grouped Covariates and a Diverging Number of Parameters -- 19. Inference of Transition Probabilities in Multi-state Models using Adaptive Inverse Probability Censoring Weighting Technique.
Record Nr. UNINA-9910483548903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical Modelling in Biostatistics and Bioinformatics [[electronic resource] ] : Selected Papers / / edited by Gilbert MacKenzie, Defen Peng
Statistical Modelling in Biostatistics and Bioinformatics [[electronic resource] ] : Selected Papers / / edited by Gilbert MacKenzie, Defen Peng
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (250 p.)
Disciplina 570.15195
Collana Contributions to Statistics
Soggetto topico Statistics 
Biostatistics
Bioinformatics
Statistical Theory and Methods
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 3-319-04579-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- An Appreciation - John Nelder, FRS -- Introduction -- Survival Modelling: Hougaard - Multivariate Interval-Censored Survival Data: Parametric, Semi-Parametric and Non-Parametric Models; MacKenzie and Ha - Multivariate Survival Models Based on the GTDL; Lynch and MacKenzie - Frailty Models with Structural Dispersion; Martinez and Hinde - Random Effects Ordinal Time Models for Grouped Toxicological Data from a Biological Control Assay -- Longitudinal Modelling & Time Series: Haywood and Randal - Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11; Allais and Bosco - Forecasting the Insolvency Risk of the Customers of an Automotive Financial Service; Xu and MacKenzie - On Joint Modelling of Constrained Mean and Covariance Structures in Longitudinal Data -- Statistical Model Development: Payne - Hierarchical Generalized Nonlinear Models; Durio and Isaia - Comparing Robust Regression Estimators to Detect Data Clusters: A Case Study; Coffey, Hinde and Garcia - Finite Mixture Model Clustering of SNP Data; Peng and MacKenzie - Discrepancy and Choice of Reference Subclass in Categorical Regression Models -- Applied Statistical Modelling: Ramsey - Statistical Methods for Detecting Selective Sweeps; Brophy, Gibson, Wayne and Connolly - A Mixture Model and Bootstrap Analysis to Assess Reproductive Allocation in Plants; Conde and MacKenzie - On Model Selection Algorithms in Multi-Dimensional Contingency Tables -- Postscript: Durio and MacKenzie - Obituary: Professor Ennio Isaia.
Record Nr. UNINA-9910300159303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistics for terrified biologists / Helmut van Hemden
Statistics for terrified biologists / Helmut van Hemden
Autore Emden, Helmut Fritz : van
Pubbl/distr/stampa Malden, : Blackwell Publishing, 2008
Descrizione fisica XV, 343 p. : ill. ; 24 cm.
Disciplina 570.1
570.15195
Soggetto topico Biologia - Ricerche - Metodi statistici
ISBN 9781405149563
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Σtatistics for terrified biologists
Record Nr. UNISANNIO-CAG1570899
Emden, Helmut Fritz : van  
Malden, : Blackwell Publishing, 2008
Materiale a stampa
Lo trovi qui: Univ. del Sannio
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Statistics for the life sciences / / Myra Samuels, Jeffrey Witmer, Andrew Schaffner
Statistics for the life sciences / / Myra Samuels, Jeffrey Witmer, Andrew Schaffner
Autore Samuels Myra L.
Edizione [Fifth edition, Global edition.]
Pubbl/distr/stampa Boston : , : Pearson, , 2016
Descrizione fisica 1 online resource (651 pages) : color illustrations, tables, graphs
Disciplina 570.15195
Collana Always learning
Soggetto topico Biometry
Medical statistics
ISBN 1-292-10182-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyrigth Page -- Contents -- Preface -- Acknowledgments -- Unit I Data and Distributions -- 1 Introduction -- 1.1 Statistics and the Life Sciences -- 1.2 Types of Evidence -- 1.3 Random Sampling -- 2 Description of Samples and Populations -- 2.1 Introduction -- 2.2 Frequency Distributions -- 2.3 Descriptive Statistics: Measures of Center -- 2.4 Boxplots -- 2.5 Relationships between Variables -- 2.6 Measures of Dispersion -- 2.7 Effect of Transformation of Variables* -- 2.8 Statistical Inference -- 2.9 Perspective -- 3 Probability and the Binomial Distribution -- 3.1 Probability and the Life Sciences -- 3.2 Introduction to Probability -- 3.3 Probability Rules* -- 3.4 Density Curves -- 3.5 Random Variables -- 3.6 The Binomial Distribution -- 3.7 Fitting a Binomial Distribution to Data* -- 4 The Normal Distribution -- 4.1 Introduction -- 4.2 The Normal Curves -- 4.3 Areas under a Normal Curve -- 4.4 Assessing Normality -- 4.5 Perspective -- 5 Sampling Distributions -- 5.1 Basic Ideas -- 5.2 The Sample Mean -- 5.3 Illustration of the Central Limit Theorem* -- 5.4 The Normal Approximation to the Binomial Distribution* -- 5.5 Perspective -- Unit I Highlights and Study -- Unit II Inference for Means -- 6 Confidence Intervals -- 6.1 Statistical Estimation -- 6.2 Standard Error of the Mean -- 6.3 Confidence Interval for μ -- 6.4 Planning a Study to Estimate μ -- 6.5 Conditions for Validity of Estimation Methods -- 6.6 Comparing Two Means -- 6.7 Confidence Interval for (μ1 - μ2) -- 6.8 Perspective and Summary -- 7 Comparison of Two Independent Samples -- 7.1 Hypothesis Testing: The Randomization Test -- 7.2 Hypothesis Testing: The t Test -- 7.3 Further Discussion of the t Test -- 7.4 Association and Causation -- 7.5 One-Tailed t Tests -- 7.6 More on Interpretation of Statistical Significance -- 7.7 Planning for Adequate Power*.
7.8 Student's t: Conditions and Summary -- 7.9 More on Principles of Testing Hypotheses -- 7.10 The Wilcoxon-Mann-Whitney Test -- 8 Comparison of Paired Samples -- 8.1 Introduction -- 8.2 The Paired-Sample t Test and Confidence Interval -- 8.3 The Paired Design -- 8.4 The Sign Test -- 8.5 The Wilcoxon Signed-Rank Test -- 8.6 Perspective -- Unit II Highlights and Study -- Unit III Inference for Categorical Data -- 9 Categorical Data: One-Sample Distributions -- 9.1 Dichotomous Observations -- 9.2 Confidence Interval for a Population Proportion -- 9.3 Other Confidence Levels* -- 9.4 Inference for Proportions: The Chi-Square Goodness-of-Fit Test -- 9.5 Perspective and Summary -- 10 Categorical Data: Relationships -- 10.1 Introduction -- 10.2 The Chi-Square Test for the 2 X 2 Contingency Table -- 10.3 Independence and Association in the 2 X 2 Contingency Table -- 10.4 Fisher's Exact Test* -- 10.5 The r X k Contingency Table -- 10.6 Applicability of Methods -- 10.7 Confidence Interval for Difference Between Probabilities -- 10.8 Paired Data and 2 X 2 Tables* -- 10.9 Relative Risk and the Odds Ratio* -- 10.10 Summary of Chi-Square Test -- Unit III Highlights and Study -- Unit IV Modeling Relationships -- 11 Comparing the Means of Many Independent Samples -- 11.1 Introduction -- 11.2 The Basic One-Way Analysis of Variance -- 11.3 The Analysis of Variance Model -- 11.4 The Global F Test -- 11.5 Applicability of Methods -- 11.6 One-Way Randomized Blocks Design -- 11.7 Two-Way ANOVA -- 11.8 Linear Combinations of Means* -- 11.9 Multiple Comparisons* -- 11.10 Perspective -- 12 Linear Regression and Correlation -- 12.1 Introduction -- 12.2 The Correlation Coefficient -- 12.3 The Fitted Regression Line -- 12.4 Parametric Interpretation of Regression: The Linear Model -- 12.5 Statistical Inference Concerning β1.
12.6 Guidelines for Interpreting Regression and Correlation -- 12.7 Precision in Prediction* -- 12.8 Perspective -- 12.9 Summary of Formulas -- Unit IV Highlights and Study -- 13 A Summary of Inference Methods -- 13.1 Introduction -- 13.2 Data Analysis Examples -- Chapter Appendices** -- Chapter Notes** -- Answers to Selected Exercises -- Credits -- Index -- Index of Examples.
Record Nr. UNINA-9910154768203321
Samuels Myra L.  
Boston : , : Pearson, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistics in biosciences
Statistics in biosciences
Pubbl/distr/stampa [New York, NY] : , : Springer Science+Business Media
Descrizione fisica 1 online resource
Disciplina 570.15195
Soggetto topico Biometry
Soggetto genere / forma Periodical
Periodicals.
Soggetto non controllato statistische analyse
statistical analysis
statistische inferentie
statistical inference
statistiek
statistics
biostatistiek
biostatistics
toegepaste statistiek
applied statistics
Applied Statistics
Toegepaste statistiek
ISSN 1867-1772
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Stat biosci
Record Nr. UNINA-9910248452103321
[New York, NY] : , : Springer Science+Business Media
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistics in biosciences
Statistics in biosciences
Pubbl/distr/stampa [New York, NY] : , : Springer Science+Business Media
Descrizione fisica 1 online resource
Disciplina 570.15195
Soggetto topico Biometry
Soggetto genere / forma Periodical
Periodicals.
Soggetto non controllato statistische analyse
statistical analysis
statistische inferentie
statistical inference
statistiek
statistics
biostatistiek
biostatistics
toegepaste statistiek
applied statistics
Applied Statistics
Toegepaste statistiek
ISSN 1867-1772
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Stat biosci
Record Nr. UNISA-996211534703316
[New York, NY] : , : Springer Science+Business Media
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Statistics in human genetics / Pak Sham
Statistics in human genetics / Pak Sham
Autore Sham, Pak
Pubbl/distr/stampa London : Arnold ( (New York) : J. Wiley and Sons, 1998
Descrizione fisica VIII, 290 p. ; 23 cm
Disciplina 570.15195
Collana Arnold applications of statistics series
Soggetto non controllato Genetica umana - Metodi statistici
ISBN 0-340-66241-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-990006898810403321
Sham, Pak  
London : Arnold ( (New York) : J. Wiley and Sons, 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistics with applications to the biological and health sciences / Richard D. Remington, M. Anthony Schork
Statistics with applications to the biological and health sciences / Richard D. Remington, M. Anthony Schork
Autore Remington, Richard D.
Edizione [2. ed]
Pubbl/distr/stampa London : Prentice-Hall, 1985
Descrizione fisica XVI, 415 p ; 24 cm.
Disciplina 570.15195(Biostatistica. Biometria)
Altri autori (Persone) Schork, Michael A.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0016361
Remington, Richard D.  
London : Prentice-Hall, 1985
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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