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American journal of biostatistics
American journal of biostatistics
Pubbl/distr/stampa Al Ain, United Arab Emirates : , : Science Publications, , 2010-2015
Disciplina 610.727
ISSN 1948-9897
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti AJBS
Record Nr. UNINA-9910146446203321
Al Ain, United Arab Emirates : , : Science Publications, , 2010-2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied Bayesian statistical studies in biology and medicine / edited by M. Di Bacco, G. D'Amore, F. Scalfari
Applied Bayesian statistical studies in biology and medicine / edited by M. Di Bacco, G. D'Amore, F. Scalfari
Pubbl/distr/stampa Boston ; Dordrecht ; London : Kluwer Academic Publishers, c2004
Descrizione fisica xvii, 258 p. : ill. ; 25 cm
Disciplina 610.727
Altri autori (Persone) Di Bacco, Mario
D'Amore, Giuseppe
Scalfari, Francesco
Soggetto topico Medicine - Research - Statistical methods
Bayesian statistical decision theory
ISBN 1402075480
Classificazione AMS 62P10
LC R853.S7A675
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000758379707536
Boston ; Dordrecht ; London : Kluwer Academic Publishers, c2004
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Applied multilevel analysis : a practical guide / Jos W.R. Twisk
Applied multilevel analysis : a practical guide / Jos W.R. Twisk
Autore Twisk, Jos W.R. <1962- >
Pubbl/distr/stampa New York : Cambridge University Press, 2006
Descrizione fisica XII, 184 p. : ill. ; 26 cm
Disciplina 610.727
Collana Practical guides to biostatistics and epidemiology
Soggetto non controllato Medicina - Ricerca
ISBN 0521614988
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990008447470403321
Twisk, Jos W.R. <1962- >  
New York : Cambridge University Press, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied Statistical Considerations for Clinical Researchers / / by David Culliford
Applied Statistical Considerations for Clinical Researchers / / by David Culliford
Autore Culliford David
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (249 pages) : illustrations
Disciplina 610.727
Soggetto topico Medical informatics
Biometry
Bioinformatics
Medicine - Research
Biology - Research
Health Informatics
Biostatistics
Biomedical Research
Estadística mèdica
Bioinformàtica
Soggetto genere / forma Llibres electrònics
ISBN 9783030874100
9783030874094
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Preliminaries -- Design -- Planning -- Data Acquisition -- Data Manipulation Analysis -- Inferencesty -- Dissemination -- A Case Study -- Conclusions.
Record Nr. UNINA-9910523772003321
Culliford David  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied survival analysis : regression modeling of time-to-event data / / David W. Hosmer, Stanley Lemeshow, Susanne May / / David W. Hosmer, Stanley Lemeshow, Susanne May
Applied survival analysis : regression modeling of time-to-event data / / David W. Hosmer, Stanley Lemeshow, Susanne May / / David W. Hosmer, Stanley Lemeshow, Susanne May
Autore Hosmer David W.
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley-Interscience, , 2008
Descrizione fisica 1 online resource (418 p.)
Disciplina 610.72
610.727
Collana Wiley Series in Probability and Statistics
Soggetto topico Medicine - Research - Statistical methods
Medical sciences - Statistical methods - Computer programs
Regression analysis - Data processing
Prognosis - Statistical methods
Logistic distribution
ISBN 1-283-28250-X
9786613282507
0-470-25801-2
0-470-25800-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Survival Analysis: Regression Modeling of Time-to-Event Data; Contents; Preface; 1 Introduction to Regression Modeling of Survival Data; 1.1 Introduction; 1.2 Typical Censoring Mechanisms; 1.3 Example Data Sets; Exercises; 2 Descriptive Methods for Survival Data; 2.1 Introduction; 2.2 Estimating the Survival Function; 2.3 Using the Estimated Survival Function; 2.4 Comparison of Survival Functions; 2.5 Other Functions of Survival Time and Their Estimators; Exercises; 3. Regression Models for Survival Data; 3.1 Introduction; 3.2 Semi-Parametric Regression Models
3.3 Fitting the Proportional Hazards Regression Model3.4 Fitting the Proportional Hazards Model with Tied Survival Times; 3.5 Estimating the Survival Function of the Proportional Hazards Regression Model; Exercises; 4. Interpretation of a Fitted Proportional Hazards Regression Model; 4.1 Introduction; 4.2 Nominal Scale Covariate; 4.3 Continuous Scale Covariate; 4.4 Multiple-Covariate Models; 4.5 Interpreting and Using the Estimated Covariate-Adjusted Survival Function; Exercises; 5. Model Development; 5.1 Introduction; 5.2 Purposeful Selection of Covariates
5.2.1 Methods to examine the scale of continuous covariates in the log hazard5.2.2 An example of purposeful selection of covariates; 5.3 Stepwise, Best-Subsets and Multivariable Fractional PolynomialMethods of Selecting Covariates; 5.3.1 Stepwise selection of covariates; 5.3.2 Best subsets selection of covariates; 5.3.3 Selecting covariates and checking their scale using multivariable fractional polynomials; 5.4 Numerical Problems; Exercises; 6. Assessment of Model Adequacy; 6.1 Introduction; 6.2 Residuals; 6.3 Assessing the Proportional Hazards Assumption
6.4 Identification of Influential and Poorly Fit Subjects6.5 Assessing Overall Goodness-of-Fit; 6.6 Interpreting and Presenting Results From the Final Model; Exercises; 7. Extensions of the Proportional Hazards Model; 7.1 Introduction; 7.2 The Stratified Proportional Hazards Model; 7.3 Time-Varying Covariates; 7.4 Truncated, Left Censored and Interval Censored Data; Exercises; 8. Parametric Regression Models; 8.1 Introduction; 8.2 The Exponential Regression Model; 8.3 The Weibull Regression Model; 8.4 The Log-Logistic Regression Model; 8.5 Other Parametric Regression Models; Exercises
9. Other Models and Topics9.1 Introduction; 9.2 Recurrent Event Models; 9.3 Frailty Models; 9.4 Nested Case-Control Studies; 9.5 Additive Models; 9.6 Competing Risk Models; 9.7 Sample Size and Power; 9.8 Missing Data; Exercises; Appendix 1 The Delta Method; Appendix 2 An Introduction to the Counting Process Approach to Survival Analysis; Appendix 3 Percentiles for Computation of the Hall and Wellner Confidence Band; References; Index
Record Nr. UNINA-9910130964503321
Hosmer David W.  
Hoboken, New Jersey : , : Wiley-Interscience, , 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Biomedical Statistics : A Beginner's Guide / / by Shakti Kumar Yadav, Sompal Singh, Ruchika Gupta
Biomedical Statistics : A Beginner's Guide / / by Shakti Kumar Yadav, Sompal Singh, Ruchika Gupta
Autore Yadav Shakti Kumar
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xxiii, 287 pages)
Disciplina 610.727
Soggetto topico Bioinformatics
Medical informatics
Health promotion
Health Informatics
Health Promotion and Disease Prevention
Estadística mèdica
Soggetto genere / forma Llibres electrònics
ISBN 981-329-294-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Applications of Statistics -- Chapter 2. Statistical Terms -- Chapter 3. Data Types -- Chapter 4. Data Classification -- Chapter 5. Data Presentation -- Chapter 6. Measures of Central Tendency -- Chapter 7. Measures of Location -- Chapter 8. Measures of Dispersion -- Chapter 9. Sampling Methods -- Chapter 10. Statistical Distribution-Continuous -- Chapter 11. Sampling Distribution and Hypothesis testing -- Chapter 12. Test of Inference- one sample or two sample mean -- Chapter 13. Test for Inference- Multiple sample comparisons -- Chapter 14. Test for Inference- Categorical Data I -- Chapter 15. Test for Inference- Categorical Data II -- Chapter 16. Test for Inference- Correlation and Regression -- Chapter 17. Non Parametric Tests -- Chapter 18. Sample Size Estimation -- Chapter 19. Epidemiological Studies -- Chapter 20. Analysis of Diagnostic Test -- Chapter 21. Demography -- Chapter 22. Measures of Demography -- Chapter 23. Infectious Disease Epidemiology -- Chapter 24. Life Tables -- Chapter 25. Introduction to Probability -- Chapter 26. Random Variable and Mathematical Expectation -- Chapter 27. Statistical Distribution- Discrete -- Chapter 28. Univariate logistic regression- Theoretical aspects -- Chapter 29. Use of Computer software for basic statistics.
Record Nr. UNINA-9910373911503321
Yadav Shakti Kumar  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Biostatistica : concetti di base per l'analisi statistica delle scienze dell'area medico-sanitaria / Wayne W. Daniel, Chad L. Cross
Biostatistica : concetti di base per l'analisi statistica delle scienze dell'area medico-sanitaria / Wayne W. Daniel, Chad L. Cross
Autore Daniel, Wayne W.
Edizione [3. ed]
Pubbl/distr/stampa Napoli, : EdiSES, 2019
Descrizione fisica XI, 822 p. : ill. ; 27 cm
Disciplina 610.727
Altri autori (Persone) Cross, Chad L.
Soggetto topico Statistica sanitaria
ISBN 9788833190419
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNISANNIO-SBT0017400
Daniel, Wayne W.  
Napoli, : EdiSES, 2019
Materiale a stampa
Lo trovi qui: Univ. del Sannio
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Biostatistics With 'R': A Guide for Medical Doctors / / by Marco Moscarelli
Biostatistics With 'R': A Guide for Medical Doctors / / by Marco Moscarelli
Autore Moscarelli Marco
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (248 pages)
Disciplina 610
610.727
Soggetto topico Medicine
Biometry
Clinical medicine - Research
Clinical Medicine
Biostatistics
Clinical Research
ISBN 9783031330735
3031330730
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. How “R” works -- Chapter 3. Exploratory data analysis in “R” -- Chapter 4. Data types in “R” -- Chapter 5. Data distribution -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis -- Chapter 12. Propensity score matching.
Record Nr. UNINA-9910739412103321
Moscarelli Marco  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Clinical Data Analysis on a Pocket Calculator : Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing / / by Ton J. Cleophas, Aeilko H. Zwinderman
Clinical Data Analysis on a Pocket Calculator : Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing / / by Ton J. Cleophas, Aeilko H. Zwinderman
Autore Cleophas Ton J
Edizione [2nd ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXIII, 334 p. 65 illus., 41 illus. in color.)
Disciplina 610.727
Soggetto topico Medicine
Entomology
Pharmacy
Statistics 
Biomedicine, general
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 3-319-27104-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface.-I Continuous Outcome Data -- Data Spread, Standard Deviations -- Data Summaries: Histograms, Wide and Narrow Gaussian Curves -- Null-Hypothesis Testing with Graphs -- Null-Hypothesis Testing with the T-table -- One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon -- Paired Continuous Data (Paired T-Test, Two-Sample Wilcoxon Signed Rank Test) -- Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney) -- Linear Regression (Regression Coefficients, Correlation Coefficients, and their Standard Errors) -- Kendall-Tau Regression for Ordinal Data -- Paired Continuous Data, Analysis with Help of Correlation Coefficients -- Power Equations -- Sample Size Calculations -- Confidence Intervals -- Equivalence Testing instead of Null-Hypothesis Testing -- Noninferiority Testing instead of Null-Hypothesis Testing -- Superiority Testing instead of Null-Hypothesis Testing -- Missing Data Imputation -- Bonferroni Adjustments -- Unpaired Analysis of Variance (ANOVA) -- Paired Analysis of Variance (ANOVA).-Variability Analysis for One or Two Samples -- 22 Variability Analysis for Three or More Samples -- Confounding -- Propensity Score and Propensity Score Matching for Multiple Confounders -- Interaction -- Accuracy and Reliability Assessments -- Robust Tests for Imperfect Data -- Non-linear Modeling on a Pocket Calculator -- Fuzzy Modeling for Imprecise and Incomplete Data -- Bhattacharya Modeling for Unmasking Hidden Gaussian Curves -- Item Response Modeling instead of Classical Linear Analysis of Questionnaires -- Meta-Analysis -- Goodness of Fit Tests for Identifying Nonnormal Data -- Non-Parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis) -- II Binary Outcome Data.-Data Spread: Standard Deviation, One Sample Z- Test, One Sample Binomial Test -- Z-Tests -- Phi Tests for Nominal Data -- 38 Chi-Square Tests -- Fisher Exact Tests Convenient for Small Samples -- Confounding -- Interaction -- Chi-square Tests for Large Cross-Tabs -- Logarithmic Transformations, a Great Help to Statistical Analyses -- Odds Ratios, a Short-Cut for Analyzing Cross-Tabs -- Log odds, the Basis of Logistic Regression -- Log Likelihood Ratio Tests for the Best Precision -- Hierarchical Loglinear Models for Higher Order Cross-Tabs -- McNemar Tests for Paired Cross-Tabs -- McNemar Odds Ratios -- Power Equations -- Sample Size Calculations -- Accuracy Assessments -- Reliability Assessments -- Unmasking Fudged Data -- Markov Modeling for Predictions outside the Range of Observations -- Binary Partitioning with CART (Classification and Regression Tree) Methods -- Meta-Analysis -- Physicians' Daily Life and the Scientific Method -- Incident Analysis and the Scientific Method -- Cochran Tests for Large Paired Cross-Tabs.-Index. .
Record Nr. UNINA-9910253872103321
Cleophas Ton J  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating / / by Ewout W. Steyerberg
Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating / / by Ewout W. Steyerberg
Autore Steyerberg Ewout W
Edizione [2nd ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (574 pages)
Disciplina 610.727
Collana Statistics for Biology and Health
Soggetto topico Medical statistics
Medicine - Research - Statistical methods
Models, Statistical
Regression Analysis
ISBN 3-030-16399-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Applications of prediction models.Study design for prediction modeling -- Statistical Models for Prediction -- Overfitting and optimism in prediction models -- Choosing between alternative statistical models -- Missing values -- Case study on dealing with missing values -- Coding of Categorical and Continuous Predictors -- Restrictions on candidate predictors -- Selection of main effects -- Assumptions in regression models: Additivity and linearity -- Modern estimation methods -- Estimation with external information -- Evaluation of performance -- Evaluation of Clinical Usefulness -- Validation of Prediction Models -- Presentation formats -- Patterns of external validity -- Updating for a new setting -- Updating for multiple settings -- Case study on a prediction of 30-day mortality -- Case study on Survival Analysis: prediction of cardiovascular events -- Overall lessons and data sets -- References.
Record Nr. UNINA-9910349349103321
Steyerberg Ewout W  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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