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Acoustic tag detections of green sturgeon in the Columbia River and Coos Bay estuaries, Washington and Oregon, 2010-11 / / by Hal C. Hansel, Jason G. Romine, and Russell W. Perry
Acoustic tag detections of green sturgeon in the Columbia River and Coos Bay estuaries, Washington and Oregon, 2010-11 / / by Hal C. Hansel, Jason G. Romine, and Russell W. Perry
Autore Hansel Hal C.
Pubbl/distr/stampa Reston, Virginia : , : U.S. Department of the Interior, Geological Survey, , 2017
Descrizione fisica 1 online resource (vi, 30 pages) : illustrations, maps, tables
Collana Open-file report
Soggetto topico Survival analysis (Biometry)
Fish tagging
Green sturgeon - Migration - Columbia River
Green sturgeon - Migration - Oregon - Coos Bay Estuary
Radio telemetry
Underwater acoustics
Fish populations - Statistical methods
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910713382403321
Hansel Hal C.  
Reston, Virginia : , : U.S. Department of the Interior, Geological Survey, , 2017
Materiale a stampa
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Analysis of censored data : proceedings of the Workshop on Analysis of Censored Data, December 28, 1994-January 1, 1995, University of Pune, Pune, India
Analysis of censored data : proceedings of the Workshop on Analysis of Censored Data, December 28, 1994-January 1, 1995, University of Pune, Pune, India
Pubbl/distr/stampa [Place of publication not identified], : Institute of Mathematical Statistics, 1995
Disciplina 519.5
Collana Lecture notes-monograph series Analysis of censored data
Soggetto topico Censored observations (Statistics) - Congresses
Nonparametric statistics - Congresses
Distribution (Probability theory) - Congresses
Survival analysis (Biometry)
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996210821403316
[Place of publication not identified], : Institute of Mathematical Statistics, 1995
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Analysis of censored data : proceedings of the Workshop on Analysis of Censored Data, December 28, 1994-January 1, 1995, University of Pune, Pune, India
Analysis of censored data : proceedings of the Workshop on Analysis of Censored Data, December 28, 1994-January 1, 1995, University of Pune, Pune, India
Pubbl/distr/stampa [Place of publication not identified], : Institute of Mathematical Statistics, 1995
Disciplina 519.5
Collana Lecture notes-monograph series Analysis of censored data
Soggetto topico Censored observations (Statistics) - Congresses
Nonparametric statistics - Congresses
Distribution (Probability theory) - Congresses
Survival analysis (Biometry)
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482887503321
[Place of publication not identified], : Institute of Mathematical Statistics, 1995
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter
Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter
Autore Houwelingen J. C. van.
Pubbl/distr/stampa Boca Raton : , : CRC Press, , 2012
Descrizione fisica 1 online resource (250 p.)
Disciplina 615.580724
Altri autori (Persone) PutterHein
Collana Monographs on statistics and applied probability
Soggetto topico Proportional hazards models
Survival analysis (Biometry)
Soggetto genere / forma Electronic books.
ISBN 0-429-09433-7
1-280-12190-4
9786613525765
1-4398-3543-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data.
Record Nr. UNINA-9910457525703321
Houwelingen J. C. van.  
Boca Raton : , : CRC Press, , 2012
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Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter
Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter
Autore Houwelingen J. C. van.
Pubbl/distr/stampa Boca Raton : , : CRC Press, , 2012
Descrizione fisica 1 online resource (250 p.)
Disciplina 615.580724
Altri autori (Persone) PutterHein
Collana Monographs on statistics and applied probability
Soggetto topico Proportional hazards models
Survival analysis (Biometry)
ISBN 0-429-09433-7
1-280-12190-4
9786613525765
1-4398-3543-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data.
Record Nr. UNINA-9910778962903321
Houwelingen J. C. van.  
Boca Raton : , : CRC Press, , 2012
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Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter
Dynamic prediction in clinical survival analysis / / Hans van Houwelingen, Hein Putter
Autore Houwelingen J. C. van.
Pubbl/distr/stampa Boca Raton : , : CRC Press, , 2012
Descrizione fisica 1 online resource (250 p.)
Disciplina 615.580724
Altri autori (Persone) PutterHein
Collana Monographs on statistics and applied probability
Soggetto topico Proportional hazards models
Survival analysis (Biometry)
ISBN 0-429-09433-7
1-280-12190-4
9786613525765
1-4398-3543-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data.
Record Nr. UNINA-9910814916803321
Houwelingen J. C. van.  
Boca Raton : , : CRC Press, , 2012
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The effects of fertility behavior on child survival and child nutritional status : evidence from the Demographic and Health Surveys, 2006 to 2012 / / Shea Rutstein, Rebecca Winter
The effects of fertility behavior on child survival and child nutritional status : evidence from the Demographic and Health Surveys, 2006 to 2012 / / Shea Rutstein, Rebecca Winter
Autore Rutstein Shea Oscar
Pubbl/distr/stampa Rockville, Maryland, USA : , : ICF International, , 2014
Descrizione fisica 1 online resource (x, 65 pages) : color illustrations
Collana DHS analytical studies
Soggetto topico Fertility, Human - Risk factors
Birth intervals
Children - Mortality
Survival analysis (Biometry)
Nutrition surveys
Soggetto genere / forma Statistics.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Effects of fertility behavior on child survival and child nutritional status
Record Nr. UNINA-9910711980603321
Rutstein Shea Oscar  
Rockville, Maryland, USA : , : ICF International, , 2014
Materiale a stampa
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Estadística aplicada al ámbito sanitario / / Raffaele Vitale, Marta Hermenegildo Caudevilla, Alberto Jose Ferrer Riquelme
Estadística aplicada al ámbito sanitario / / Raffaele Vitale, Marta Hermenegildo Caudevilla, Alberto Jose Ferrer Riquelme
Autore Vitale Raffaele
Pubbl/distr/stampa Valencia : , : Universitat Politècnica de València Editorial, , [2022]
Descrizione fisica 1 online resource (64 pages)
Disciplina 610.727
Soggetto topico Survival analysis (Biometry)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione spa
Record Nr. UNINA-9910688345003321
Vitale Raffaele  
Valencia : , : Universitat Politècnica de València Editorial, , [2022]
Materiale a stampa
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Mathematical methods in survival analysis, reliability and quality of life [[electronic resource] /] / edited by Catherine Huber ... [et al.]
Mathematical methods in survival analysis, reliability and quality of life [[electronic resource] /] / edited by Catherine Huber ... [et al.]
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (371 p.)
Disciplina 519.5/46
519.546
Altri autori (Persone) HuberCatherine
Collana ISTE
Soggetto topico Failure time data analysis
Survival analysis (Biometry)
ISBN 1-282-25388-3
9786613814531
0-470-61098-0
0-470-39356-4
Classificazione QH 252
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Mathematical Methods in Survival Analysis, Reliability and Quality of Life; Contents; Preface; PART I; Chapter 1. Model Selection for Additive Regression in the Presence of Right-Censoring; 1.1. Introduction; 1.2. Assumptions on the model and the collection of approximation spaces; 1.2.1. Non-parametric regression model with censored data; 1.2.2. Description of the approximation spaces in the univariate case; 1.2.3. The particular multivariate setting of additive models; 1.3. The estimation method; 1.3.1. Transformation of the data; 1.3.2. The mean-square contrast
1.4. Main result for the adaptive mean-square estimator1.5. Practical implementation; 1.5.1. The algorithm; 1.5.2. Univariate examples; 1.5.3. Bivariate examples; 1.5.4. A trivariate example; 1.6. Bibliography; Chapter 2. Non-parametric Estimation of Conditional Probabilities, Means and Quantiles under Bias Sampling; 2.1. Introduction; 2.2. Non-parametric estimation of p; 2.3. Bias depending on the value of Y; 2.4. Bias due to truncation on X; 2.5. Truncation of a response variable in a non-parametric regression model; 2.6. Double censoring of a response variable in a non-parametric model
2.7. Other truncation and censoring of Y in a non-parametric model2.8. Observation by interval; 2.9. Bibliography; Chapter 3. Inference in Transformation Models for Arbitrarily Censored and Truncated Data; 3.1. Introduction; 3.2. Non-parametric estimation of the survival function S; 3.3. Semi-parametric estimation of the survival function S; 3.4. Simulations; 3.5. Bibliography; Chapter 4. Introduction of Within-area Risk Factor Distribution in Ecological Poisson Models; 4.1. Introduction; 4.2. Modeling framework; 4.2.1. Aggregated model; 4.2.2. Prior distributions; 4.3. Simulation framework
4.4. Results4.4.1. Strong association between relative risk and risk factor, correlated within-area means and variances (mean-dependent case); 4.4.2. Sensitivity to within-area distribution of the risk factor; 4.4.3. Application: leukemia and indoor radon exposure; 4.5. Discussion; 4.6. Bibliography; Chapter 5. Semi-Markov Processes and Usefulness in Medicine; 5.1. Introduction; 5.2. Methods; 5.2.1. Model description and notation; 5.2.2. Construction of health indicators; 5.3. An application to HIV control; 5.3.1. Context; 5.3.2. Estimation method
5.3.3. Results: new indicators of health state5.4. An application to breast cancer; 5.4.1. Context; 5.4.2. Age and stage-specific prevalence; 5.4.3. Estimation method; 5.4.4. Results: indicators of public health; 5.5. Discussion; 5.6. Bibliography; Chapter 6. Bivariate Cox Models; 6.1. Introduction; 6.2. A dependence model for duration data; 6.3. Some useful facts in bivariate dependence; 6.4. Coherence; 6.5. Covariates and estimation; 6.6. Application: regression of Spearman's rho on covariates; 6.7. Bibliography; Chapter 7. Non-parametric Estimation of a Class of Survival Functionals
7.1. Introduction
Record Nr. UNINA-9910139469703321
London, : ISTE
Materiale a stampa
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Outcome prediction in cancer [[electronic resource] /] / editors, Azzam F.G. Taktak and Anthony C. Fisher
Outcome prediction in cancer [[electronic resource] /] / editors, Azzam F.G. Taktak and Anthony C. Fisher
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier, 2007
Descrizione fisica 1 online resource (483 p.)
Disciplina 362.196994
616.994
Altri autori (Persone) TaktakAzzam F. G
FisherAnthony C., Dr.
Soggetto topico Cancer - Diagnosis
Cancer - Prognosis
Neural networks (Computer science)
Survival analysis (Biometry)
Soggetto genere / forma Electronic books.
ISBN 1-280-74728-5
9786610747283
0-08-046803-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front cover; Title page; Copyright page; Foreword; Table of Contents; Contributors; Introduction; Section 1: The Clinical Problem; Chapter 1: The Predictive Value of Detailed Histological Staging of Surgical Resection Specimens in Oral Cancer; 1. INTRODUCTION; 2. PREDICTIVE FEATURES RELATED TO THE PRIMARY TUMOUR; 3. PREDICTIVE FEATURES RELATED TO THE REGIONAL LYMPH NODES; 4. DISTANT (SYSTEMIC) METASTASES; 5. GENERAL PATIENT FEATURES; 6. MOLECULAR AND BIOLOGICAL MARKERS; 7. THE WAY AHEAD?; REFERENCES; Chapter 2: Survival after Treatment of Intraocular Melanoma; 1. INTRODUCTION
2. INTRAOCULAR MELANOMA3. STATISTICAL METHODS FOR PREDICTING METASTATIC DISEASE; 4. PREDICTING METASTATIC DEATH WITH NEURAL NETWORKS; 5. MISCELLANEOUS ERRORS; 6. A NEURAL NETWORK FOR PREDICTING SURVIVAL IN UVEAL MELANOMA PATIENTS; 7. CAVEATS REGARDING INTERPRETATION OF SURVIVAL STATISTICS; 8. FURTHER STUDIES; 9. CONCLUSIONS; REFERENCES; Chapter 3: Recent Developments in Relative Survival Analysis; 1. INTRODUCTION; 2. CAUSE-SPECIFIC SURVIVAL; 3. INDEPENDENCE ASSUMPTION; 4. EXPECTED SURVIVAL; 5. RELATIVE SURVIVAL; 6. POINT OF CURE; 7. REGRESSION ANALYSIS; 8. PERIOD ANALYSIS
9. AGE STANDARDIZATION10. PARAMETRIC METHODS; 11. MULTIPLE TUMOURS; 12. CONCLUSION; REFERENCES; Section 2: Biological and Genetic Factors; Chapter 4: Environmental and Genetic Risk Factors of Lung Cancer; 1. INTRODUCTION; 2. LUNG CANCER INCIDENCE AND MORTALITY; 3. CONCLUSION; REFERENCES; Chapter 5: Chaos, Cancer, the Cellular Operating System and the Prediction of Survival in Head and Neck Cancer; 1. INTRODUCTION; 2. CANCER AND ITS CAUSATION; 3. FUNDAMENTAL CELL BIOLOGY AND ONCOLOGY; 4. A NEW DIRECTION FOR FUNDAMENTAL CELL BIOLOGY AND ONCOLOGY
5. COMPLEX SYSTEMS ANALYSIS AS APPLIED TO BIOLOGICAL SYSTEMS AND SURVIVAL ANALYSIS6. METHODS OF ANALYSING FAILURE IN BIOLOGICAL SYSTEMS; 7. A COMPARISON OF A NEURAL NETWORK WITH COX'S REGRESSION IN PREDICTING SURVIVAL IN OVER 800 PATIENTS; 8. THE NEURAL NETWORK AND FUNDAMENTAL BIOLOGY AND ONCOLOGY; 9. THE DIRECTION OF FUTURE WORK; 10. SUMMARY; REFERENCES; Section 3: Mathematical Background of Prognostic Models; Chapter 6: Flexible Hazard Modelling for Outcome Prediction in Cancer: Perspectives for the Use of Bioinformatics Knowledge; 1. INTRODUCTION; 2. FAILURE TIME DATA
3. PARTITION AND GROUPING OF FAILURE TIMES4. COMPETING RISKS; 5. GLMs AND FFANNs; 6. APPLICATIONS TO CANCER DATA; 7. CONCLUSIONS; REFERENCES; Chapter 7: Information Geometry for Survival Analysis and Feature Selection by Neural Networks; 1. INTRODUCTION; 2. SURVIVAL FUNCTIONS; 3. STANDARD MODELS FOR SURVIVAL ANALYSIS; 4. THE NEURAL NETWORK MODEL; 5. LEARNING IN THE CPENN MODEL; 6. THE BAYESIAN APPROACH TO MODELLING; 7. VARIABLE SELECTION; 8. THE LAYERED PROJECTION ALGORITHM; 9. A SEARCH STRATEGY; 10. EXPERIMENTS; 11. CONCLUSION; REFERENCES
Chapter 8: Artificial Neural Networks Used in the Survival Analysis of Breast Cancer Patients: A Node-Negative Study
Record Nr. UNINA-9910457223503321
Amsterdam ; ; Boston, : Elsevier, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
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