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.
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Reston, Virginia : , : U.S. Department of the Interior, Geological Survey, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 |
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 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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.
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Boca Raton : , : CRC Press, , 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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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.
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Boca Raton : , : CRC Press, , 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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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.
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Boca Raton : , : CRC Press, , 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 |
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
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Rockville, Maryland, USA : , : ICF International, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Valencia : , : Universitat Politècnica de València Editorial, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Lo trovi qui: Univ. Federico II | ||
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