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Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / / Marcus Hellwig
| Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / / Marcus Hellwig |
| Autore | Hellwig Marcus |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 110 p. 95 illus., 93 illus. in color.) |
| Disciplina | 614.4072 |
| Soggetto topico |
Epidemiology - Statistical methods
Epidemiologia Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-69500-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trends in the spread of infections, distribution and contact rates -- Addition of the 4th parameter kurtosis to the density Eqb -- Prediction using the density function and continuous adjustment of the parameters -- Basics for exponential propagation, the logarithm of historical data -- Developments in the USA -- Incidence under probabilistic aspects -- On the percolation theory COVID -- Examples of percolation effects. |
| Record Nr. | UNINA-9910483200403321 |
Hellwig Marcus
|
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial and spatio-temporal epidemiology
| Spatial and spatio-temporal epidemiology |
| Pubbl/distr/stampa | Amsterdam, : Elsevier, 2009- |
| Descrizione fisica | volumes : illustrations (some color) ; ; 27 cm |
| Disciplina | 614.4072 |
| Soggetto topico |
Epidemiology - Statistical methods
Epidemiology Epidemiologic Methods Statistics as Topic - methods Geographic Information Systems Épidémiologie - Méthodes statistiques Épidémiologie |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 1877-5853 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910333254103321 |
| Amsterdam, : Elsevier, 2009- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial and spatio-temporal epidemiology
| Spatial and spatio-temporal epidemiology |
| Pubbl/distr/stampa | Amsterdam, : Elsevier, 2009- |
| Descrizione fisica | volumes : illustrations (some color) ; ; 27 cm |
| Disciplina | 614.4072 |
| Soggetto topico |
Epidemiology - Statistical methods
Epidemiology Epidemiologic Methods Statistics as Topic - methods Geographic Information Systems |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 1877-5853 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996200229903316 |
| Amsterdam, : Elsevier, 2009- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Statistical advances in the biomedical sciences [[electronic resource] ] : clinical trials, epidemiology, survival analysis, and bioinformatics / / edited by Atanu Biswas ... [et al.]
| Statistical advances in the biomedical sciences [[electronic resource] ] : clinical trials, epidemiology, survival analysis, and bioinformatics / / edited by Atanu Biswas ... [et al.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2008 |
| Descrizione fisica | 1 online resource (623 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) | BiswasAtanu <1970-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Medicine - Research - Statistical methods
Biology - Research - Statistical methods Clinical trials - Statistical methods Epidemiology - Statistical methods Survival analysis (Biometry) Bioinformatics |
| ISBN |
1-281-22154-6
9786611221546 0-470-18121-4 0-470-18119-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Advances in the Biomedical Sciences; Contents; Preface; Acknowledgments; Contributors; PART I CLINICAL TRIALS; 1. Phase I Clinical Trials; 1.1 Introduction; 1.2 Phase I Trials in Healthy Volunteers; 1.3 Phase I Trials with Toxic Outcomes Enrolling Patients; 1.3.1 Parametric versus Nonparametric designs; 1.3.2 Markovian-Motivated Up-and-Down Designs; 1.3.3 Isotonic Designs; 1.3.4 Bayesian Designs; 1.3.5 Time-to-Event Design Modifications; 1.4 Other Design Problems in Dose Finding; 1.5 Concluding Remarks; 2. Phase II Clinical Trials; 2.1 Introduction; 2.1.1 Background
2.1.2 The Role of Phase II Clinical Trials in Clinical Evaluation of a Novel Therapeutic Agent2.1.3 Phase II Clinical Trial Designs; 2.2 Frequentist Methods in Phase II Clinical Trials; 2.2.1 Review of Frequentist Methods and Their Applications in Phase II Clinical Trials; 2.2.2 Frequentist Methods for Single-Treatment Pilot Studies; 2.2.3 Frequentist Methods for Comparative Studies; 2.2.4 Frequentist Methods for Screening Studies; 2.3 Bayesian Methods in Phase II Clinical Trials; 2.3.1 Review of Bayesian Methods and Their Application in Phase II Clinical Trials 2.3.2 Bayesian Methods for Single-Treatment Pilot Studies, Comparative Studies and Selection Screens2.4 Decision-Theoretic Methods in Phase II Clinical Trials; 2.5 Analysis of Multiple Endpoints in Phase II Clinical Trials; 2.6 Outstanding Issues in Phase II Clinical Trials; 3. Response-Adaptive Designs in Phase III Clinical Trials; 3.1 Introduction; 3.2 Adaptive Designs for Binary Treatment Responses; 3.2.1 Play-the-Winner Design; 3.2.2 Randomized Play-the-Winner Design; 3.2.3 Generalized Pólya's Urn (GPU); 3.2.4 Randomized Pólya Urn Design; 3.2.5 Birth-and-Death Urn Design 3.2.6 Birth-and-Death Urn with Immigration Design3.2.7 Drop-the-Loser Urn Design; 3.2.8 Sequential Estimation-Adjusted Urn Design; 3.2.9 Doubly Adaptive Biased Coin Design; 3.3 Adaptive Designs for Binary Treatment Responses Incorporating Covariates; 3.3.1 Covariate-Adaptive Randomized Play-the-Winner Design; 3.3.2 Treatment Effect Mappings; 3.3.3 Drop-the-Loser Design with Covariate; 3.4 Adaptive Designs for Categorical Responses; 3.5 Adaptive Designs for Continuous Responses; 3.5.1 Nonparametric-Score-Based Allocation Designs; 3.5.2 Link-Function-Based Allocation Designs 3.5.3 Continuous Drop-the-Loser Design3.6 Optimal Adaptive Designs; 3.7 Delayed Responses in Adaptive Designs; 3.8 Biased Coin Designs; 3.9 Real Adaptive Clinical Trials; 3.10 Data Study for Different Adaptive Schemes; 3.10.1 Fluoxetine Trial; 3.10.2 Pregabalin Trial; 3.10.3 Simulated Trial; 3.11 Concluding Remarks; 4. Inverse Sampling for Clinical Trials: A Brief Review of Theory and Practice; 4.1 Introduction; 4.1.1 Inverse Binomial Sampling; 4.1.2 Partial Sequential Sampling; 4.2 Two-Sample Randomized Inverse Sampling for Clinical Trials; 4.2.1 Use of Mann-Whitney Statistics 4.2.2 Fixed-Width Confidence Interval Estimation |
| Record Nr. | UNINA-9910144744603321 |
| Hoboken, N.J., : Wiley-Interscience, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical advances in the biomedical sciences [[electronic resource] ] : clinical trials, epidemiology, survival analysis, and bioinformatics / / edited by Atanu Biswas ... [et al.]
| Statistical advances in the biomedical sciences [[electronic resource] ] : clinical trials, epidemiology, survival analysis, and bioinformatics / / edited by Atanu Biswas ... [et al.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2008 |
| Descrizione fisica | 1 online resource (623 p.) |
| Disciplina | 610.72/7 |
| Altri autori (Persone) | BiswasAtanu <1970-> |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Medicine - Research - Statistical methods
Biology - Research - Statistical methods Clinical trials - Statistical methods Epidemiology - Statistical methods Survival analysis (Biometry) Bioinformatics |
| ISBN |
1-281-22154-6
9786611221546 0-470-18121-4 0-470-18119-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Advances in the Biomedical Sciences; Contents; Preface; Acknowledgments; Contributors; PART I CLINICAL TRIALS; 1. Phase I Clinical Trials; 1.1 Introduction; 1.2 Phase I Trials in Healthy Volunteers; 1.3 Phase I Trials with Toxic Outcomes Enrolling Patients; 1.3.1 Parametric versus Nonparametric designs; 1.3.2 Markovian-Motivated Up-and-Down Designs; 1.3.3 Isotonic Designs; 1.3.4 Bayesian Designs; 1.3.5 Time-to-Event Design Modifications; 1.4 Other Design Problems in Dose Finding; 1.5 Concluding Remarks; 2. Phase II Clinical Trials; 2.1 Introduction; 2.1.1 Background
2.1.2 The Role of Phase II Clinical Trials in Clinical Evaluation of a Novel Therapeutic Agent2.1.3 Phase II Clinical Trial Designs; 2.2 Frequentist Methods in Phase II Clinical Trials; 2.2.1 Review of Frequentist Methods and Their Applications in Phase II Clinical Trials; 2.2.2 Frequentist Methods for Single-Treatment Pilot Studies; 2.2.3 Frequentist Methods for Comparative Studies; 2.2.4 Frequentist Methods for Screening Studies; 2.3 Bayesian Methods in Phase II Clinical Trials; 2.3.1 Review of Bayesian Methods and Their Application in Phase II Clinical Trials 2.3.2 Bayesian Methods for Single-Treatment Pilot Studies, Comparative Studies and Selection Screens2.4 Decision-Theoretic Methods in Phase II Clinical Trials; 2.5 Analysis of Multiple Endpoints in Phase II Clinical Trials; 2.6 Outstanding Issues in Phase II Clinical Trials; 3. Response-Adaptive Designs in Phase III Clinical Trials; 3.1 Introduction; 3.2 Adaptive Designs for Binary Treatment Responses; 3.2.1 Play-the-Winner Design; 3.2.2 Randomized Play-the-Winner Design; 3.2.3 Generalized Pólya's Urn (GPU); 3.2.4 Randomized Pólya Urn Design; 3.2.5 Birth-and-Death Urn Design 3.2.6 Birth-and-Death Urn with Immigration Design3.2.7 Drop-the-Loser Urn Design; 3.2.8 Sequential Estimation-Adjusted Urn Design; 3.2.9 Doubly Adaptive Biased Coin Design; 3.3 Adaptive Designs for Binary Treatment Responses Incorporating Covariates; 3.3.1 Covariate-Adaptive Randomized Play-the-Winner Design; 3.3.2 Treatment Effect Mappings; 3.3.3 Drop-the-Loser Design with Covariate; 3.4 Adaptive Designs for Categorical Responses; 3.5 Adaptive Designs for Continuous Responses; 3.5.1 Nonparametric-Score-Based Allocation Designs; 3.5.2 Link-Function-Based Allocation Designs 3.5.3 Continuous Drop-the-Loser Design3.6 Optimal Adaptive Designs; 3.7 Delayed Responses in Adaptive Designs; 3.8 Biased Coin Designs; 3.9 Real Adaptive Clinical Trials; 3.10 Data Study for Different Adaptive Schemes; 3.10.1 Fluoxetine Trial; 3.10.2 Pregabalin Trial; 3.10.3 Simulated Trial; 3.11 Concluding Remarks; 4. Inverse Sampling for Clinical Trials: A Brief Review of Theory and Practice; 4.1 Introduction; 4.1.1 Inverse Binomial Sampling; 4.1.2 Partial Sequential Sampling; 4.2 Two-Sample Randomized Inverse Sampling for Clinical Trials; 4.2.1 Use of Mann-Whitney Statistics 4.2.2 Fixed-Width Confidence Interval Estimation |
| Record Nr. | UNINA-9910829110603321 |
| Hoboken, N.J., : Wiley-Interscience, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
| Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui |
| Autore | Lui Kung-Jong |
| Pubbl/distr/stampa | Chichester ; ; Hoboken, NJ, : Wiley, c2004 |
| Descrizione fisica | 1 online resource (213 p.) |
| Disciplina |
614.4/2/0727
614.4015195 |
| Collana | Statistics in practice |
| Soggetto topico | Epidemiology - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-26954-5
9786610269549 0-470-09407-9 0-470-09408-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data 4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling 5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling 7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling 8.2 A series of independent binomial sampling procedures |
| Record Nr. | UNINA-9910143227203321 |
|
Lui Kung-Jong
|
||
| Chichester ; ; Hoboken, NJ, : Wiley, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
| Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui |
| Autore | Lui Kung-Jong |
| Pubbl/distr/stampa | Chichester ; ; Hoboken, NJ, : Wiley, c2004 |
| Descrizione fisica | 1 online resource (213 p.) |
| Disciplina |
614.4/2/0727
614.4015195 |
| Collana | Statistics in practice |
| Soggetto topico | Epidemiology - Statistical methods |
| ISBN |
1-280-26954-5
9786610269549 0-470-09407-9 0-470-09408-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data 4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling 5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling 7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling 8.2 A series of independent binomial sampling procedures |
| Record Nr. | UNINA-9910830449303321 |
|
Lui Kung-Jong
|
||
| Chichester ; ; Hoboken, NJ, : Wiley, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
| Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui |
| Autore | Lui Kung-Jong |
| Pubbl/distr/stampa | Chichester ; ; Hoboken, NJ, : Wiley, c2004 |
| Descrizione fisica | 1 online resource (213 p.) |
| Disciplina |
614.4/2/0727
614.4015195 |
| Collana | Statistics in practice |
| Soggetto topico | Epidemiology - Statistical methods |
| ISBN |
1-280-26954-5
9786610269549 0-470-09407-9 0-470-09408-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data 4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling 5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling 7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling 8.2 A series of independent binomial sampling procedures |
| Record Nr. | UNINA-9910840753603321 |
|
Lui Kung-Jong
|
||
| Chichester ; ; Hoboken, NJ, : Wiley, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in spatial epidemiology / / Andrew B. Lawson
| Statistical methods in spatial epidemiology / / Andrew B. Lawson |
| Autore | Lawson Andrew (Andrew B.) |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] |
| Descrizione fisica | 1 online resource (424 pages) |
| Disciplina |
614.4
614.42 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Epidemiology - Statistical methods
Medical geography - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-72317-1
0-470-03577-3 0-470-03578-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Title Page ""; ""Contents""; ""Preface and Acknowledgements to Second Edition""; ""Preface and Acknowledgements""; ""I The Nature of Spatial Epidemiology ""; ""1 Definitions, Terminology and Data Sets ""; ""1.1 Map Hypotheses and Modelling Approaches""; ""1.2 Definitions and Data Examples""; ""1.2.1 Case event data""; ""1.2.2 Count data""; ""1.3 Further Definitions""; ""1.3.1 Control events and processes""; ""1.3.2 Census tract information""; ""1.3.3 Clustering definitions""; ""1.4 Some Data Examples""; ""1.4.1 Case event examples""; ""1.4.2 Count data examples""
""2 Scales of Measurement and Data Availability """"2.1 Small Scale""; ""2.2 Large Scale""; ""2.3 Rate Dependence""; ""2.4 Data Quality and the Ecological Fallacy""; ""2.5 Edge Effects""; ""3 Geographical Representation and Mapping ""; ""3.1 Introduction and Definitions""; ""3.2 Maps and Mapping""; ""3.2.1 Statistical maps and mapping""; ""3.2.2 Object process mapping""; ""3.2.3 Geostatistical mapping""; ""3.3 Statistical Accuracy""; ""3.4 Aggregation""; ""3.5 Mapping Issues Related to Aggregated Data""; ""3.6 Conclusions""; ""4 Basic Models ""; ""4.1 Sampling Considerations"" ""4.2 Likelihood-Based and Bayesian Approaches""""4.3 Point Event Models""; ""4.3.1 Point process models and applications""; ""4.3.2 The basic Poisson process model""; ""4.3.3 Hybrid models and regionalisation""; ""4.3.4 Bayesian models and random effects""; ""4.3.5 MAP estimation, empirical Bayes and full Bayesian analysis""; ""4.3.6 Bivariate/multivariate models""; ""4.3.7 Hidden structure and mixture models""; ""4.3.8 Space-time extensions""; ""4.4 Count Models""; ""4.4.1 Standard models""; ""4.4.2 Approximations""; ""4.4.3 Random-effect extensions"" ""4.4.4 Hidden structure and mixture models""""4.4.5 Space-time extensions""; ""5 Exploratory Approaches, Parametric Estimation and Inference ""; ""5.1 Exploratory Methods""; ""5.1.1 Cartographic issues""; ""5.1.2 Case event mapping""; ""5.1.3 Count mapping""; ""5.2 Parameter Estimation""; ""5.2.1 Case event likelihood models""; ""5.2.2 Count event likelihood models""; ""5.2.3 Approximations""; ""5.2.4 Bayesian models""; ""5.3 Residual Diagnostics""; ""5.4 Hypothesis Testing""; ""5.5 Edge Effects""; ""5.5.1 Edge effects in case events""; ""5.5.2 Edge effects in counts"" ""5.5.3 Edge weighting schemes and MCMC methods""""5.5.4 Discussion""; ""5.5.5 The Tuscany example""; ""II Important Problems in Spatial Epidemiology ""; ""6 Small Scale: Disease Clustering ""; ""6.1 Definition of Clusters and Clustering""; ""6.2 Modelling Issues""; ""6.3 Hypothesis Tests for Clustering""; ""6.3.1 General non-specific clustering""; ""6.3.2 Specific clustering""; ""6.4 Space-Time Clustering""; ""6.4.1 Modelling issues""; ""6.4.2 Hypothesis testing""; ""6.5 Clustering Examples""; ""6.5.1 Humberside example""; ""6.5.2 Larynx cancer example"" ""6.5.3 Count data clustering example"" |
| Record Nr. | UNINA-9910141564603321 |
|
Lawson Andrew (Andrew B.)
|
||
| Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in spatial epidemiology / / Andrew B. Lawson
| Statistical methods in spatial epidemiology / / Andrew B. Lawson |
| Autore | Lawson Andrew (Andrew B.) |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] |
| Descrizione fisica | 1 online resource (424 pages) |
| Disciplina |
614.4
614.42 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Epidemiology - Statistical methods
Medical geography - Statistical methods |
| ISBN |
1-118-72317-1
0-470-03577-3 0-470-03578-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Title Page ""; ""Contents""; ""Preface and Acknowledgements to Second Edition""; ""Preface and Acknowledgements""; ""I The Nature of Spatial Epidemiology ""; ""1 Definitions, Terminology and Data Sets ""; ""1.1 Map Hypotheses and Modelling Approaches""; ""1.2 Definitions and Data Examples""; ""1.2.1 Case event data""; ""1.2.2 Count data""; ""1.3 Further Definitions""; ""1.3.1 Control events and processes""; ""1.3.2 Census tract information""; ""1.3.3 Clustering definitions""; ""1.4 Some Data Examples""; ""1.4.1 Case event examples""; ""1.4.2 Count data examples""
""2 Scales of Measurement and Data Availability """"2.1 Small Scale""; ""2.2 Large Scale""; ""2.3 Rate Dependence""; ""2.4 Data Quality and the Ecological Fallacy""; ""2.5 Edge Effects""; ""3 Geographical Representation and Mapping ""; ""3.1 Introduction and Definitions""; ""3.2 Maps and Mapping""; ""3.2.1 Statistical maps and mapping""; ""3.2.2 Object process mapping""; ""3.2.3 Geostatistical mapping""; ""3.3 Statistical Accuracy""; ""3.4 Aggregation""; ""3.5 Mapping Issues Related to Aggregated Data""; ""3.6 Conclusions""; ""4 Basic Models ""; ""4.1 Sampling Considerations"" ""4.2 Likelihood-Based and Bayesian Approaches""""4.3 Point Event Models""; ""4.3.1 Point process models and applications""; ""4.3.2 The basic Poisson process model""; ""4.3.3 Hybrid models and regionalisation""; ""4.3.4 Bayesian models and random effects""; ""4.3.5 MAP estimation, empirical Bayes and full Bayesian analysis""; ""4.3.6 Bivariate/multivariate models""; ""4.3.7 Hidden structure and mixture models""; ""4.3.8 Space-time extensions""; ""4.4 Count Models""; ""4.4.1 Standard models""; ""4.4.2 Approximations""; ""4.4.3 Random-effect extensions"" ""4.4.4 Hidden structure and mixture models""""4.4.5 Space-time extensions""; ""5 Exploratory Approaches, Parametric Estimation and Inference ""; ""5.1 Exploratory Methods""; ""5.1.1 Cartographic issues""; ""5.1.2 Case event mapping""; ""5.1.3 Count mapping""; ""5.2 Parameter Estimation""; ""5.2.1 Case event likelihood models""; ""5.2.2 Count event likelihood models""; ""5.2.3 Approximations""; ""5.2.4 Bayesian models""; ""5.3 Residual Diagnostics""; ""5.4 Hypothesis Testing""; ""5.5 Edge Effects""; ""5.5.1 Edge effects in case events""; ""5.5.2 Edge effects in counts"" ""5.5.3 Edge weighting schemes and MCMC methods""""5.5.4 Discussion""; ""5.5.5 The Tuscany example""; ""II Important Problems in Spatial Epidemiology ""; ""6 Small Scale: Disease Clustering ""; ""6.1 Definition of Clusters and Clustering""; ""6.2 Modelling Issues""; ""6.3 Hypothesis Tests for Clustering""; ""6.3.1 General non-specific clustering""; ""6.3.2 Specific clustering""; ""6.4 Space-Time Clustering""; ""6.4.1 Modelling issues""; ""6.4.2 Hypothesis testing""; ""6.5 Clustering Examples""; ""6.5.1 Humberside example""; ""6.5.2 Larynx cancer example"" ""6.5.3 Count data clustering example"" |
| Record Nr. | UNINA-9910830962403321 |
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Lawson Andrew (Andrew B.)
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| Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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