Applied longitudinal data analysis for epidemiology [[electronic resource] ] : a practical guide / / Jos W.R
| Applied longitudinal data analysis for epidemiology [[electronic resource] ] : a practical guide / / Jos W.R |
| Autore | Twisk Jos W. R. <1962-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
| Descrizione fisica | 1 online resource (xiv, 321 pages) : digital, PDF file(s) |
| Disciplina | 614.4 |
| Collana | Cambridge medicine Applied longitudinal data analysis for epidemiology |
| Soggetto topico |
Epidemiology - Research - Statistical methods
Epidemiology Epidemiology - Statistical methods |
| ISBN |
1-107-06535-6
1-316-09031-0 1-107-05691-8 1-107-05475-3 1-107-05804-X 1-107-05931-3 1-139-34283-5 1-107-05581-4 |
| Classificazione | MED028000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index. |
| Record Nr. | UNINA-9910786730103321 |
Twisk Jos W. R. <1962->
|
||
| Cambridge : , : Cambridge University Press, , 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied longitudinal data analysis for epidemiology [[electronic resource] ] : a practical guide / / Jos W.R
| Applied longitudinal data analysis for epidemiology [[electronic resource] ] : a practical guide / / Jos W.R |
| Autore | Twisk Jos W. R. <1962-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
| Descrizione fisica | 1 online resource (xiv, 321 pages) : digital, PDF file(s) |
| Disciplina | 614.4 |
| Collana | Cambridge medicine Applied longitudinal data analysis for epidemiology |
| Soggetto topico |
Epidemiology - Research - Statistical methods
Epidemiology Epidemiology - Statistical methods |
| ISBN |
1-107-06535-6
1-316-09031-0 1-107-05691-8 1-107-05475-3 1-107-05804-X 1-107-05931-3 1-139-34283-5 1-107-05581-4 |
| Classificazione | MED028000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index. |
| Record Nr. | UNINA-9910817367003321 |
Twisk Jos W. R. <1962->
|
||
| Cambridge : , : Cambridge University Press, , 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Infektionen und Gesellschaft : Was haben wir von COVID-19 gelernt? / / herausgegeben von Ansgar W. Lohse, Thomas C. Mettenleiter
| Infektionen und Gesellschaft : Was haben wir von COVID-19 gelernt? / / herausgegeben von Ansgar W. Lohse, Thomas C. Mettenleiter |
| Autore | Lohse Ansgar W |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Berlin, Heidelberg, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (VIII, 167 S. 28 Abb., 26 Abb. in Farbe.) |
| Disciplina | 614.4 |
| Soggetto topico | Epidemiology |
| Soggetto genere / forma | Conference papers and proceedings |
| ISBN |
9783662660737
3662660733 |
| Classificazione | MED028000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910632868403321 |
Lohse Ansgar W
|
||
| Berlin, Heidelberg, : Springer Nature, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||