SPSS for Starters, Part 2 (eBook)
IX, 104 Seiten
Springer Netherland (Verlag)
978-94-007-4804-0 (ISBN)
The first part of this title contained all statistical tests that are relevant for starters on SPSS, and included standard parametric and non-parametric tests for continuous and binary variables, regression methods, trend tests, and reliability and validity assessments of diagnostic tests. The current part 2 of this title reviews multistep methods, multivariate models, assessments of missing data, performance of diagnostic tests, meta-regression, Poisson regression, confounding and interaction, and survival analyses using log tests and segmented time-dependent Cox regression. Methods for assessing non linear models, data seasonality, distribution free methods, including Monte Carlo methods and artificial intelligence, and robust tests are also covered.
Each method of testing is explained using a data example from clinical practice,including every step in SPSS, and a text with interpretations of the results and hints convenient for data reporting. In order to facilitate the use of this cookbook the data files of the examples is made available by the editor through extras.springer.com.
Both part 1 and 2 of this title contain a minima amount of text and maximal technical details, but we believe that this property will not refrain students from mastering the SPSS software systematics, and that, instead, it will be a help to that aim. Yet, we recommend that it will used together with the textbook 'Statistics Applied to Clinical Trials' (5th edition, Springer, Dordrecht 2012) and the e-books 'Statistics on a Pocket Calculator Part 1 and 2 (Springer, Dordrecht, 2011 and 2012) from the same authors.
The first part of this title contained all statistical tests that are relevant for starters on SPSS, and included standard parametric and non-parametric tests for continuous and binary variables, regression methods, trend tests, and reliability and validity assessments of diagnostic tests. The current part 2 of this title reviews multistep methods, multivariate models, assessments of missing data, performance of diagnostic tests, meta-regression, Poisson regression, confounding and interaction, and survival analyses using log tests and segmented time-dependent Cox regression. Methods for assessing non linear models, data seasonality, distribution free methods, including Monte Carlo methods and artificial intelligence, and robust tests are also covered. Each method of testing is explained using a data example from clinical practice,including every step in SPSS, and a text with interpretations of the results and hints convenient for data reporting. In order to facilitate the use of this cookbook the data files of the examples is made available by the editor through extras.springer.com. Both part 1 and 2 of this title contain a minima amount of text and maximal technical details, but we believe that this property will not refrain students from mastering the SPSS software systematics, and that, instead, it will be a help to that aim. Yet, we recommend that it will used together with the textbook "e;Statistics Applied to Clinical Trials"e; (5th edition, Springer, Dordrecht 2012) and the e-books "e;Statistics on a Pocket Calculator Part 1 and 2 (Springer, Dordrecht, 2011 and 2012) from the same authors.
Preface.-1 Introduction.-2 Multistage regression.-3 Multivariate analysis using path statistics.-4 Multivariate analysis of variance.-5 Categorical data.-6 Multinomial logistic regression.-7 Missing data imputation.-8 Comparing the performance of diagnostic tests.-9 Meta-regression.-10 Poisson regression.-11 Confounding.-12 Interaction, random effect analysis of variance.-13 Log rank tests.14 Segmented Cox regression.-15 Curvilinear analysis.-16 Loess and spline modelling.-17 Assessing seasonality.-18 Monte Carlo analysis.-19 Artificial intelligence.-20 Robust tests. Final remarks. Index.
| Erscheint lt. Verlag | 9.7.2012 |
|---|---|
| Reihe/Serie | SpringerBriefs in Statistics | SpringerBriefs in Statistics |
| Zusatzinfo | IX, 104 p. 20 illus. |
| Verlagsort | Dordrecht |
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| Medizin / Pharmazie ► Allgemeines / Lexika | |
| Technik | |
| Schlagworte | clinical data • SPSS statistical software • Statistical Analysis |
| ISBN-10 | 94-007-4804-3 / 9400748043 |
| ISBN-13 | 978-94-007-4804-0 / 9789400748040 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 1,5 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
