Buch, Englisch, 300 Seiten, Format (B × H): 156 mm x 234 mm
Basic and Advanced Statistical Modeling Using SPSS
Buch, Englisch, 300 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-4398-7984-9
Verlag: Taylor & Francis Inc
Designed for medical researchers without a background in statistics, this text takes readers easily from basic boxplots and t-tests to linear and logistic regression and survival analysis to more complex generalized linear and nonlinear models and longitudinal data analysis. With many examples and data drawn from real biomedical research, the book focuses on practical statistical analyses using SPSS. It requires no prior statistical background and only assumes familiarity with elementary mathematics. A solutions manual and figures slides are available with qualifying course adoption.
Zielgruppe
Nonstatistical medical/biomedical researchers, including medical students, medical and postdoctoral fellows, and graduate students; statisticians and graduate students in statistics.
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
Weitere Infos & Material
THE FOUNDATION: Data Summaries: Tables and Graphs. Probability and Distributions. Statistical Inference for One and Two Groups: Numeric Outcomes. Statistical Inference for One and Two Groups: Binary Outcomes. REGRESSION MODELS: ANOVA. Simple Linear Regression. Multiple Regression. Logistic Regression. Survival Analysis. ADVANCED REGRESSION: Multinomial Regression for Nominal Outcomes. Cumulative Logistic and Probit Models for Ordinal Outcomes. Additional Topics. REPEATED MEASURES AND LONGITUDINAL DATA: Repeated Measures ANOVA. Models for Longitudinal Numeric Outcomes. Mixed-Effect Models for Longitudinal Numeric Data. Models for Longitudinal Binary Outcomes.
