This book describes the algorithms and procedures used to fit statistical models to data. The material covered is taught in the Advanced Statistical Computing course in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Statistics but instead to find practical methods for analyzing data, a strong emphasis has been put on choice of appropriate standard statistical model and statistical inference methods (parametric, non-parametric, resampling methods) for different types of data. Then, methods for processing multivariate data are briefly reviewed. Basis of such understanding, is the primary function of modern statistical methods. Our objective in producing this Handbook is to be comprehensive in terms of concepts and techniques (but not necessarily exhaustive), representative and independent in terms of software tools, and above all practical in terms of application and implementation. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures. Advanced Statistical Methods 1 ADVANCED STATISTICAL METHODS: PART 1: INTRODUCTION TO PROPENSITY SCORES IN STATA Learning objectives: To understand the use of propensity scores as a means for controlling for selection bias in observational studies of treatment effects.
Description
Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software.
New to the Sixth Edition
- Instructor ancillaries are now available with the sixth edition.
- All SPSS directions and screenshots have been updated to Version 23 of the software.
- Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction.
- Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.
About the Authors
Craig A. Mertler
Phoenix, AZ, United States
Craig A Mertler, Ph.D., is a Professor of Educational Leadership and Innovation and Director of the Doctoral Program in Leadership and Innovation at Arizona State University, Phoenix, Arizona, USA.
![Probability Probability](/uploads/1/2/4/8/124821157/664088515.png)
Rachel Vannatta Reinhart, Ph.D. is a Professor of Assessment, Research and Statistics in the School of Educational Foundations, Leadership and Policy at Bowling Green State University.
Subject Categories
- Behavioral Sciences
- Psychological Science
- Research Methods
- Quantitative and Statistical Methods
BISAC Subject Codes/Headings:
![Statistical methods pdf Statistical methods pdf](/uploads/1/2/4/8/124821157/604522315.png)
Advanced Statistical Methods Pdf
- PSY030000
- PSYCHOLOGY / Research & Methodology
- SOC024000
- SOCIAL SCIENCE / Research
Advanced Statistical Methods In Biometric Research Pdf
eResource
Instructor Resources
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