Melody S. Goodman

Biostatistics for Clinical and Public Health Research (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book provides a concise overview of statistical analysis methods for the clinical and public health practitioner. It teaches statistical models without all the theory. Use of SAS software is illustrated in full, including how to interpret results. Includes exercises, case studies, take-away points, and data sets.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 578
• Erscheinungstermin: 14. Dezember 2017
• Englisch
• ISBN-13: 9781498784818
• Artikelnr.: 50519592

Autorenporträt

Melody S. Goodman, is a biostatistician with experience in study design, developing survey instruments, data collection, data management, and data analysis for public health and clinical research projects. She has taught introductory biostatistics to masters of public health and medical students for over ten years at multiple institutions (Stony Brook University School of Medicine, Washington University in St. Louis School of Medicine, New York University - Global Public Health).

Inhaltsangabe

Descriptive Statistics. Introduction to SAS. Probability. Diagnostics.
Discrete Probability Distributions. Continuous Probability Distributions.
Probability Distributions. Estimation. One Sample Hypothesis Testing. Two
Sample Hypothesis Sample. Nonparametric Statistics. One Sample and Two
Sample Hypothesis Testing, Sample Size, and Nonparametric Methods.
Categorical Data Sets. ANOVA. Correlation. Linear Regression. Logistic
Regression. Survival Analysis. Data Analysis.

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Descriptive Statistics. Introduction to SAS. Probability. Diagnostics. Discrete Probability Distributions. Continuous Probability Distributions. Probability Distributions. Estimation. One Sample Hypothesis Testing. Two Sample Hypothesis Sample. Nonparametric Statistics. One Sample and Two Sample Hypothesis Testing, Sample Size, and Nonparametric Methods. Categorical Data Sets. ANOVA. Correlation. Linear Regression. Logistic Regression. Survival Analysis. Data Analysis.