Biostatistics for clinical and public health research /
Goodman, Melody S.,
Biostatistics for clinical and public health research / Melody S. Goodman. - 1st ed. - 1 online resource (581 pages) : illustrations
Includes bibliographical references at the end of each chapters and index.
chapter 1 Descriptive statistics -- chapter 2 Probability -- chapter 3 Diagnostic testing/screening -- chapter 4 Discrete probability distributions -- chapter 5 Continuous probability distributions -- chapter Lab B: Probability distributions -- chapter 6 Estimation -- chapter 7 One-sample hypothesis testing -- chapter Lab C: One-sample hypothesis testing, power, and sample size -- chapter 8 Two-Sample Hypothesis Testing -- chapter 9 Nonparametric hypothesis testing -- chapter Lab D: Two-sample (parametric and nonparametric) hypothesis testing -- chapter 10 Hypothesis testing with categorical data -- chapter 11 Analysis of variance (ANOVA) -- chapter 12 Correlation -- chapter 13 Linear regression -- chapter 14 Logistic regression -- chapter 15 Survival analysis -- chapter Lab E: Data analysis project.
"This book provides a concise overview of statistical analysis methods for the clinical and public health practitioner. The book teaches statistical models without all the theory. Use of SAS software is illustrated in full, including how to interpret results. The book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in testing, data interpretation, and application; they will also learn when and how to consult a biostatistician."--Provided by publisher.
149878481X 1315155664 1351651714
10.4324/9781315155661 doi
Public health--Research--Statistical methods.
Biometry.
RA440.85 / .G663 2018
362.10727
Biostatistics for clinical and public health research / Melody S. Goodman. - 1st ed. - 1 online resource (581 pages) : illustrations
Includes bibliographical references at the end of each chapters and index.
chapter 1 Descriptive statistics -- chapter 2 Probability -- chapter 3 Diagnostic testing/screening -- chapter 4 Discrete probability distributions -- chapter 5 Continuous probability distributions -- chapter Lab B: Probability distributions -- chapter 6 Estimation -- chapter 7 One-sample hypothesis testing -- chapter Lab C: One-sample hypothesis testing, power, and sample size -- chapter 8 Two-Sample Hypothesis Testing -- chapter 9 Nonparametric hypothesis testing -- chapter Lab D: Two-sample (parametric and nonparametric) hypothesis testing -- chapter 10 Hypothesis testing with categorical data -- chapter 11 Analysis of variance (ANOVA) -- chapter 12 Correlation -- chapter 13 Linear regression -- chapter 14 Logistic regression -- chapter 15 Survival analysis -- chapter Lab E: Data analysis project.
"This book provides a concise overview of statistical analysis methods for the clinical and public health practitioner. The book teaches statistical models without all the theory. Use of SAS software is illustrated in full, including how to interpret results. The book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in testing, data interpretation, and application; they will also learn when and how to consult a biostatistician."--Provided by publisher.
149878481X 1315155664 1351651714
10.4324/9781315155661 doi
Public health--Research--Statistical methods.
Biometry.
RA440.85 / .G663 2018
362.10727