Introductory biostatistics for the health sciences: modern applications including bootstrap
โ Scribed by Chernick, Michael R.;Friis, Robert H
- Publisher
- Wiley-Interscience
- Year
- 2010
- Tongue
- English
- Leaves
- 426
- Series
- Wiley Series in Probability and Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.: Emphasis on outliers is discussed by way of detection and treatment.; Resampling statistics software is incorporated throughout.; Motivating applications are presented in light of honest theory.; Plentiful exercises are sprinkled throughout.
โฆ Table of Contents
What is statistics? How is it applied to the health sciences? Defining populations and selecting samples. Systematic organization and display of data. Sampling distributions for means. Categorical data and chi-square tests. Correlation, linear regression, and logistic regression. One-way analysis of variance. Analysis of survival times. Software packages for statistical analysis.
โฆ Subjects
Biometry;Epidemiologic Methods;Medical statistics;Statistics as Topic
๐ SIMILAR VOLUMES
A textbook for an introductory course in statistical methods for undergraduate students in the health sciences who have had high school algebra but not necessarily calculus. A previous statistics course would be helpful but is not necessary.
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians. * Emphasis on outliers is discussed by way of detection and treatment. * Resampling statistics software is incorporated throughout. * Motivating applications are presented in light of honest th
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians. * Emphasis on outliers is discussed by way of detection and treatment. * Resampling statistics software is incorporated throughout. * Motivating applications are presented in light of honest th
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.Emphasis on outliers is discussed by way of detection and treatment.Resampling statistics software is incorporated throughout.Motivating applications are presented in light of honest theory.Plentiful exerci