A Short Introduction to Stata for Biostatistics
| Authors: |
Michael Hills and Bianca L. De Stavola |
| Publisher: |
Timberlake Consultants |
| Copyright: |
2009 |
| ISBN-10: |
0-9557076-4-1 |
| ISBN-13: |
978-0-9557076-4-3 |
| Pages: |
188; paperback |
| Price: |
$52.00 |
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| Supplements: |
datasets and programs |
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Comment from the Stata technical group
A Short Introduction to Stata for Biostatistics bridges the
information in the Getting Started manual and
the Reference manuals by providing a
more detailed introduction to the most often used analytic methods in
biomedical research. Although it is written specifically for
biostatisticians, epidemiologists, and health professionals new to Stata,
the book is useful for more experienced users wanting more in-depth
knowledge of both Stata commands and biostatistical issues. The book is
hands on, intended to be used while working with Stata, and includes a
CD-ROM containing the datasets and several author-written programs.
The first four chapters provide an overview of data entry and management
commands, including those used to create, label, and drop variables and to
sort observations. After two chapters on graphics, the bulk of the book
details methods used in data description and analysis. Beginning with
commands used to create frequency tables and summary statistics, the book
proceeds to describe commands used for univariate and multivariate analyses,
including linear regression, Poisson regression, logistic regression, and
survival data analysis. Included among the final chapters is a useful
tutorial for writing your own Stata programs.
New additions for Stata 11 include a section on competing-risks analysis,
new chapters on report generation and on meta analysis, and a description of
the factor-variable notation.
Table of contents
0 Getting started
1 Some basic commands
2 Tabs, menus and dialog boxes
3 Housekeeping
4 Data input and output
5 Graph commands
6 Graph dialog boxes
7 More basic tools
8 Data management
9 Repeated measurements
10 Response and explanatory variables
11 Measuring effects
12 Stratifying and controlling
13 Regression commands
14 Tests of hypotheses
15 Controlling and stratifying with regression
16 Mantel–Haenszel methods
17 Survival data and stset
18 Different time scales and standardization
19 Meta-analysis
20 Writing Stata programs
21 Exporting results
22 How Stata is organized
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