STATA
- Session 1: Introduction to STATA
- Notation Conventions used throughout the course
- Starting STATA for Windows
- Getting Help
- The STATA Console
- The Menu bar
- The Toolbar
- Creating a Log File
- Practical Session 1a
- Clearing the memory
- Reading a Raw Data File
- Adding Labels
- Practical Session 1b
- Session 1: Demonstrations
- Notation Conventions used throughout the course
- Session 2: Crosstabulation and Recode
- Missing Data
- Crosstabulation in STATA
- Recoding
- Another way to recode
- Computing New Variables
- Example
- Selecting Cases
- Sampling Cases
- Split Analysis
- Practical Session 2
- Session 2: Demonstrations
- Missing Data
- Session 3: Graphics and Regression
- Descriptive Statistics
- Histograms
- Box-plots
- Bar Charts
- Scatter Plots
- Types of relationships and lines of best fit
- Simple Linear Regression
- Practical Session 3
- Session 3: Demonstrations
- Descriptive Statistics
- Session 4: Linear Models in STATA and ANOVA
- Strengths of Linear Relationships
- A Note on Non-Linear Relationships
- Multiple Linear Regression
- Removal of Variables
- Independent Samples t-test
- f-test: Two Sample for Variances
- Paired Samples t-test
- One way ANOVA
- Practical Session 4
- Session 4: Demonstrations
- Strengths of Linear Relationships
- Session 5: Model diagnostics in STATA
- The dataset. Cherry tree data
- Checking model formula
- Other omitted variables
- Distributional assumptions
- Independence
- Normality
- Aberrant and influential points
- Leverages
- What do we do about leverages and outliers?
- Box-Cox transformation
- Session 5: Demonstrations
- dofile
- The dataset. Cherry tree data
- Session 6: Binary and Binomial Data
- Binary Data
- Binomial
- Fitting models to binary data in STATA
- Parameter interpretation -- logistic regression
- Two-way classification of a binary response
- Fitting models to binomial data in STATA
- Dealing with factors in STATA
- Look at parameter estimates
- Plotting
- Binary Data
- Session 7: Generalised Linear Models
- Examples of GLMs in Medical Statistics
- The GLM Algorithm
- Specifications in STATA
- Main Output from STATA
- Example-Coronary Heart Disease Data
- Examples of GLMs in Medical Statistics
- Session 8: Smoothing in Statistical Models
- Smoothing in statistical models
- Additive models
- Additive models algorithm
- Generalised Additive models
- Generalised additive models algorithm
- Fitting GAMs in STATA
- Example 1 Cardiff Bronchitis study
- Two approaches
- Smoothing in statistical models
- British Social Attitude Code Book
- List of all variables used
- Data files
STATA Format | Excel Format (Comma Delimited) | Text Format (Tab Delimited) |
---|---|---|
bsas91.dta | bsas91.csv | bsas91.dat |
cars.dta | cars.txt | |
distance.dta | ||
example.dta | example.dat | |
example2.dat | ||
fabric.dct | ||
gss91t.dta | gss91t.csv | |
kullback.dct | ||
log1.smcl | ||
log2.smcl | ||
nonlinear.csv | ||
rainfall.dct | ||
sample.dta | sample.dat | |
sceli.dta | sceli.csv | |
statlaba.dta | ||
tree.dta | ||
vaso.dta | ||
waged.dta |
晕倒,还要检查代码啊~也可以直接访问:
http://www.cas.lancs.ac.uk/short_courses/intro_stata.html
打包下载见附件,需要说明的是那个do-file我没法下载,只缺少这一个文件
[此贴子已经被作者于2007-9-22 8:54:13编辑过]