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目录
Session 1: Introduction to STATA
Notation Conventions used throughout the course
Starting STATA for Windows 1-2
Getting Help 1-4
The STATA Console 1-5
The Menu bar 1-6
The Toolbar 1-6
Creating a Log File 1-7
Practical Session 1a 1-10
Clearing the memory 1-21
Reading a Raw Data File 1-21
Adding Labels 1-24
Practical Session 1b 1-28
Session 2: Crosstabulation and Recode
Missing Data 2-2
Crosstabulation in STATA 2-5
Recoding 2-7
Another way to recode 2-12
Computing New Variables 2-14
Example 2-15
Selecting Cases 2-16
Sampling Cases 2-19
Split Analysis 2-20
Practical Session 2 2-24
Session 3: Graphics and Regression
Descriptive Statistics 3-2
Histograms 3-3
Box-plots 3-6
Bar Charts 3-7
Scatter Plots 3-11
Types of relationships and lines of best fit 3-13
Simple Linear Regression 3-18
Practical Session 3 3-19
Session 4: Linear Models in STATA and ANOVA
Strengths of Linear Relationships 4-2
A Note on Non-Linear Relationships 4-4
Multiple Linear Regression 4-5
Removal of Variables 4-8
Independent Samples t-test 4-10
f-test: Two Sample for Variances 4-12
Paired Samples t-test 4-13
One way ANOVA 4-15
Practical Session 4 4-17
Session 5: Model diagnostics in STATA 8
The dataset. Cherry tree data 5-3
Checking model formula 5-4
Other omitted variables 5-6
Distributional assumptions 5-8
Independence 5-9
Normality 5-10
Aberrant and influential points 5-11
Leverages 5-12
What do we do about leverages and outliers? 5-14
Box-Cox transformation 5-17
Session 6: Binary and Binomial Data
Binary Data 6-2
Binomial 6-2
Fitting models to binary data in STATA 6-4
Parameter interpretation – logistic regression 6-12
Two-way classification of a binary response 6-16
Fitting models to binomial data in STATA 6-18
Dealing with factors in STATA 6-18
Look at parameter estimates 6-22
Plotting 6-24
Session 7: Generalised Linear Models
Examples of GLMs in Medical Statistics 7-4
The GLM Algorithm 7-5
Specifications in STATA 7-8
Main Output from STATA 7-10
Example-Coronary Heart Disease Data 7-11
Session 8: Smoothing in statistical models
Smoothing in statistical models 8-3
Additive models 8-6
Additive models algorithm 8-7
Generalised Additive models 8-9
Generalised additive models algorithm 8-10
Fitting GAMs in STATA 8-11
Example 1 Cardiff Bronchitis study 8-12
Two approaches 8-17
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