Biostatistics in Public Health Using STATA

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**Basic Commands** Introduction

Entering STATA

Taskbar

Help

STATA Working Directories

Reading a Data File

Types of Files

Data Editor

Data Description

Mathematical and Logical Operators

do-file Editor

Descriptive Statistics and Graphs

Graph Construction

Box Plot

Histogram

Bar Chart

Significance Tests

Normality Test

Variance Homogeneity

Student's

Confidence Intervals for Testing the Null Hypothesis

Nonparametric Tests for Unpaired Groups

Sample Size and Statistical Power

Linear Regression Models

Model Assumptions

Parameter Estimation

Hypothesis Testing

Coefficient of Determination

Pearson Correlation Coefficient

Scatter Plot

Running the Model

Centering

Bootstrapping

Multiple Linear Regression Model

Partial Hypothesis

Prediction

Polynomial Linear Regression Model

Sample Size and Statistical Power

Considerations for the Assumptions of the Linear Regression Model

Analysis of Variance

Data Structure

Example for Fixed Effects

Linear Model with Fixed Effects

Analysis of Variance with Fixed Effects

Programming for ANOVA

Planned Comparisons (before Observing the Data)

Multiple Comparisons: Unplanned Comparisons

Random Effects

Other Measures Related to the Random Effects Model

Example of a Random Effects Model

Sample Size and Statistical Power

Cohort Study

Case-Control Study

Sample Size and Statistical Power

Parameter Estimation

Programming the Logistic Regression Model

Alternative Database

Estimating the Odds Ratio

Significance Tests

Extension of the Logistic Regression Model

Adjusted OR and the Confounding Effect

Effect Modification

Prevalence Ratio

Nominal and Ordinal Outcomes

Overdispersion

Sample Size and Statistical Power

Relative Risk

Parameter Estimation

Example

Programming the Poisson Regression Model

Assessing Interaction Terms

Overdispersion

Probability of Survival

Components of the Study Design

Kaplan-Meier Method

Programming of

Hazard Function

Relationship between

Cumulative Hazard Function

Median Survival Time and Percentiles

Comparison of Survival Curves

Proportional Hazards Assumption

Significance Assessment

Cox Proportional Hazards Model

Assessment of the Proportional Hazards Assumption

Survival Function Estimation Using the Cox Proportional Hazards Model

Stratified Cox Proportional Hazards Model

Mixed Models

Random Intercept

Using the

Using the

Mixed Models in a Sampling Design

do-files

Log Files

Delimiters

Indexing

Local Macros

Scalars

Loops (

Application of

Estimation

References

Index

Erick L. Suarez is a professor of biostatistics in the Department of Biostatistics and Epidemiology at the University of Puerto Rico Graduate School of Public Health. He has more than 25 years of experience teaching biostatistics at the graduate level and has co-authored more than 75 peer-reviewed publications in chronic and infectious diseases. Dr. Suarez has been a co-investigator of several NIH-funded grants related to cancer, HPV, HCV, and diabetes. He has extensive experience in statistical consulting with biomedical researchers, particularly in the analysis of microarrays data in breast cancer. Cynthia M. Perez is a professor of epidemiology in the Department of Biostatistics and Epidemiology at the University of Puerto Rico Graduate School of Public Health. She has taught epidemiology and biostatistics for over 20 years. She has also directed efforts in mentoring and training to public health and medical students at the University of Puerto Rico. She has been the principal investigator or co-investigator of research grants in diverse areas of public health including diabetes, metabolic syndrome, periodontal disease, viral hepatitis, and HPV infection. She is the author or co-author of more than 75 peer-reviewed publications. Graciela M. Nogueras is a statistical analyst at the University of Texas MD Anderson Cancer Center in Houston, Texas. She is currently enrolled in the PhD program in biostatistics at the University of Texas-Graduate School of Public Health. She has co-authored more than 30 peer-reviewed publications. For the past nine years, she has been performing statistical analyses for clinical and basic science researchers. She has been assisting with the design of clinical trials and animal research studies, performing sample size calculations, and writing the clinical trial reports of clinical trial progress and interim analyses of efficacy and safety data to the University of Texas MD Anderson Data and Safety Monitoring Board. Camille Moreno-Gorrin is a graduate of the Master of Science Program in Epidemiology at the University of Puerto Rico Graduate School of Public Health. During her graduate studies, she was a research assistant at the Comprehensive Cancer Center of the University of Puerto Rico where she co-authored several articles in biomedical journals. She also worked as a research coordinator for the HIV/AIDS Surveillance System of the Puerto Rico Department of Health, where she conducted research on intervention programs to link HIV patients to care.

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