Now Australia's Biggest Toy Shop

Sell Your Old Stuff for Cash. It's Easy & Free to List. Get Started Now.

Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies. The book shares the authors' insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA. Each chapter is based on one or more research problems linked to public health. Additionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. Presenting high-level statistics in an accessible manner across research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the statistical applications in public health. For readers new to STATA, the first three chapters should be read sequentially, as they form the basis of an introductory course to this software.
Product Details

Table of Contents

Basic Commands Introduction Entering STATA Taskbar Help STATA Working Directories Reading a Data File insheet Procedure Types of Files Data Editor Data Description Most Useful Commands list Command Mathematical and Logical Operators generate Command recode Command drop Command replace Command label Command summarize Command do-file Editor Descriptive Statistics and Graphs tabulate Command Graph Construction Introduction Box Plot Histogram Bar Chart Significance Tests Introduction Normality Test Variance Homogeneity Student's t-Test for Independent Samples Confidence Intervals for Testing the Null Hypothesis Nonparametric Tests for Unpaired Groups Sample Size and Statistical Power Linear Regression Models Introduction 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 Introduction 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 Categorical Data Analysis Introduction Cohort Study Case-Control Study Sample Size and Statistical Power Logistic Regression Model Model Definition 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 Poisson Regression Model Model Definition Relative Risk Parameter Estimation Example Programming the Poisson Regression Model Assessing Interaction Terms Overdispersion Survival Analysis Introduction Probability of Survival Components of the Study Design Kaplan-Meier Method Programming of S(t) Hazard Function Relationship between S(t) and h(t) 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 Analysis of Correlated Data Regression Models with Correlated Data Mixed Models Random Intercept Using the mixed and gllamm Commands with a Random Intercept Using the mixed Command with Random Intercept and Slope Mixed Models in a Sampling Design Introduction to Advanced Programming in STATA Introduction do-files program Command Log Files trace Command Delimiters Indexing Local Macros Scalars Loops (foreach and forvalues) Application of matrix and local Commands for Prevalence Estimation References Index

About the Author

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.

Look for similar items by category
Home » Books » Science » Mathematics » Statistics » General
Home » Books » Science » Medicine » Research
How Fishpond Works
Fishpond works with suppliers all over the world to bring you a huge selection of products, really great prices, and delivery included on over 25 million products that we sell. We do our best every day to make Fishpond an awesome place for customers to shop and get what they want — all at the best prices online.
Webmasters, Bloggers & Website Owners
You can earn a 5% commission by selling Biostatistics in Public Health Using Stata on your website. It's easy to get started - we will give you example code. After you're set-up, your website can earn you money while you work, play or even sleep! You should start right now!
Authors / Publishers
Are you the Author or Publisher of a book? Or the manufacturer of one of the millions of products that we sell. You can improve sales and grow your revenue by submitting additional information on this title. The better the information we have about a product, the more we will sell!
Item ships from and is sold by, Inc.
Back to top