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An Introduction to Stata for Health Researchers

An Introduction to Stata for Health Researchers

An Introduction to Stata for Health Researchers Fifth Edition updates this classic book that has become a standard reference for health researchers. As with previous editions readers will learn to work effectively in Stata to perform data management compute descriptive statistics create meaningful graphs fit regression models and perform survival analysis. The fifth edition adds examples of performing power precision and sample-size analysis; working with Unicode characters; managing data with ICD-9 and ICD-10 codes; and creating customized tables. With many worked examples and downloadable datasets this text is the ideal resource for hands-on learning whether for students in a statistics course or for researchers in fields such as epidemiology biostatistics and public health who are learning to use Stata's tools for health research.

GBP 59.99
1

Health Econometrics Using Stata

Health Econometrics Using Stata

Health Econometrics Using Stata by Partha Deb Edward C. Norton and Willard G. Manning provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. Aimed at researchers graduate students and practitioners this book introduces readers to widely used methods shows them how to perform these methods in Stata and illustrates how to interpret the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey. After the overview chapters the book provides excellent introductions to a series of topics aimed specifically at those analyzing healthcare expenditure and use data. The basic topics of linear regression the generalized linear model and log and Box-Cox models are covered with a tight focus on the problems presented by these data. Using this foundation the authors cover the more advanced topics of models for continuous outcome with mass points count models and models for heterogeneous effects. Finally they discuss endogeneity and how to address inference questions using data from complex surveys. The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of health econometric myths and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect.

GBP 55.99
1

A Course in Item Response Theory and Modeling with Stata

A Course in Item Response Theory and Modeling with Stata

Over the past several decades item response theory (IRT) and item response modeling (IRM) have become increasingly popular in the behavioral educational social business marketing clinical and health sciences. In this book Raykov and Marcoulides begin with a nontraditional approach to IRT and IRM that is based on their connections to classical test theory (nonlinear) factor analysis generalized linear modeling and logistic regression. Application-oriented discussions follow next. These cover the one- two- and three-parameter logistic models polytomous item response models (with nominal or ordinal items) item and test information functions instrument construction and development hybrid models differential item functioning and an introduction to multidimensional IRT and IRM. The pertinent analytic and modeling capabilities of Stata are thoroughly discussed highlighted and illustrated on empirical examples from behavioral and social research. | A Course in Item Response Theory and Modeling with Stata

GBP 55.99
1