Buku Stata Press
Supplement your Stata with the range of practical and wide ranging texts.
A Course in Item Response Theory and Modeling with Stata
A comprehensive introduction to the concepts of item response theory. Examples demonstrate fitting many kinds of IRT models, including one-, two-, and three-parameter logistic models for binary items as well as nominal, ordinal, and hybrid models for polytomous items.
Meta-Analysis in Stata: An Updated Collection from the Stata Journal, 2nd Edition
Meta-analysis allows researchers to combine results of several studies into a unified analysis that provides an overall estimate of the effect of interest and to quantify the uncertainty of that estimate. Stata has some of the best statistical tools available for doing meta-analysis.
Bayesian Analysis with Stata
Bayesian Analysis with Stata is a compendium of Stata community-contributed commands for Bayesian analysis. It contains just enough theoretical and foundational material to be useful to all levels of users interested in Bayesian statistics, from neophytes to aficionados.
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model
This book aims to obtain a compromise between the Cox and parametric models where the compromise retains the desired features of both types of models. It is aimed at researchers familiar with the basic concepts of survival analysis and with the stcox and streg commands in Stata.
Health Econometrics Using Stata
An excellent overview of the methods used to analyse data on healthcare expenditure and use. It introduces readers to widely used methods, the approach in Stata, and illustrates interpretation of the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey.
Financial Econometrics Using Stata
An excellent introduction to time-series analysis for financial economists. It provides examples on fitting and interpreting many different univariate and multivariate GARCH models, and introduces estimating and interpreting risk-management parameters. It also introduces tests for contagion.
Multilevel and Longitudinal Modelling Using Stata
Looks specifically at Stata’s treatment of generalised linear mixed models. These are “mixed” models because they allow fixed and random effects; and “generalised” because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.