2012 Italian Stata Users Group meeting: Abstracts
Handling missing data in Stata—a whirlwind tour
Missing data is a pervasive issue in epidemiological, clinical, social, and economic studies. This presentation offers a brief overview of the conceptual issues raised by missing data, followed by an overview of some of the principled statistical methods of handling missing data that are implemented in Stata 12, including multiple imputation and inverse probability weighting.
Materials:
it12_bartlett.pdf
Advanced Stata Dialog Programming with VISUA
Abstract not available.
Materials:
it12_lo_magno.pdf
visua_0_1_beta_windows_setup_and_sources.zip
contreatreg: A Stata module for estimating dose response treatment models under (continuous) treatment endogeneity and heterogeneous response to observable confounders
Abstract not available.
Materials:
it12_cerulli.pdf
Spatial Data Analysis in Stata: An Overview
Abstract not available.
Materials:
it12_pisati.pdf
gformula: Estimating causal effects in the presence of time-varying confounding or mediation
Abstract not available.
Materials:
it12_daniel_de_stavolo_cousens.pdf
Maternal characteristics, childhood growth, and eating disorders: a study of mediation using gformula
Abstract not available.
Materials:
it12_de_stavolo_daniel.pdf
Working in the margins to plot a clear course
Visualizing the true effect of a predictor over a range of values can be difficult for models that are not parameterized in their natural metric, such as logistic or (even more so) probit models. Interaction terms in such models cause even more fogginess. This illustrates how both the margins and the marginsplot commands can make for much clearer explanations of effects for both nonstatisticians and statisticians alike.
Materials:
it12_rising.pdf
