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APS 2023 Annual Convention
Washington, DC | 25–28 May 2023

StataCorp will be an exhibitor at the APS 2023 Annual Convention. Attending from StataCorp: Meghan Cain, Senior Statistician, Communications. We're also hosting a workshop. For more information about the meeting, visit the APS 2023 Annual Convention page.

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Stata workshop

Title: Survival Analysis
Presenter: Meghan Cain, Senior Statistician, Communications, StataCorp
Date: Sunday, 28 May 2023
Time: 9:00–11:50 a.m. ET
Description: Learn how to effectively model time-to-event data with survival analysis. This workshop introduces the concepts of censoring, truncation, hazard rates, and survival functions. Describing data, plotting Kaplan–Meier curves, fitting Cox proportional hazards models, and more will be demonstrated in Stata. No previous knowledge is required beyond basic familiarity with regression.
Materials: Download here

Meghan Cain

Meghan Cain portrait

Meghan Cain is the Assistant Director, Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she oversees the development of statistical trainings and webinars, creates videos for the Stata YouTube channel, and reviews Stata Press books.

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PDF flyers

Browse the Stata flyers below.

Introduction to Stata



Stata overview
Letter   A4

Why Stata
Letter   A4

Stata 18 highlights
Letter   A4

Stata/MP
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Features



Bayesian analysis
Letter   A4

Bayesian model averaging
Letter   A4

Causal inference/Treatment effects
Letter   A4

Causal mediation analysis
Letter   A4

Choice models
Letter   A4

Clinical trials
Letter   A4

Customizable tables
Letter   A4

Data frames
Letter   A4

Difference in differences
Letter   A4

Extended regression models (ERMs)
Letter   A4

Finite mixture models (FMMs)
Letter   A4

Group sequential designs
Letter   A4

Interval-censored Cox model
Letter   A4

Item response theory (IRT)
Letter   A4

Lasso: Prediction and inference
Letter   A4

Latent class analysis (LCA)
Letter   A4

Maximum likelihood estimation
Letter   A4

Meta-analysis
Letter   A4

Multilevel mixed-effects models
Letter   A4

Multiple imputation
Letter   A4

Nonparametric regression
Letter   A4

Panel data
Letter   A4

Power, precision, and sample-size analysis
Letter   A4

PyStata
Letter   A4

Reproducible and automated reporting
Letter   A4

Reproducibility and backward compatibility
Letter   A4

Spatial autoregressivel (SAR) models
Letter   A4

Structural equation modeling (SEM)
Letter   A4

Survey data
Letter   A4

Survival analysis
Letter   A4

Time series
Letter   A4

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Resources



Programming with Stata
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Teaching with Stata
Letter   A4

Tech support
Letter   A4

Stata Press



Author Support Program
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Become a Stata Press® author
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Stata Journal



Publish in the Stata Journal
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The Stata Journal
Letter   A4

Visit stata-journals.com for more information.

Supplementary materials