Main Takeaway: When we're dealing with data coming in groups, GEE extends the GLM likelihood analysis to incorporate a (within group) ... In this video we discuss the framing of GEE's using M-estimators and how this gives us useful asymptotic results!

Interview With Scott Zeger On Generalized Estimating Equations -

When we're dealing with data coming in groups, GEE extends the GLM likelihood analysis to incorporate a (within group) ... In this video we discuss the framing of GEE's using M-estimators and how this gives us useful asymptotic results! DaSL is the Data Science Lab at Johns Hopkins in the Department of Biostatistics hosted by Brian Caffo.

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  • When we're dealing with data coming in groups, GEE extends the GLM likelihood analysis to incorporate a (within group) ...
  • In this video we discuss the framing of GEE's using M-estimators and how this gives us useful asymptotic results!
  • DaSL is the Data Science Lab at Johns Hopkins in the Department of Biostatistics hosted by Brian Caffo.
  • This session will extend the material from the Mixed Models training on June 25 (available at to ...

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Interview with Scott Zeger on Generalized Estimating Equations

Interview with Scott Zeger on Generalized Estimating Equations

Read more details and related context about Interview with Scott Zeger on Generalized Estimating Equations.

Scott Zeger

Scott Zeger

Read more details and related context about Scott Zeger.

DaSL Cast Episode 1 Scott Zeger

DaSL Cast Episode 1 Scott Zeger

DaSL is the Data Science Lab at Johns Hopkins in the Department of Biostatistics hosted by Brian Caffo. DaSL Cast is happy to ...

Generalized Estimating Equations (GEE)

Generalized Estimating Equations (GEE)

Read more details and related context about Generalized Estimating Equations (GEE).

Faculty Spotlight: Scott Zeger

Faculty Spotlight: Scott Zeger

Read more details and related context about Faculty Spotlight: Scott Zeger.

014. Generalized Estimating Equations: Details of Asymptotic Inference

014. Generalized Estimating Equations: Details of Asymptotic Inference

In this video we discuss the framing of GEE's using M-estimators and how this gives us useful asymptotic results! Video Timeline: ...

012. Generalized Estimating Equations: Estimating parameters from Marginal Models

012. Generalized Estimating Equations: Estimating parameters from Marginal Models

Read more details and related context about 012. Generalized Estimating Equations: Estimating parameters from Marginal Models.

Generalized Estimating Equations (GEEs)

Generalized Estimating Equations (GEEs)

Read more details and related context about Generalized Estimating Equations (GEEs).

Generalized Estimating Equations (GEE)

Generalized Estimating Equations (GEE)

This session will extend the material from the Mixed Models training on June 25 (available at to ...

GLM - 13 - GEE (Generalized Estimating Equations)

GLM - 13 - GEE (Generalized Estimating Equations)

When we're dealing with data coming in groups, GEE extends the GLM likelihood analysis to incorporate a (within group) ...