mattyjsmith Goto Github PK
Name: Matthew J. Smith
Type: User
Company: London School of Hygiene and Tropical Medicine
Bio: Postdoctoral Research Fellow in Biostatistics
Twitter: mjtsmith
Location: London
Name: Matthew J. Smith
Type: User
Company: London School of Hygiene and Tropical Medicine
Bio: Postdoctoral Research Fellow in Biostatistics
Twitter: mjtsmith
Location: London
Using information from the relative survival setting to estimate causal effects of an exposure on an outcome when the cause of death is unknown.
Code to simulate the data generating mechanisms for CVTMLE paper.
Code to simulate the data for the ELTMLE paper
R code to compare multiple imputation approaches for a logistic regression model where the interaction includes a partially observed binary variable
Stata code used for the Manuscript on "Mediating effects of diagnostic route on the comorbidity gap in survival of patients with Diffuse Large B-cell or Follicular lymphoma in England"
Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
Current version of the SuperLearner R package
Tutorial_Computational_Causal_Inference_Estimators
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.