Topic: ipw Goto Github
Some thing interesting about ipw
Some thing interesting about ipw
ipw,Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
User: ehsanx
Home Page: https://ehsanx.github.io/TMLEworkshop/
ipw,In the project, I use reweighing and RIF (recentered influence function) to tackle wage decomposition on quantile. It is written in R and the maths parts are written from scratch (no package uesd).
User: jieyi-chen-98
ipw,Tools for sensitivity analysis for weighted estimators
User: melodyyhuang
ipw,Repo for the paper "Inference for non-probability samples using the calibration approach for quantiles"
Organization: ncn-foreigners
ipw,Epidemiology analysis package
User: pzivich
Home Page: http://zepid.readthedocs.org
ipw,Trabalho AV2 3ΒΊ Trimestre 2IA 2022 Escola Estadual de Pato Branco
User: renatomattes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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A server is a program made to process requests and deliver data to clients.
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.