targeted-package: targeted: Targeted Inference

In targeted: Targeted Inference

targeted: Targeted Inference

Description

Various methods for targeted and semiparametric inference including augmented inverse probability weighted (AIPW) estimators for missing data and causal inference (Bang and Robins (2005) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1541-0420.2005.00377.x")}), variable importance and conditional average treatment effects (CATE) (van der Laan (2006) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2202/1557-4679.1008")}), estimators for risk differences and relative risks (Richardson et al. (2017) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2016.1192546")}), assumption lean inference for generalized linear model parameters (Vansteelandt et al. (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/rssb.12504")}).

Methods for targeted and semiparametric inference.

Author(s)

Maintainer: Klaus K. Holst [e-mail]

Authors:

• Andreas Nordland [e-mail]

Klaus K. Holst (Maintainer) [e-mail]

See Also

Useful links:

• Report bugs at https://github.com/kkholst/targeted/issues

Examples

## Not run: 
example(riskreg)
example(cate)
example(ate)
example(calibration)

## End(Not run)

targeted documentation built on May 29, 2024, 2:08 a.m.