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Targeted Data Adaptive Estimation of the Causal Dose–Response Curve

Díaz, Iván; van der Laan, Mark J. - In: Journal of Causal Inference 1 (2013) 2, pp. 171-192

minimum loss–based estimator (CV-TMLE) counterpart. These estimators are proven consistent and efficient under certain … estimators of the treatment and outcome mechanisms. Because the CV-TMLE is a substitution estimator, it is more robust than the … the CV-TMLE and the CV-A-IPTW are explored in a simulation study. …

Persistent link: https://www.econbiz.de/10014610786

Balancing Score Adjusted Targeted Minimum Loss-based Estimation

Lendle, Samuel David; Fireman, Bruce; van der Laan, Mark J. - In: Journal of Causal Inference 3 (2015) 2, pp. 139-155

property, and discuss a class of estimators that have this property. We introduce a targeted minimum loss-based estimator (TMLE …. We investigate the new estimator’s performance relative to other estimators, including another TMLE, a propensity score …

Persistent link: https://www.econbiz.de/10014610792

Predicting Is Not Explaining: Targeted Learning of the Dative Alternation

Chambaz, Antoine; Desagulier, Guillaume - In: Journal of Causal Inference 4 (2016) 1, pp. 1-30

estimation (TMLE). Through causal analysis, we operationalize the set of scientific questions that we wish to address regarding … the dative alternation. Drawing on the philosophy of TMLE, we answer these questions by targeting some versatile machine …

Persistent link: https://www.econbiz.de/10014610820

A Causal Inference Approach to Network Meta-Analysis

Schnitzer, Mireille E; Steele, Russell J; Bally, Michèle; … - In: Journal of Causal Inference 4 (2016) 2

Abstract: While standard meta-analysis pools the results from randomized trials that compare two treatments, network meta-analysis aggregates the results of randomized trials comparing a wider variety of treatment options. However, it is unclear whether the aggregation of effect estimates across...

Persistent link: https://www.econbiz.de/10014610848

A fundamental measure of treatment effect heterogeneity

Levy, Jonathan; van der Laan, Mark; Hubbard, Alan; … - In: Journal of Causal Inference 9 (2021) 1, pp. 83-108

values. We offer a non-parametric plug-in estimator, the targeted maximum likelihood estimator (TMLE) and the cross …-validated TMLE (CV-TMLE), to simultaneously estimate both the average and variance of the stratum-specific treatment effect function …. The CV-TMLE is preferable because it guarantees asymptotic efficiency under two conditions without needing entropy …

Persistent link: https://www.econbiz.de/10014610883

The causal effect of family physician program on the prevalence, screening, awareness, treatment, and control of hypertension and diabetes mellitus in an Eastern Mediterranean Regi...

Mohammadi, Neda; Alizadeh, Ahad; Moghaddam, Sahar Saeedi; … - In: BMC Public Health 23 (2023) 1, pp. --

Hypertension (HTN) and diabetes mellitus (DM) as part of non-communicable diseases are among the most common causes of death worldwide, especially in the WHO’s Eastern Mediterranean Region (EMR). The family physician program (FPP) proposed by WHO is a health strategy to provide primary health...

Persistent link: https://www.econbiz.de/10014315223

Tests in a Case-Control Design Including Relatives

Biedermann, Stefanie; Nagel, Eva-Renate; Munk, Axel; … - 2006

We present a new approach to handle dependencies within the general framework of case-control designs, illustrating our approach by a particular application from the field of genetic epidemiology. The method is derived for parent-offspring trios, which will later be relaxed to more general...

Persistent link: https://www.econbiz.de/10010296719

Jensen's inequality for the Tukey median

Kwiecien, Robert; Gather, Ursula - 2007

Persistent link: https://www.econbiz.de/10010298191

Efficient Estimation of an Additive Quantile Regression

Cheng, Yebin; Gooijer, Jan G. De; Zerom, Dawit - 2009

In this paper two kernel-based nonparametric estimators are proposed for estimating the components of an additive quantile regression model. The first estimator is a computationally convenient approach which can be viewed as a viable alternative to the method of De Gooijer and Zerom (2003). By...

Persistent link: https://www.econbiz.de/10010325913

Exact and robust conformal inference methods for predictive machine learning with dependent data

Chernozhukov, Victor; Wüthrich, Kaspar; Zhu, Yinchu - 2018

Persistent link: https://www.econbiz.de/10011941448

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