Results 31 to 40 of about 20,519,205 (284)
Dynamic Local Average Treatment Effects
CoRRWe consider Dynamic Treatment Regimes (DTRs) with One Sided Noncompliance that arise in applications such as digital recommendations and adaptive medical trials. These are settings where decision makers encourage individuals to take treatments over time, but adapt encouragements based on previous encouragements, treatments, states, and outcomes ...
Ravi B. Sojitra, Vasilis Syrgkanis
openaire +3 more sources
Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
Journal of Causal Inference, 2014 The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument.
de Luna Xavier, Johansson Per
doaj +1 more source
Cogent Business & Management, 2022 Purpose This study assessed the effect of E-commerce on sales performance of agrochemical input dealers in the Greater Accra Region of Ghana.Design/methodology/approach The study utilized both primary and secondary data.
Benjamin Nyarko +3 more
doaj +1 more source
Estimating Conditional Average Treatment Effects with Missing Treatment Information
CoRR, 2022 Estimating conditional average treatment effects (CATE) is challenging, especially when treatment information is missing. Although this is a widespread problem in practice, CATE estimation with missing treatments has received little attention. In this paper, we analyze CATE estimation in the setting with missing treatments where unique challenges arise
Kuzmanovic, Milan +2 more
openaire +4 more sources
Pre-apprenticeship training for young people: Estimating the marginal and average treatment effects [PDF]
, 2021 This paper evaluates traineeships, a voluntary programme of work placement and preparation that aims to help young unemployed people in England compete for jobs and apprenticeships.
Stokes, L. +3 more
core +1 more source
Journal of Causal Inference, 2015 Failure (or success) in finding a statistically significant effect of a large-scale intervention may be due to choices made in the evaluation. To highlight the potential limitations and pitfalls of some common identification strategies used for ...
Weber Ann M. +2 more
doaj +1 more source
Treatment compliance and effectiveness of a cognitive behavioural intervention for low back pain : a complier average causal effect approach to the BeST data set [PDF]
, 2014 Background: Group cognitive behavioural intervention (CBI) is effective in reducing low-back pain and disability in comparison to advice in primary care.
Hansen, Zara +7 more
core +2 more sources
Algorithms, 2023 Acute myeloid leukemia (AML) is a type of blood cancer that affects both adults and children. Benzene exposure has been reported to increase the risk of developing AML in children.
Daniela Galatro +7 more
doaj +1 more source
Nonparametric tests of conditional treatment effects [PDF]
, 2009 We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Whang, Yoon-Jae +5 more
core +1 more source
Average treatment effect on the probability of food security.
, 2023 Average treatment effect on the probability of food security.
Mohammed Aman Ogeto (17015006) +2 more
core +1 more source