Subgroup causal effect identification and estimation via matching tree

Zhang, Yuyang; Schnell, Patrick; Song, Chi; Huang, Bin; Lü, Bo

doi:10.1016/j.csda.2021.107188

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…where ( ) , 0 i r t X > . The overlap assumption was taken into consideration with condition independences to form strong Ignorability (Zhang et al, 2021), which is complete overlap in the distribution of covariance between the treatment levels (Linden et al, 2016). Established from the notation assumption, there are approaches to estimating treatment effects in multivalued.…”

Section: Analytical Frameworkmentioning

confidence: 99%

Effects of Production and Market Innovations on the Level of Competitiveness of Sorghum Small Scale Agrienterprises

Judith¹,

Gathungu²,

Ayuya³

et al. 2021

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Agricultural innovations are keys to economic growth, income stability as well as nutritional enhancement particularly in marginal areas since they are well-adapted to poor or unpredictable agro-ecological conditions. Innovation is a critical player that is seen to bring competitiveness, increase productivity and efficiency to agrienterprises. Despite that, there is limited empirical evidence on whether the uptake of the innovations has on sorghum competitiveness in small scale farm level agriprenuers in most ASALs of Eastern Kenya. This study examines the effect of production and market innovation on the competitiveness of sorghum agriprenuers, using primary data collected in 2019 from a total of 384 randomly selected small scale agrienterprises. A multivalued treatment effect model was applied to determine the role of innovation on the competitiveness of sorghum enterprises. Farm productivity and gross margin analysis were used to measure the competitiveness of the agrientreprises. The results indicated that gross margin and farm productivity of sorghum agrienterprises increase with an increase in the number of innovations used. These innovations include the uses of improved sorghum seeds, conservation agriculture, and group marketing. But also, there was a decrease in both gross margin and productivity for the agrienterprises with the highest number of innovations in the farm at saturation level. The results implied that the kind and the number of innovations employed in agrienterprises development are critical in its profitability and productivity. Therefore, interventions targeting usage of innovations in sorghum agrienterprises should be sensitized to integrate different innovations on product, process, and market in enhancing competitiveness.

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Section: Analytical Frameworkmentioning

confidence: 99%

Effects of Production and Market Innovations on the Level of Competitiveness of Sorghum Small Scale Agrienterprises

Judith¹,

Gathungu²,

Ayuya³

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The most widely applied PSM methods are nearest neighbour matching, radius matching, and inverse probability weighting [10][11][12]. The application of PSM has been the subject of numerous research, for example, its application was studied for subgroup analysis [13] and also for handling missing data [14].…”

Section: Related Workmentioning

confidence: 99%

Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection

Szekér

Vathy-Fogarassy

2021

Algorithms

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An essential criterion for the proper implementation of case-control studies is selecting appropriate case and control groups. In this article, a new simulated annealing-based control group selection method is proposed, which solves the problem of selecting individuals in the control group as a distance optimization task. The proposed algorithm pairs the individuals in the n-dimensional feature space by minimizing the weighted distances between them. The weights of the dimensions are based on the odds ratios calculated from the logistic regression model fitted on the variables describing the probability of membership of the treated group. For finding the optimal pairing of the individuals, simulated annealing is utilized. The effectiveness of the newly proposed Weighted Nearest Neighbours Control Group Selection with Simulated Annealing (WNNSA) algorithm is presented by two Monte Carlo studies. Results show that the WNNSA method can outperform the widely applied greedy propensity score matching method in feature spaces where only a few covariates characterize individuals and the covariates can only take a few values.

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Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data

Lipkovich,

Svensson,

Ratitch

et al. 2024

Statistics in Medicine

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In this paper, we review recent advances in statistical methods for the evaluation of the heterogeneity of treatment effects (HTE), including subgroup identification and estimation of individualized treatment regimens, from randomized clinical trials and observational studies. We identify several types of approaches using the features introduced in Lipkovich et al (Stat Med 2017;36: 136‐196) that distinguish the recommended principled methods from basic methods for HTE evaluation that typically rely on rules of thumb and general guidelines (the methods are often referred to as common practices). We discuss the advantages and disadvantages of various principled methods as well as common measures for evaluating their performance. We use simulated data and a case study based on a historical clinical trial to illustrate several new approaches to HTE evaluation.

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Subgroup causal effect identification and estimation via matching tree

Cited by 5 publications

References 25 publications

Effects of Production and Market Innovations on the Level of Competitiveness of Sorghum Small Scale Agrienterprises

Effects of Production and Market Innovations on the Level of Competitiveness of Sorghum Small Scale Agrienterprises

Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection

Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data

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