Results 111 to 120 of about 20,519,205 (284)

The Ecological ICMS as Inducer in the Creation of Protected Areas in Brazil: An Assessment of Policy in the States of Pernambuco, Paraná and Bahia

Desenvolvimento em Questão, 2019
The main objective of this paper is to evaluate the effectiveness of the ecological ICMS to induce the creation of conservation units in Brazil, by analyzing the results of this policy in the municipalities of the Brazilian states of Paraná, Pernambuco ...
Luiz Honorato da Silva Júnior, Beatriz Mesquita Jardim Pedrosa, Liedje Bettizaide Oliveira de Siqueira, Monaliza de Oliveira Ferreira   +3 more
doaj   +1 more source

Estimating Average Treatment Effects With Support Vector Machines

Statistics in Medicine
ABSTRACT Support vector machine (SVM) is one of the most popular classification algorithms in the machine learning literature. We demonstrate that SVM can be used to balance covariates and estimate average causal effects under the unconfoundedness assumption.
Alexander Tarr, Kosuke Imai
openaire   +3 more sources

Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study [PDF]

Propensity score matching is a widely-used method to measure the effect of a treatment in social as well as health sciences. An important issue in propensity score matching is how to select conditioning variables in estimation of the propensity score. It
Nguyen Viet, Cuong
core  

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Effect of DFPP on Ferroptosis in Peripheral Blood CD14+ Monocytes of Hyperlipidemic Patients Involving the ACSL4/LPCAT3/ALOX5 Pathway

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng, Lan Li, Qingmei Yang, Meipeng Wu   +3 more
wiley   +1 more source

Generalized coarsened confounding for causal effects: a large-sample framework

Journal of Causal Inference
There has been widespread use of causal inference methods for the rigorous analysis of observational studies and to identify policy evaluations. In this article, we consider a class of generalized coarsened procedures for confounding.
Ghosh Debashis, Wang Lei
doaj   +1 more source

Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages [PDF]

We assess the effectiveness of Job Corps (JC), the largest job training program targeting disadvantaged youth in the United States, by constructing nonparametric bounds for the average and quantile treatment effects of the program on wages. Our preferred
Blanco, German, Flores, Carlos A., Flores-Lagunes, Alfonso   +2 more
core  

The Impact of Tenapanor on Body Composition and Blood Pressure in Peritoneal Dialysis Patients: A Pilot Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Instruction Tenapanor potentially affects fluid volume and blood pressure. This study explored its effects on these parameters in patients undergoing peritoneal dialysis (PD). Methods We conducted a single‐arm, prospective observational study that enrolled 10 patients on PD with hyperphosphatemia who were newly initiated on tenapanor.
Shun Yoshida, Kengo Asahina, Keiichi Osano, Natsumi Saegusa, Kohei Yamamura, Kie Ohkoshi, Miho Shikata, Toshihisa Ishii, Makiko Konishi, Kazuya Takahashi, Kohei Uchimura, Ayumu Nakashima   +11 more
wiley   +1 more source

MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates

Entropy
Data-driven decision-making has become crucial across various domains. Randomization and re-randomization are standard techniques employed in controlled experiments to estimate causal effects in the presence of numerous pre-treatment covariates.
Shaohua Xu, Songnan Liu, Yongdao Zhou
doaj   +1 more source

mhbounds - Sensitivity Analysis for Average Treatment Effects [PDF]

Matching has become a popular approach to estimate average treatment effects. It is based on the conditional independence or unconfoundedness assumption.
Sascha O. Becker, Marco Caliendo
core