Results 41 to 50 of about 206,310 (335)

Triple-Endobutton and clavicular hook: A propensity score matching analysis

Open Medicine, 2021
We retrospectively analyzed the clinical data of 635 patients with acute acromioclavicular dislocation, who underwent surgery in our hospital between May 2014 and June 2020.
Zhang Sujie, Zhang Haojie, Wang Jiabo, Ma Xuehai, Gu Shaohua   +4 more
doaj   +1 more source

Greedy caliper propensity score matching can yield variable estimates of the treatment‐outcome association—A simulation study

Pharmacoepidemiology and Drug Safety, 2021
Greedy caliper propensity score (PS) matching is dependent on randomness, which can ultimately affect causal estimates. We sought to investigate the variation introduced by this randomness.
J. Komen, S. Belitser, R. Wyss, S. Schneeweiss, A. Taams, R. Pajouheshnia, T. Forslund, O. Klungel   +7 more
semanticscholar   +1 more source

Matching on the Estimated Propensity Score [PDF]

Econometrica, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alberto Abadie, Guido W. Imbens
openaire   +3 more sources

An evaluation of the US African Growth and Opportunity Act (AGOA) trade arrangement with Sub-Saharan African countries

PSL Quarterly Review, 2019
This paper evaluates the impact of the US African Growth and Opportunity Act (AGOA) trade arrangement on the growth of exports from Sub-Saharan African (SSA) countries.
Busani Moyo, Mamello Nchake, Blessing Chiripanhura   +2 more
doaj   +1 more source

Generalized Propensity Score Matching with Multilevel Treatment Options

Journal of Health Economics and Outcomes Research, 2013
# Background Although conventional form of propensity score matching (PSM) is widely used in outcomes research field, its application on multilevel treatment is limited. # Objectives This article reviews PSM and illustrates their use when there are more
Onur Baser
doaj   +1 more source

Propensity Score Matching in Randomized Clinical Trials [PDF]

Biometrics, 2009
Summary Cluster randomization trials with relatively few clusters have been widely used in recent years for evaluation of health‐care strategies. On average, randomized treatment assignment achieves balance in both known and unknown confounding factors between treatment groups, however, in practice investigators can only introduce a small amount of ...
Xu, Zhenzhen, Kalbfleisch, John D.
openaire   +3 more sources

The feasibility of pancreatic duct stenting using a novel 4-Fr plastic stent with a 0.025-in. guidewire

Scientific Reports, 2021
Pancreatic duct stenting is a well-established method for reducing post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis. However, there is no consensus on the optimal type of plastic stent.
Kazumasa Nagai, Atsushi Sofuni, Takayoshi Tsuchiya, Kentaro Ishii, Reina Tanaka, Ryosuke Tonozuka, Shuntaro Mukai, Kenjiro Yamamoto, Yukitoshi Matsunami, Yasutsugu Asai, Takashi Kurosawa, Hiroyuki Kojima, Hirohito Minami, Toshihiro Honma, Akio Katanuma, Takao Itoi   +15 more
doaj   +1 more source

ISOTONIC PROPENSITY SCORE MATCHING

Econometric Theory
We propose a one-to-many matching estimator of the average treatment effect based on propensity scores estimated by isotonic regression. This approach is predicated on the assumption of monotonicity in the propensity score function, a condition that can be justified in many economic applications.
Xu, Mengshan, Otsu, Taisuke
openaire   +3 more sources

Application and comparison of generalized propensity score matching versus pairwise propensity score matching

Journal of Comparative Effectiveness Research, 2018
Aim: A comparison of conventional pairwise propensity score matching (PSM) and generalized PSM method was applied to the comparative effectiveness of multiple treatment options for lung cancer. Materials & methods: Deidentified data were analyzed.
Zhanglin L, Cui, Lisa M, Hess, Robert, Goodloe, Doug, Faries   +3 more
openaire   +2 more sources

Variance estimation when using propensity‐score matching with replacement with survival or time‐to‐event outcomes

Statistics in Medicine, 2020
Propensity‐score matching is a popular analytic method to estimate the effects of treatments when using observational data. Matching on the propensity score typically requires a pool of potential controls that is larger than the number of treated or ...
P. Austin, G. Cafri
semanticscholar   +1 more source