Results 11 to 20 of about 130,821 (302)
Introduction to propensity scores [PDF]
Respirology, 2014 AbstractAlthough randomization provides a gold‐standard method of assessing causal relationships, it is not always possible to randomly allocate exposures. Where exposures are not randomized, estimating exposure effects is complicated by confounding. The traditional approach to dealing with confounding is to adjust for measured confounding variables ...
Elizabeth J, Williamson, Andrew, Forbes
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Propensity Scores: A Practical Introduction Using R
Journal of MultiDisciplinary Evaluation, 2015 Background: This paper provides an introduction to propensity scores for evaluation practitioners. Purpose: The purpose of this paper is to provide the reader with a conceptual and practical introduction to propensity scores, matching using propensity ...
Antonio Olmos, Priyalatha Govindasamy
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BMC Medical Research Methodology, 2022 Background When performed in an observational setting, treatment effect modification analyses should account for all confounding, where possible. Often, such studies only consider confounding between the exposure and outcome.
Antonia Mary Marsden +3 more
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Evaluating Uses of Deep Learning Methods for Causal Inference
IEEE Access, 2022 Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. We examine the use of deep learning models such as the deep neural network (DNN), PropensityNet (PN), convolutional ...
Albert Whata, Charles Chimedza
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Instability of estimation results based on caliper matching with propensity scores [PDF]
PLoS ONEKazushi Maruo +3 more
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Contrast-specific propensity scores [PDF]
Biostatistics & Epidemiology, 2021 Basic propensity score methodology is designed to balance the distributions of multivariate pre-treatment covariates when comparing one active treatment with one control treatment. However, practical settings often involve comparing more than two treatments, where more complicated contrasts than the basic treatment-control one, (1,−1), are relevant ...
Shasha Han, Donald. B. Rubin
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BMC Medical Research Methodology, 2016 Background Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear.
Jason R. Guertin +3 more
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Propensity Score Matching in Non-Interventional Studies: A Step-by-Step Guide for Clinicians and Researchers [PDF]
Iranian Journal of Medical SciencesSelection bias occurs when a study’s sample is not representative of the entire population, which can lead to incorrect conclusions.
Saeedeh Pourahmad, Farzan Madadizadeh
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Evaluating effectiveness of payments for forest ecosystem services by propensity scores analysis [PDF]
Ekonomika Poljoprivrede (1979), 2020 The Vietnamese Government have been implementing the Payment for Forest Ecosystem Service (PFES) since 2008 with the aim of both improving natural forest status and enhancing income for mountainous community.
Nguyen Huynh Tan, Hung Nguyen Hoang
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Bone & Joint Open, 2023 Aims: Using data from the Hip Fracture Evaluation with Alternatives of Total Hip Arthroplasty versus Hemiarthroplasty (HEALTH) trial, we sought to determine if a difference in functional outcomes exists between monopolar and bipolar hemiarthroplasty (HA).
Marianne Comeau-Gauthier +8 more
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