Results 31 to 40 of about 1,001,591 (299)
Journal of Causal Inference, 2014 This paper describes a targeted maximum likelihood estimator (TMLE) for the parameters of longitudinal static and dynamic marginal structural models. We consider a longitudinal data structure consisting of baseline covariates, time-dependent intervention
Petersen Maya +5 more
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Time-modified Confounding [PDF]
, 2009 According to the authors, time-modified confounding occurs when the causal relation between a time-fixed or time-varying confounder and the treatment or outcome changes over time. A key difference between previously described time-varying confounding and
Platt, Robert W. +2 more
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DFW: a novel weighting scheme for covariate balancing and treatment effect estimation
Frontiers in Applied Mathematics and StatisticsEstimating causal effects from observational data is challenging due to selection bias, which leads to imbalanced covariate distributions across treatment groups.
Ahmad Saeed Khan +2 more
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Third Variable Effects in Management Studies
Problemy Zarządzania, 2016 The article’s aim is to explain the third variable effects in management studies –mediation, suppression, and confounding. Examples of these three types of the third variable effects are based on the European Social Survey (2012) data.
Anna Olga Kuźmińska
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A confounding bridge approach for double negative control inference on causal effects
Statistical Theory and Related FieldsUnmeasured confounding is a key challenge for causal inference. In this paper, we establish a framework for unmeasured confounding adjustment with negative control variables.
Wang Miao +3 more
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On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder
Journal of Causal Inference, 2020 Suppose that we are interested in the average causal effect of a binary treatment on an outcome when this relationship is confounded by a binary confounder. Suppose that the confounder is unobserved but a nondifferential proxy of it is observed.
Peña Jose M.
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Comorbidity and confounding factors in attention-deficit/hyperactivity disorder and sleep disorders in children [PDF]
, 2011 Ya-Wen Jan1,2, Chien-Ming Yang1,3, Yu-Shu Huang4,51Department of Psychology, National Cheng-Chi University, Taipei; 2Sleep Center of Taipei Medical University Hospital, Taipei; 3The Research Center for Mind Brain and Learning, National Cheng-Chi ...
Yu-Shu Huang +5 more
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Indian Journal of Psychiatry, 2007 Confounding is a statistical concept that is important to all researchers.The concept of confounding is explained with the help of an amusing but true example. Simple explanations about and examples of confounding are provided. Methods to deal with confounding are detailed and their applications and disadvantages are examined.Attention to confounding ...
openaire +2 more sources
Marginal and conditional confounding using logits [PDF]
, 2023 This article presents two ways of quantifying confounding using logistic response models for binary outcomes. Drawing on the distinction between marginal and conditional odds ratios in statistics, we define two corresponding measures of confounding ...
Anders Holm +5 more
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