Results 31 to 40 of about 1,389,910 (274)
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.
doaj +1 more source
Learning Adjustment Sets from Observational and Limited Experimental Data
, 2020 Estimating causal effects from observational data is not always possible due to confounding. Identifying a set of appropriate covariates (adjustment set) and adjusting for their influence can remove confounding bias; however, such a set is typically not ...
Cooper, Gregory, Triantafillou, Sofia
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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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, 2012 Ergebnisse zur Dekubitusprävalenz sind wichtige Indikatoren für das Ausmaß der Erkrankung in unterschiedlichen Sektoren und Bereichen des deutschen Gesundheitswesens.
Lahmann, Nils Axel
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A note on a sensitivity analysis for unmeasured confounding, and the related E-value
Journal of Causal Inference, 2020 Unmeasured confounding is one of the most important threats to the validity of observational studies. In this paper we scrutinize a recently proposed sensitivity analysis for unmeasured confounding.
Sjölander Arvid
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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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Detecting confounding in multivariate linear models via spectral analysis
, 2017 We study a model where one target variable Y is correlated with a vector X:=(X_1,...,X_d) of predictor variables being potential causes of Y. We describe a method that infers to what extent the statistical dependences between X and Y are due to the ...
Janzing, Dominik, Schoelkopf, Bernhard
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel +3 more
wiley +1 more source