Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding
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DOI: 10.1002/sim.70272
Abstract: Observational epidemiological studies commonly seek to estimate the causal effect of an exposure on an outcome. Adjustment for potential confounding bias in modern studies is challenging due to the presence of high‐dimensional confounding, which occurs… read more here.
Keywords: cross fitting; confounding; high dimensional; settings high ... See more keywords
Adjusting for Unmeasured Confounding Variables in Dynamic Networks
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DOI: 10.1109/lcsys.2022.3233701
Abstract: This letter presents a technique to identify a certain transfer function in a dynamic network when the input and the output of the transfer function are influenced by an unmeasured confounding variable. It is assumed… read more here.
Keywords: confounding; confounding variables; unmeasured confounding; transfer function ... See more keywords
Revisiting Cognitive Deficits in Outpatients with Psychotic Disorders: A Transdiagnostic Comparison of Cognitive Performance While Accounting for Putative Confounding Factors
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DOI: 10.3390/brainsci14050446
Abstract: Recent research suggests that cognitive deficits in individuals with psychotic disorders could be overestimated because poor cognitive test performance is partly attributable to non-cognitive factors. To further test this, we included non-hospitalized individuals with psychotic… read more here.
Keywords: confounding; psychotic disorders; cognitive factors; performance ... See more keywords