Results 1 to 10 of about 24,926 (214)

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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Statins and Mortality in COPD: A Methodological Review of Observational Studies

COPD, 2023
Randomized controlled trials and observational studies have reported conflicting results on the potential beneficial effects of statins on mortality in patients with chronic obstructive pulmonary disease (COPD).
Naheemot Olaoluwa Sule, Samy Suissa
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Associations of employment sector and occupational exposures with full and part-time sickness absence: random and fixed effects analyses on panel data

Scandinavian Journal of Work, Environment & Health, 2022
OBJECTIVE: We aimed to investigate the influence of unobserved individual characteristics in explaining the effects of work-related factors on full (fSA) and part-time sickness absence (pSA). METHODS: We used register-based panel data for the period 2005–
Elli Hartikainen, Svetlana Solovieva, Eira Viikari-Juntura, Taina Leinonen   +3 more
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Simple yet sharp sensitivity analysis for unmeasured confounding

Journal of Causal Inference, 2022
We present a method for assessing the sensitivity of the true causal effect to unmeasured confounding. The method requires the analyst to set two intuitive parameters. Otherwise, the method is assumption free. The method returns an interval that contains
Peña Jose M.
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Recovery and inference of causal effects with sequential adjustment for confounding and attrition

Journal of Causal Inference
Confounding bias and selection bias bring two significant challenges to the validity of conclusions drawn from applied causal inference. The latter can stem from informative missingness, such as in cases of attrition.
de Aguas Johan, Pensar Johan, Varnet Pérez Tomás, Biele Guido   +3 more
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The Entry of Randomized Assignment into the Social Sciences

Journal of Causal Inference, 2019
Although the concept of randomized assignment in order to control for extraneous confounding factors reaches back hundreds of years, the first empirical use appears to have been in an 1835 trial of homeopathic medicine.
Jamison Julian C.
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Information Theoretic Causal Effect Quantification

Entropy, 2019
Modelling causal relationships has become popular across various disciplines. Most common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) and the Neyman-Rubin potential outcome framework.
Aleksander Wieczorek, Volker Roth
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Migraine and risk of stroke and acute coronary syndrome in two case-control studies in the Danish population

Clinical Epidemiology, 2017
Merete Osler,1,2 Ida Kim Wium-Andersen,1,3 Martin Balslev Jørgensen,3 Terese Sara Høj Jørgensen,1,2 Marie Kim Wium-Andersen1 1Research Center for Prevention and Health, Rigshospitalet – Glostrup, Copenhagen University, Glostrup,
Osler M, Wium-Andersen IK, Jørgensen MB, Jørgensen TSH, Wium-Andersen MK   +4 more
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Using directed acyclic graphs to assess collider and confounding bias in reviews of observational studies: an illustrative example using the impact of residential exposure to animal feeding operations on human health

Evidence-Based Toxicology
Bias assessment in systematic reviews of observational studies commonly includes consideration about whether key confounders were controlled but rarely evaluates whether control strategies may have introduced bias through control of colliders or ...
Brayan Alexander Fonseca Martinez, Jan Merrill Sargeant, Sarah Ceridwen Totton, Chong Wang, Annette Maree O’Connor   +4 more
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Association between blood pressure and BMI with bladder cancer risk and mortality in 340,000 men in three Swedish cohorts

Cancer Medicine, 2021
Background The relation between obesity, blood pressure (BP) and bladder cancer (BC) risk and mortality remains unclear, partially due to potential confounding by smoking, the strongest risk factor for BC, and not accounting for tumor stage and grade in ...
Stanley Teleka, Sylvia H. J. Jochems, Christel Häggström, Angela M. Wood, Bengt Järvholm, Marju Orho‐Melander, Fredrik Liedberg, Tanja Stocks   +7 more
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