Causality matters in medical imaging

DC Castro, I Walker, B Glocker - Nature Communications, 2020 - nature.com
Causal reasoning can shed new light on the major challenges in machine learning for
medical imaging: scarcity of high-quality annotated data and mismatch between the …

Lifetime prevalence of suicide attempts among sexual minority adults by study sampling strategies: A systematic review and meta-analysis

TS Hottes, L Bogaert, AE Rhodes… - … journal of public …, 2016 - ajph.aphapublications.org
Background. Previous reviews have demonstrated a higher risk of suicide attempts for
lesbian, gay, and bisexual (LGB) persons (sexual minorities), compared with heterosexual …

Risk factors for coronavirus disease 2019 (COVID-19) death in a population cohort study from the Western Cape Province, South Africa

Clinical Infectious Diseases, 2021 - academic.oup.com
Background Risk factors for coronavirus disease 2019 (COVID-19) death in sub-Saharan
Africa and the effects of human immunodeficiency virus (HIV) and tuberculosis on COVID-19 …

A checklist for statistical assessment of medical papers (the CHAMP statement): explanation and elaboration

MA Mansournia, GS Collins, RO Nielsen… - British journal of sports …, 2021 - bjsm.bmj.com
Misuse of statistics in medical and sports science research is common and may lead to
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …

Estimated travel time and spatial access to abortion facilities in the US before and after the Dobbs v Jackson Women's Health decision

B Rader, UD Upadhyay, NKR Sehgal, BY Reis… - Jama, 2022 - jamanetwork.com
Importance Abortion facility closures resulted in a substantial decrease in access to abortion
care in the US. Objectives To investigate the changes in travel time to the nearest abortion …

[HTML][HTML] Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

S Greenland, SJ Senn, KJ Rothman, JB Carlin… - European journal of …, 2016 - Springer
Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power
have been decried for decades, yet remain rampant. A key problem is that there are no …

From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges

I Bica, AM Alaa, C Lambert… - Clinical Pharmacology …, 2021 - Wiley Online Library
Clinical decision making needs to be supported by evidence that treatments are beneficial to
individual patients. Although randomized control trials (RCTs) are the gold standard for …

Sarcoidosis epidemiology: recent estimates of incidence, prevalence and risk factors

EV Arkema, YC Cozier - Current opinion in pulmonary medicine, 2020 - journals.lww.com
Sarcoidosis epidemiology: recent estimates of incidence, pre... : Current Opinion in Pulmonary
Medicine Sarcoidosis epidemiology: recent estimates of incidence, prevalence and risk factors …

Misconceptions about the direction of bias from nondifferential misclassification

JJ Yland, AK Wesselink, TL Lash… - American journal of …, 2022 - academic.oup.com
Measurement error is pervasive in epidemiologic research. Epidemiologists often assume
that mismeasurement of study variables is nondifferential with respect to other analytical …

The Impact of Exposure Measurement Error on the Estimated Concentration–Response Relationship between Long-Term Exposure to and Mortality

Y Wei, X Qiu, MD Yazdi, A Shtein, L Shi… - Environmental …, 2022 - ehp.niehs.nih.gov
Background: Exposure measurement error is a central concern in air pollution epidemiology.
Given that studies have been using ambient air pollution predictions as proxy exposure …