Results 71 to 80 of about 1,049,088 (304)
Bounding Bias Due to Selection
When epidemiologic studies are conducted in a subset of the population, selection bias can threaten the validity of causal inference. This bias can occur whether or not that selected population is the target population and can occur even in the absence of exposure–outcome confounding.
Smith, Louisa H., VanderWeele, Tyler J.
openaire +4 more sources
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Background/Objectives: Workplace violence (WV) against healthcare workers (HCWs) is a major hazard all over the world. Prevention requires a reliable risk assessment.
Nicola Magnavita +3 more
doaj +1 more source
Analysts’Optimism and Selection Bias [PDF]
This paper is an empirical examination, drawing on the Institutional Brokers Estimate System (I/B/E/S) database, of analysts’ earnings forecast optimism for Brazilian companies. The study found that analysts were optimistic on average and performed poorly in terms of precision and accuracy. The study period was January 1995 to December 2002.
openaire +2 more sources
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Response-Based Sampling for Binary Choice Models With Sample Selection
Sample selection models attempt to correct for non-randomly selected data in a two-model hierarchy where, on the first level, a binary selection equation determines whether a particular observation will be available for the second level (outcome equation)
Maria Felice Arezzo +1 more
doaj +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson +2 more
wiley +1 more source
Selection and Misclassification Biases in Longitudinal Studies
Using imperfect tests may lead to biased estimates of disease frequency and measures of association. Many studies have looked into the effect of misclassification on statistical inferences.
Denis Haine +5 more
doaj +1 more source
Methodological approaches to population based research of screening procedures in the presence of selection bias and exposure measurement error: colonoscopy and colorectal cancer outcomes in Ontario [PDF]
Binu Jacob +4 more
openalex +1 more source

