Results 71 to 80 of about 2,349,452 (293)

Using State Administrative Data to Measure Program Performance [PDF]

We use administrative data from Missouri to examine the sensitivity of earnings impact estimates for a job training program based on alternative nonexperimental methods.
Peter R. Mueser, Alexey Gorislavsky, Kenneth R. Troske   +2 more
core   +2 more sources

PSAgraphics: An R Package to Support Propensity Score Analysis [PDF]

Propensity score analysis is a technique for adjusting for selection bias in observational data. Estimated propensity scores (probability of treatment given observed covariates) are used for stratification of observations. Within strata covariates should
Robert M. Pruzek, James E. Helmreich
core  

Multiple logistic regression with propensity score adjustment for the association between virus and worsening clinical condition.

, 2023
Multiple logistic regression with propensity score adjustment for the association between virus and worsening clinical condition.
Foday Alhasan (6523598), Laura Short (8584632), James D. Chappell (10005456), Gustavo Amorim (4733925), Troy D. Moon (7525829), Ibrahim Sumah (13116161), Rendie McHenry (6851458), John S. Schieffelin (8544690), Natasha B. Halasa (8787053), Donald S. Grant (8544687), Inaê D. Valério (17125048), Robert J. Samuels (11914478), Zaid Haddadin (10537759)   +12 more
core   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Propensity score adjustment of a treatment effect with missing data in psychiatric health services research

Epidemiology, Biostatistics and Public Health, 2014
Background: Missing values are a common problem for data analyses in observational studies, which are frequently applied in health services research.
Benjamin Mayer, Bernd Puschner
doaj   +1 more source

Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study [PDF]

Propensity score matching is a widely-used method to measure the effect of a treatment in social as well as health sciences. An important issue in propensity score matching is how to select conditioning variables in estimation of the propensity score. It
Nguyen Viet, Cuong
core  

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

Molecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic, Maria Concetta Vitale, Rita Siino, Emilia Di Giovanni, Carla Ferrante Bannera, Enrico Di Marco, Andrea Gottardo, Tancredi Didier Bazan Russo, Nadia Barraco, Alessandro Perez, Valerio Gristina, Antonio Galvano, Giuseppe Badalamenti, Antonio Russo, Viviana Bazan, Lorena Incorvaia   +15 more
wiley   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Propensity Scores for Observational Studies: Putting Real World Data and Experience to Good Use in Spine Research!

Global Spine Journal
Study Design Narrative Review. Objectives Observational studies using real-world data (RWD) have become increasingly popular, though they are susceptible to selection bias.
Daniel C. Norvell PhD, Luke L. Jouppi BS, Arnav Gambhir BS, Mark Kraemer MD, Amir Abdul-Jabbar MD, Rod J. Oskouian MD, Jens R. Chapman MD   +6 more
doaj   +1 more source

Investigating Risk Adjustment Methods for Health Care Provider Profiling When Observations are Scarce or Events Rare

Health Services Insights, 2018
Background: When profiling health care providers, adjustment for case-mix is essential. However, conventional risk adjustment methods may perform poorly, especially when provider volumes are small or events rare.
Timo B Brakenhoff, Karel GM Moons, Jolanda Kluin, Rolf HH Groenwold   +3 more
doaj   +1 more source