Results 91 to 100 of about 206,310 (335)

Propensity‐score matching with competing risks in survival analysis

Statistics in Medicine, 2018
Propensity‐score matching is a popular analytic method to remove the effects of confounding due to measured baseline covariates when using observational data to estimate the effects of treatment.
P. Austin, J. Fine
semanticscholar   +1 more source

Nearest Neighbour Propensity Score Matching and Bootstrapping for Estimating Binary Patient Response in Oncology: A Monte Carlo Simulation

Scientific Reports, 2020
Nearest Neighbour (NN) propensity score (PS) matching methods are commonly used in pharmacoepidemiology to estimate treatment response using observational data.
Tine Geldof, D. Popovic, N. Van Damme, I. Huys, Walter Van Dyck   +4 more
semanticscholar   +1 more source

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Investigating the causal relationship between employment and informal caregiving of the elderly

BMC Research Notes, 2018
Objective Examining the causal relationship between employment and informal caring to date has been impeded in countries like Ireland where there is a lack of suitable panel data and/or variables for instrument construction. This paper employs propensity
Edel Walsh, Aileen Murphy
doaj   +1 more source

Effects of Internet and Smartphone Addictions on Depression and Anxiety Based on Propensity Score Matching Analysis

International Journal of Environmental Research and Public Health, 2018
The associations of Internet addiction (IA) and smartphone addiction (SA) with mental health problems have been widely studied. We investigated the effects of IA and SA on depression and anxiety while adjusting for sociodemographic variables.
Y. Kim, H. M. Jang, Youngjo Lee, Donghwan Lee, D. Kim   +4 more
semanticscholar   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

Coaxial-Robotic Single-Site Myomectomy: Surgical Outcomes Compared with Robotic Single-Site Myomectomy by Propensity Score Matching Analysis [PDF]

, 2022
Su Hyeon Choi, Seyeon Won, Nara Lee, So Hyun Shim, Mi Kyoung Kim, Mi‐La Kim, Yong Wook Jung, Bo Seong Yun, Seok Ju Seong   +8 more
openalex   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

ASPECTS OF THE USE OF PROPENSITY SCORE MATCHING METHODS IN NEUROSURGERY

Coluna/Columna
Objective Observational studies and register data provide researchers with ample opportunities to obtain answers to questions that randomized controlled trials cannot answer for organizational or ethical reasons. One of the most common tools for solving
ALEKSANDR V. KRUTKO, SHAMIL A. AKHMETYANOV, KIRILLYU ORLOV, VICTOR S. GLADKIKH, ANDREY V. MOSKALEV   +4 more
doaj   +1 more source