Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benedikt Langenberg"'
Publikováno v:
Methodology, Vol 19, Iss 1, Pp 60-95 (2023)
This article demonstrates how to perform univariate repeated measures ANOVA (U-RM-ANOVA) as a special case of structural equation models (SEMs). In the literature, sphericity is usually defined in terms of variances of pairwise differences of within-
Externí odkaz:
https://doaj.org/article/b34aaca1feba43c287fa6fc9dee9c027
Autor:
Lukas Schöner, David Kuklinski, Laura Wittich, Viktoria Steinbeck, Benedikt Langenberger, Thorben Breitkreuz, Felix Compes, Mathias Kretzler, Ursula Marschall, Wolfgang Klauser, Mustafa Citak, Georg Matziolis, Daniel Schrednitzki, Kim Grasböck, Justus Vogel, Christoph Pross, Reinhard Busse, Alexander Geissler
Publikováno v:
PLoS Medicine, Vol 21, Iss 10, p e1004459 (2024)
BackgroundWhile the effectiveness of patient-reported outcome measures (PROMs) as an intervention to impact patient pathways has been established for cancer care, it is unknown for other indications. We assessed the cost-effectiveness of a PROM-based
Externí odkaz:
https://doaj.org/article/9829e5a9f11845ff8ca159d6bec45804
Publikováno v:
Evaluationthe health professions. 45(1)
In this article, we present single-case causal mediation analysis as the application of causal mediation analysis to data collected within a single-case experiment. This method combines the focus on the individual with the focus on mechanisms of chan
The a priori calculation of statistical power has become common practice in behavioral and social sciences to calculate the necessary sample size for detecting an expected effect size with a certain probability (i.e., power). In multi-factorial repea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c957f4729f4aa5a67c2bf3a4eeb00fb9
https://pub.uni-bielefeld.de/record/2965434
https://pub.uni-bielefeld.de/record/2965434
Structural equation modeling is one of the most popular statistical frameworks in the social and behavioral sciences. Often, detection of groups with distinct sets of parameters in structural equation models (SEM) are of key importance for applied re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4af429b81699f1797aef0998a7eaf5d0
https://pub.uni-bielefeld.de/record/2957850
https://pub.uni-bielefeld.de/record/2957850
Autor:
Viktoria Steinbeck, Anja Yvonne Bischof, Lukas Schöner, Benedikt Langenberger, David Kuklinski, Alexander Geissler, Christoph Pross, Reinhard Busse
Publikováno v:
International Journal for Equity in Health, Vol 23, Iss 1, Pp 1-11 (2024)
Abstract Background As patient-reported outcomes (PROs) gain prominence in hip and knee arthroplasty (HA and KA), studies indicate PRO variations between genders. Research on the specific health domains particularly impacted is lacking. Hence, we aim
Externí odkaz:
https://doaj.org/article/8fb2377ee2ba48ef9ef1117baeefca89
Publikováno v:
Multivariate behavioral research. 57(1)
Repeated measures analysis of variance (RM-ANOVA) is a broadly used statistical method to analyze data from experimental designs. RM-ANOVA aims at investigating effects of experimental conditions (i.e., factors) and predictors that affect the outcome
Autor:
Benedikt Langenberger, Daniel Schrednitzki, Andreas M. Halder, Reinhard Busse, Christoph M. Pross
Publikováno v:
Bone & Joint Research, Vol 12, Iss 9, Pp 512-521 (2023)
Aims: A substantial fraction of patients undergoing knee arthroplasty (KA) or hip arthroplasty (HA) do not achieve an improvement as high as the minimal clinically important difference (MCID), i.e. do not achieve a meaningful improvement. Using three
Externí odkaz:
https://doaj.org/article/26a38672668f4b3a833aaddf51d5d43b
Autor:
Benedikt Langenberger, Natalie Baier, Frank‐Christian Hanke, Jacqueline Fahrentholz, Christina Gorny, Stephanie Sehlen, Katrin Christiane Reber, Sebastian Liersch, Ralf Radomski, Jens Haftenberger, Hans Jürgen Heppner, Reinhard Busse, Verena Vogt
Publikováno v:
Nursing Open, Vol 9, Iss 2, Pp 1477-1485 (2022)
Abstract Aim To estimate the cost‐effectiveness of an intervention facilitating the early detection of adverse drug events through the means of health professional training and the application of a digital screening tool. Design Multi‐centred non
Externí odkaz:
https://doaj.org/article/1102c5803178457595a1834391c82d6f
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Objectives To systematically review studies using machine learning (ML) algorithms to predict whether patients undergoing total knee or total hip arthroplasty achieve an improvement as high or higher than the minimal clinically important dif
Externí odkaz:
https://doaj.org/article/d797e742ef03465fb108afb95fe9537b