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A mixed methods study comparing video based and paper based diagnostic error education for medical students. [PDF]

Sci Rep
Miyagami T, Ishizuka K, Furusaka-Kushiro S, Kondo K, Kunitomo K, Akutagawa K, Watari T, Harada T, Ito H, Ando T, Hiyoshi T, Harada Y, Yamashita S, Nishizaki Y, Shimizu T, Raffel KE, Naito T.   +16 more
europepmc   +1 more source

Effect of adjuvant carboplatin intensified chemotherapy versus standard chemotherapy on survival in women with high risk, early stage, triple negative breast cancer (CITRINE): randomised, open label phase 3 trial.

BMJ
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Errors in all variables

AIP Conference Proceedings, 2005
We present a thorough derivation of the posterior for the straight line fit employing the hyper‐plane prior. For the example of the parabola we enlarge the scope to nonlinear problems, however simplify it to be solved resembling the straight line solution.
Preuss, R., Dose, V.
openaire   +3 more sources

LogitBoost with errors-in-variables

Computational Statistics & Data Analysis, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sexton, Joseph, Laake, Petter
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Identifiability in dynamic errors-in-variables models

The 22nd IEEE Conference on Decision and Control, 1983
Abstract. This paper is concerned with the identifiability of scalar linear dynamic errors‐in‐variables systems. The analysis is based on second moments only. The set of feasible systems corresponding to given second moments of the observations is described and conditions for identifiability are derived for the case of rational transfer functions.
Anderson, Brian D.O., Deistler, Manfred
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Errors in Variables

1987
This essay surveys the history and recent developments on economic models with errors in variables. These errors may arise from the use of substantive unobservables, such as permanent income, or from ordinary measurement problems in data collection and processing.
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Boosted Regression Trees with Errors in Variables

Biometrics, 2007
Summary In this article, we consider nonparametric regression when covariates are measured with error. Estimation is performed using boosted regression trees, with the sum of the trees forming the estimate of the conditional expectation of the response. Both binary and continuous response regression are investigated.
Sexton, Joseph, Laake, Petter
openaire   +3 more sources