Results 11 to 20 of about 3,372,497 (294)

Probabilistic Search for Object Segmentation and Recognition [PDF]

, 2002
The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range data of the scene. A new statistical criterion, the truncated object probability, is
D. G. Lowe, D. G. Lowe, D. H. Ballard, D. Jacobs, D. P. Huttenlocher, E. M. Stokely, G. Stockmann, M. Fischler, P. Besl, P. H. S. Torr, S. Moss, W. E. L. Grimson, Y. Kuno   +12 more
core   +4 more sources

Index of orthodontic treatment need in children from the Niš region [PDF]

Vojnosanitetski Pregled, 2015
Background/Aim. The Index of Orthodontic Treatment Need (IOTN) is a scoring system for malocclusion that consists of the two independent components: Denal Health Component (DHC) and Aesthetic Component (AC).
Janošević Predrag, Stošić Maja, Janošević Mirjana, Radojičić Julija, Filipović Gordana, Čutović Tatjana   +5 more
doaj   +1 more source

Comprehensive guidelines for appropriate statistical analysis methods in research [PDF]

Korean Journal of Anesthesiology
Background The selection of statistical analysis methods in research is a critical and nuanced task that requires a scientific and rational approach. Aligning the chosen method with the specifics of the research design and hypothesis is paramount, as it ...
Jonghae Kim, Dong Hyuck Kim, Sang Gyu Kwak   +2 more
doaj   +1 more source

Equivalent statistics and data interpretation [PDF]

Behavior Research Methods, 2016
Recent reform efforts in psychological science have led to a plethora of choices for scientists to analyze their data. A scientist making an inference about their data must now decide whether to report a p value, summarize the data with a standardized effect size and its confidence interval, report a Bayes Factor, or use other model comparison methods.
openaire   +3 more sources

Common pitfalls in statistical analysis: The perils of multiple testing

Perspectives in Clinical Research, 2016
Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding.
Priya Ranganathan, C S Pramesh, Marc Buyse   +2 more
doaj   +1 more source

Common pitfalls in statistical analysis: Clinical versus statistical significance

Perspectives in Clinical Research, 2015
In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on ...
Priya Ranganathan, C S Pramesh, Marc Buyse   +2 more
doaj   +1 more source

Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]

Korean Journal of Anesthesiology, 2016
Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
doaj   +1 more source

Atypical Teratoid Rhabdoid Tumor: Two Case Reports and an Analysis of Adult Cases with Implications for Pathophysiology and Treatment

Frontiers in Neurology, 2017
We present the first quantitative analysis of atypical teratoid rhabdoid tumors (ATRT) in adults, including two patients from our own institutions. These are of interest as one occurred during pregnancy and one is a long-term survivor.
Christopher Dardis, Jared Yeo, Kelly Milton, Lynn S. Ashby, Kris A. Smith, Shwetal Mehta, Emad Youssef, Jenny Eschbacher, Kathy Tucker, Laughlin Dawes, Neil Lambie, Elizabeth Algar, Elizabeth Hovey, Elizabeth Hovey   +13 more
doaj   +1 more source

Implications of Hadron Collider Observables on Parton Distribution Function Uncertainties [PDF]

, 1998
Standard parton distribution function sets do not have rigorously quantified uncertainties. In recent years it has become apparent that these uncertainties play an important role in the interpretation of hadron collider data.
A. C. Benvenuti, A. C. Benvenuti, A. D. Martin, F. Abe, H. L. Lai, J. Huston, M. Arneodo, M. Derrick, R. G. Wagner, R. M. Barnett, S. Aid, Stephane Keller, W. H. Press, W. T. Giele, Walter T. Giele   +14 more
core   +2 more sources

Is the Bland-Altman plot method useful without inferences for accuracy, precision, and agreement? [PDF]

Revista de Saúde Pública
OBJECTIVE This study aims to propose a comprehensive alternative to the Bland-Altman plot method, addressing its limitations and providing a statistical framework for evaluating the equivalences of measurement techniques.
Paulo Sergio Panse Silveira, Joaquim Edson Vieira, José de Oliveira Siqueira   +2 more
doaj   +1 more source