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Statistical Inference for Clustering Results Interpretation in Clinical Practice [chapter]

Alexander Kanonirov, Ksenia Balabaeva, Sergey Kovalchuk
2021 Studies in Health Technology and Informatics  
We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling.  ...  This method is based on statistical inference and allows to get the description of the clusters, determining the influence of a particular feature on the difference between them.  ...  of machine learning models in clinical practice and other fields.  ... 
doi:10.3233/shti210580 pmid:34734858 fatcat:4wb4xl5sbfh3xdfizcpmzxnwwa

A dominant set-informed interpretable fuzzy system for automated diagnosis of dementia

Tianhua Chen, Pan Su, Yinghua Shen, Lu Chen, Mufti Mahmud, Yitian Zhao, Grigoris Antoniou
2022 Frontiers in Neuroscience  
Given the advantages of a fuzzy rule-based model, which could potentially result in a clinical decision support system that offers understandable rules and a transparent inference process to support dementia  ...  explicitly reason how a diagnosis can be inferred, sporadically appear in recent literature.  ...  in clinical practice (Bucholc et al., 2019) .  ... 
doi:10.3389/fnins.2022.867664 fatcat:rd6ydxaepvblpbw23vbrue6khy

Commentary on Vul et al.'s (2009) "Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition"

Thomas E. Nichols, Jean-Baptist Poline
2009 Perspectives on Psychological Science  
Acknowledgment-The authors would like to thank Michael Lee for input on this commentary.  ...  how to correctly interpret the results it generates.  ...  Whether FWE or FDR, voxel-wise or cluster-wise, corrected inferences must be used to ensure that results are not attributable to chance.  ... 
doi:10.1111/j.1745-6924.2009.01126.x pmid:26158965 fatcat:yfnossarszhnho3nlruxaby7fi

Page 58 of International Pharmaceutical Abstracts Vol. 31, Issue 22 [page]

1994 International Pharmaceutical Abstracts  
To a lesser extent, physicians are influenced by their own interpretation of clinical trial results.  ...  is outlined as an example of tailoring a database and analysis system for a complex, long-term clinical trial. (30 references) Lisa WEBSTER 3112794 FROM CLINICAL TRiALS TO CLINICAL PRACTICE: GENERALIZING  ... 

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY

Oliver Stegle, Steven E Brenner, Quaid Morris, Jennifer Listgarten
2013 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
Ultimately, personalized medicine needs to make its way into the clinic-results of statistical inference need to be communicated to both clinicians and patients.  ...  As a result, the approach yields clusterings that are better enriched for interpretable GO categories when applied to cancer genome data sets.  ... 
pmid:23424122 pmcid:PMC5894351 fatcat:dn3hevmzezfuhas7lvyg3vtrnu

CONSORT statement: extension to cluster randomised trials

Marion K Campbell, Diana R Elbourne, Douglas G Altman
2004 BMJ (Clinical Research Edition)  
," 21 Explanation The primary reason for identifying the design in the title or abstract is to ensure appropriate indexing of the study as a cluster randomised trial in Medline.  ...  This indexing ensures ease of identification of these studies for inclusion in systematic reviews. In addition, readers will not be misled by apparently large sample sizes.  ...  Knowing the level of inference will subsequently aid interpretation of the statistical methods.  ... 
doi:10.1136/bmj.328.7441.702 pmid:15031246 pmcid:PMC381234 fatcat:rrkd3rgekzf3nfih2s4gg34pau

Statics in orthodontic

Sai Kiran Tomar, Gangesh Bahadur Singh, Pavithra Bai M, Anjali Singh, Mahesh Hiregoudar, N. Raghunanthan
2022 International Journal of Health Sciences  
Clinical studies often compare the efficacy of a new treatment in a study group with the efficacy of conventional treatment or with a control group.  ...  This article informs the reader about frequently used statistical tests and their application in orthodontics and also provides a brief overview of the type of statistical tests to analyze research data  ...  studies needed to produce strong evidence in order to support evidence-based clinical practice in orthodontics.  ... 
doi:10.53730/ijhs.v6ns1.6222 fatcat:dixgtvedqbhprpt5tgwlcqch54

Medical big data: promise and challenges

Choong Ho Lee, Hyung-Jin Yoon
2017 Kidney Research and Clinical Practice  
of clinical practice [27] .  ...  interpretation of the results Important both in collection of data and interpretation of the results Sources of data Any kind of sources; frequently multiple sources Carefully specified collection  ... 
doi:10.23876/j.krcp.2017.36.1.3 pmid:28392994 pmcid:PMC5331970 fatcat:3vziqoegizcqraex5t3eddatzy

Alternative clinical trial designs

John A Harvin, Ben L Zarzaur, Raminder Nirula, Benjamin T King, Ajai K Malhotra
2020 Trauma Surgery & Acute Care Open  
In this review, we discuss alternative clinical trial designs that can address some of these difficulties.  ...  Traditional randomized clinical trials in trauma have challenges in generating new knowledge due to many issues, including logistical difficulties performing individual randomization, unclear pretrial  ...  Further, relying solely on frequentist methods of statistical inference may result in dismissing the results from small clinical trials or from trials that are deemed negative based on an arbitrary binary  ... 
doi:10.1136/tsaco-2019-000420 pmid:32154379 pmcid:PMC7046952 fatcat:q53ruhgpjreyhhj25nvdreiqty

Page 1716 of Psychological Abstracts Vol. 75, Issue 7 [page]

1988 Psychological Abstracts  
Interpretation and inference procedures in cluster analysis are also discussed, and 2 sets of recommendations are made. 18966. Mullet, Gary M.  ...  (c) How are MANOVA test statistics obtained and interpreted? (d) How are MANOVA follow-up tests obtained and interpreted? (e) How is strength of association assessed in MANOVA?  ... 

Phylogenetic Inference of HIV Transmission Clusters

Vlad Novitsky, Sikhulile Moyo, Max Essex
2017 Infectious Diseases and Translational Medicine  
The inference of phylogenetic relationships and the interpretation of results rely on the definition of the HIV transmission cluster.  ...  Obtaining a proper sampling density may increase statistical power and reduce sampling bias, so sampling density should be taken into account in study design and in interpretation of phylogenetic results  ...  Sampling Density Sampling density plays a central role in the identification of HIV transmission clusters and the interpretation of clustering results.  ... 
doi:10.11979/idtm.201702007 doaj:a5df672ee5bd461d9c2f38cffd196dd9 fatcat:654dsldq3featme6govxxpe27e

An Updated Survey on Statistical Thresholding and Sample Size of fMRI Studies

Andy W. K. Yeung
2018 Frontiers in Human Neuroscience  
Results: The majority (95.6%) of the 388 analyzed articles reported statistics corrected for multiple comparisons.  ...  For FSL studies, it seemed that the CDT practice had no improvement since the survey by Woo et al.  ...  minimal cluster size expressed in number of voxels. TABLE 1 | 1 Recently published recommended statistical practices for controlling false positives.  ... 
doi:10.3389/fnhum.2018.00016 pmid:29434545 pmcid:PMC5790797 fatcat:d74mv2mhxfhpfehrvzcuqx6mxa

Multiple systematic reviews: methods for assessing discordances of results

Lorenzo Moja, M. Pilar Fernandez del Rio, Rita Banzi, Cristina Cusi, Roberto D'Amico, Alessandro Liberati, Giovanni Lodi, Ersilia Lucenteforte, Silvia Minozzi, Valentina Pecoraro, Gianni Virgili, Elena Parmelli
2012 Internal and Emergency Medicine  
Abtract Background The process of systematically reviewing research evidence is useful for collecting, assessing and summarizing results from multiple studies planned to answer the same clinical question  ...  or conclusions; (c) which methods or interpretation  ...  Results can differ, or the interpretation and inferences made by the review authors can be discordant.  ... 
doi:10.1007/s11739-012-0846-1 pmid:22941412 fatcat:b5szkol3xzdkndbzog2zciapmm

Improving Practices and Inferences in Developmental Cognitive Neuroscience

John C. Flournoy, Nandita Vijayakumar, Theresa W. Cheng, Danielle Cosme, Jessica E. Flannery, Jennifer H. Pfeifer
2020 Developmental Cognitive Neuroscience  
The past decade has seen growing concern about research practices in cognitive neuroscience, and psychology more broadly, that shake our confidence in many inferences in these fields.  ...  Second, we summarize defensible approaches for null hypothesis significance testing in confirmatory analyses, focusing on transparent and reproducible practices in our field.  ...  Portions of this manuscript were presented at the 2019 Flux conference in New York, NY, and the authors are grateful for the interest in and support of this topic expressed by conference attendees.  ... 
doi:10.1016/j.dcn.2020.100807 pmid:32759026 pmcid:PMC7403881 fatcat:ytbkd3czrfabnifv4a73iityvq

A Review on Clinical Data Mining

Taranath N.L
2016 International Journal Of Engineering And Computer Science  
Clinical data mining is a practice based research strategy by which practitioners and researchers retrieve, analyze and interpret available qualitative and quantitative information from available medical  ...  The aim of this work is to provide a review on the foundation principles of mining clinical dataset, and present the findings and results of past researches on utilizing data mining techniques to mine  ...  Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practical knowledge-building, clinical decision-making and practitioner  ... 
doi:10.18535/ijecs/v5i8.12 fatcat:qmz4ihenlzgsblbynlk3qcirxq
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