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by
Xu, Song, author.
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, statistical, and modeling methods. In this work, I studied the clonal dynamics in the hematopoietic system of
by
Rios Piedra, Edgar Anselmo, author.
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approaches, setting the bases for the development of better knowledge-based methods. Additionally, a novel
by
Zimmerman, Vanessa B., author.
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-efficacy, and use of assessments. Results gained from the study will be assessed through statistical software to
by
Baker, Jason R., author.
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statistical methods were employed for data summarization and comparison. The animated educational video had
by
Brassfield, Sheri J., author.
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assessment data. The F-ratio is another statistical assessment that was used to verify that the means were
by
Anderson, Jason Reid, author.
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-built statistical methods for assessing IIV with few repeated measures, and consideration of biological and
by
Ellis, Amanda R., author.
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capture histories being fixed. The methods properly account for uncertainty in the matching process and
by
Banerjee, Debrup, author. (orcid)0000-0003-3270-3600
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outperformed most state-of-the-art methods in the literature and are potentially efficient models for emotional
by
Olagunju, Kehinde, author.
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, faculty, staff, administration, and alumni. Data were analyzed using several statistical methods including
by
Banga, Jasdeep Singh, author.
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machine learning methods like neural networks and statistical methods like logistic regression are used to
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Carvalho, Carina Luísa da Costa, author.
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pathology, microbiology and molecular methods. Data analysis involved the resource to phylogenetic inference
by
Ding, Tao, author.
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statistical and pattern recognition techniques can be effective methods for the analysis of such complex data

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