Výsledky vyhľadávania - (( (state.edu OR stat) python code analysis ) OR ( stateeeeeeeeeeeen python code analysis ))*

Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial: Introduction to computational causal inference using reproducible Stata, R, and Python code: a tutorial

Autori: Matthew J. Smith Mohammad A. Mansournia Camille Maringe a ďalší

Prispievatelia: Matthew J. Smith Mohammad A. Mansournia Camille Maringe a ďalší

Zdroj: Stat Med
RISalud-ANDALUCIA. Repositorio Institucional de Salud de Andalucía
instname

Predmety: regression adjustment, 01 natural sciences, Article, Applications of statistics to biology and medical sciences, meta analysis, Modelos estadísticos, double-robust methods, Humans, Computer Simulation, causal inference, 0101 mathematics, Propensity Score, propensity score, Probability, Simulación por computador, Proyectos de investigación, Models, Statistical, g-formula, Causalidad, Humanos, 3. Good health, Causality, machine learning, Puntaje de propensión, G-methods, Research Design, targeted maximum likelihood estimation, Probabilidad, inverse probability weighting

Popis súboru: application/pdf; application/xml

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.9234
https://pubmed.ncbi.nlm.nih.gov/34713468
http://hdl.handle.net/10668/22539
https://hdl.handle.net/10668/24648
https://researchonline.lshtm.ac.uk/id/eprint/4664004/1/sim.9234.pdf

ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, 'Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm'

Autori: Lenz, Robin Enders, Kristina Fischer, Franziska a ďalší

Predmety: microplastics microscopy image analysis python altair, scipo, stat

Relation: https://zenodo.org/record/4592320

Dostupnosť: https://zenodo.org/record/4592320

GE-IA-NAM: gene-environment interaction analysis via imaging-assisted neural additive model.

Autori: Li J Xu Y Ma S a ďalší

Zdroj: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Sep 01; Vol. 41 (9).

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Výrazy zo slovníka MeSH: Lung Neoplasms*/genetics , Skin Neoplasms*/genetics , Melanoma*/genetics , Gene-Environment Interaction* , Deep Learning*, Datasets as Topic ; Humans ; Age Factors ; Sex Factors ; Smoking

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Predmety: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Autori: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John a ďalší

Témy: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH, Dataset

URL: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141
https://doi.org/10.1038/s41416-018-0216-5
https://www.repository.cam.ac.uk/handle/1810/287141

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Autori: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan a ďalší

Zdroj: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Predmety: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autori: Golestani, Ali M. Gee, Julia M.

Zdroj: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Predmety: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Python Programming: Numerical Analysis/Machine Learning Series.

Autori: Doskas, Constantinos

Zdroj: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Predmety: PYTHON programming language, NUMERICAL analysis, MACHINE learning

A Short Guide to Using Python For Data Analysis In Experimental Physics

Autori: Fortune, Nathanael Alexander

Zdroj: Physics: Faculty Publications

Predmety: DATA ANALYSIS, NUMPY, PHYSICS, PYTHON, SCIPY, Computer Sciences, stat, edu

Relation: https://scholarworks.smith.edu/phy_facpubs/30

Dostupnosť: https://scholarworks.smith.edu/phy_facpubs/30

Triglycerides and Hypertension in a Korean Population: An Individual-Level Mendelian Randomization Analysis.

Autori: Huang, Ximei Kim, Minjoo

Zdroj: Nutrients. Feb2026, Vol. 18 Issue 4, p633. 15p.

Explainable Machine Learning for Functional Data.

Autori: GOODE, KATHERINE TUCKER, J. DEREK RIES, DANIEL a ďalší

Zdroj: Journal of Data Science; Jan2026, Vol. 24 Issue 1, p125-145, 21p

Predmety: SUPERVISED learning, MACHINE learning, FUNCTIONAL analysis, FEATURE extraction, FORENSIC sciences

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autori: Dunker, Fabian Mendoza, Emil Reale, Marco

Zdroj: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Predmety: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

pyjeo: A Python Package for the Analysis of Geospatial Data

Autori: Pieter Kempeneers Ondrej Pesek Davide De Marchi a ďalší

Zdroj: ISPRS International Journal of Geo-Information, Vol 8, Iss 10, p 461 (2019)

Predmety: open-source software, geospatial data, image processing, stat, geo

Relation: https://doaj.org/article/352223c398b04d87ade0a49b91244b53

Dostupnosť: https://doi.org/10.3390/ijgi8100461
https://doaj.org/article/352223c398b04d87ade0a49b91244b53

Automation of Software Code Analysis Using Machine Learning Methods.

Autori: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Zdroj: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Autori: Yao Y Zhang D Fan H a ďalší

Zdroj: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2026 Jan; Vol. 18 (1), pp. 921-935. Date of Electronic Publication: 2025 May 21.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE

Výrazy zo slovníka MeSH: Antimicrobial Peptides*/chemistry , Antimicrobial Peptides*/pharmacology , Computational Biology*/methods, Humans

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

Autori: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a ďalší

Prispievatelia: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. a ďalší

Zdroj: ISSN: 0306-4549 ; Annals of Nuclear Energy ; https://hal.science/hal-04777159 ; Annals of Nuclear Energy, 2025, 211, pp.110962. ⟨10.1016/j.anucene.2024.110962⟩.

Predmety: Uncertainty quantification, MUSA, Source Term, Modelling, Severe accident, Nuclear reactor, [PHYS]Physics [physics], [SPI]Engineering Sciences [physics], [STAT]Statistics [stat]

Relation: info:eu-repo/grantAgreement//847441/EU/MANAGEMENT AND UNCERTAINTIES OF SEVERE ACCIDENTS/MUSA

Dostupnosť: https://hal.science/hal-04777159
https://hal.science/hal-04777159v1/document
https://hal.science/hal-04777159v1/file/Final_version_ANE20225.pdf
https://doi.org/10.1016/j.anucene.2024.110962

Tiger colour morphs in zoos raise conservation and welfare concerns.

Autori: Erzinçlioğlu, Tanya S. Piaz, Mina T. Chinpilas, Tunya a ďalší

Zdroj: Discover Animals (3004-894X). 2/18/2026, Vol. 3 Issue 1, p1-20. 20p.

Predmet: Inbreeding, Animal welfare, Animal coloration, Environmental protection, Policy analysis, Human-animal relationships, Animal breeding

Geografický termín: Thailand

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Autori: Tarek A. Atwan

Typ zdroja: eBook.

Predmet: Python (Computer program language), Machine learning

Kategórie: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autori: Stewart, Mathew Peters, Carli Ziegler, Michael J. a ďalší

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Autori: Tan, Lizhi Cai, Xinyu Kong, Yuan a ďalší

Zdroj: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.