Suchergebnisse - (( (stat OR stated) python code analysis ) OR ( skratene 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

Autoren: Matthew J. Smith Mohammad A. Mansournia Camille Maringe et al.

Weitere Verfasser: Matthew J. Smith Mohammad A. Mansournia Camille Maringe et al.

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

Schlagwörter: 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

Dateibeschreibung: application/pdf; application/xml

Zugangs-URL: 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

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

Autoren: Tarek A. Atwan

Resource Type: eBook.

Schlagworte: Python (Computer program language), Machine learning

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

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

Autoren: Li J Xu Y Ma S et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

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

Advanced Structural Analysis : From Theory to Computer Implementation (OpenSees Examples with Python Code Solutions)

Autoren: Juan Camilo Molina Villegas

Resource Type: eBook.

Schlagworte: Structural analysis (Engineering)

Categories: TECHNOLOGY & ENGINEERING / Construction / General

Text Analysis with Python: A Research Oriented Guide

Autoren: Mamta, Mittal Gopi, Battineni Bhimavarapu, Usharani et al.

Resource Type: eBook.

Schlagworte: Programming languages (Electronic computers), Python (Computer program language), Text processing (Computer science)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General

The Computational Content Analyst : Using Machine Learning to Classify Media Messages

Autoren: Chris J. Vargo

Resource Type: eBook.

Schlagworte: Machine learning

Categories: LANGUAGE ARTS & DISCIPLINES / Communication Studies, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Media Studies

Luminescence Signal Analysis Using Python

Autoren: Vasilis Pagonis

Resource Type: eBook.

Schlagworte: Radiation dosimetry, Mathematical physics, Python (Computer program language), Quantum physics, Optical spectroscopy

Categories: SCIENCE / Life Sciences / Biophysics, COMPUTERS / Languages / Python, SCIENCE / Physics / Mathematical & Computational, SCIENCE / Physics / Quantum Theory, SCIENCE / Spectroscopy & Spectrum Analysis, TECHNOLOGY & ENGINEERING / Materials Science / General

The Nexus Recursive Harmonic Framework: Reality as Unbounded, Observerless Computation (SILR / RHA / CST) Ver 2

Autoren: Kulik, Dean

Zugangs-URL: https://zenodo.org/records/18359261

Linear Regression With Python : A Tutorial Introduction to the Mathematics of Regression Analysis

Autoren: James V Stone

Resource Type: eBook.

Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, COMPUTERS / Languages / Python, MATHEMATICS / Probability & Statistics / General

Data Analytics for Discourse Analysis with Python : The Case of Therapy Talk

Autoren: Dennis Tay

Resource Type: eBook.

Schlagworte: Discourse analysis--Data processing, Python (Computer program language), Psychotherapy--Language--Case studies

Categories: LANGUAGE ARTS & DISCIPLINES / General, LANGUAGE ARTS & DISCIPLINES / Linguistics / General

Applied Time Series Analysis and Forecasting with Python

Autoren: Changquan Huang Alla Petukhina

Resource Type: eBook.

Schlagworte: Python (Computer program language), Time-series analysis, Time-series analysis--Forecasting, Time-series analysis--Computer programs

Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software

Data Clustering with Python : From Theory to Implementation

Autoren: Guojun Gan

Resource Type: eBook.

Schlagworte: Python (Computer program language), Cluster analysis

Categories: MATHEMATICS / Probability & Statistics / General

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

Autoren: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Weitere Verfasser: Brumm, S. Gabrielli, F. Sanchez Espinoza, V. et al.

Quelle: 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⟩.

Schlagwörter: 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

Verfügbarkeit: 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

Time Series Analysis with Python Cookbook : Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation

Autoren: Tarek A. Atwan

Resource Type: eBook.

Schlagworte: Machine learning, Python (Computer program language)

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python

Using Python for Text Analysis in Accounting Research

Autoren: Vic Anand Khrystyna Bochkay Roman Chychyla et al.

Resource Type: eBook.

Categories: BUSINESS & ECONOMICS / Accounting / General

The Nexus Recursive Harmonic Framework ## Reality as Unbounded, Observerless Computation (SILR / RHA / CST)

Autoren: Kulik, Dean

Zugangs-URL: https://zenodo.org/records/18358305

Python How-To : 63 Techniques to Improve Your Python Code

Autoren: Yong Cui

Resource Type: eBook.

Schlagworte: Python (Computer program language), Computer programming, Video games--Programming

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming

Adaptive Harmonic Rasterization Collapse Engine: A Unified Recursive Harmonic Framework and Prototype Implementation

Autoren: Kulik, Dean

Mastering Geospatial Analysis with Python : Explore GIS Processing and Learn to Work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Autoren: Silas Toms Paul Crickard Eric van Rees

Resource Type: eBook.

Schlagworte: Python (Computer program language), Geographic information systems

Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & Design

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

Autoren: Yao Y Zhang D Fan H et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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

MeSH-Schlagworte: Antimicrobial Peptides*/chemistry , Antimicrobial Peptides*/pharmacology , Computational Biology*/methods, Humans