Topic: biostatistics Goto Github
Some thing interesting about biostatistics
Some thing interesting about biostatistics
biostatistics,The Trendiness of Trends
User: aejensen
biostatistics,Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.
User: aimundo
biostatistics,R Package Hosted on CRAN to Compute Expected Years of Life Lost (YLL) and Average YLL. See https://CRAN.R-project.org/package=yll
User: antoinesoetewey
Home Page: https://CRAN.R-project.org/package=yll
biostatistics,Collection of scripts and modules for biostatistics and data science simple automation for research process.
User: aysuvorov
biostatistics,A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)
User: ben-laufer
Home Page: https://www.benlaufer.com/DMRichR/
biostatistics,pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets
Organization: bsel-uc3m
biostatistics,R package: Condition-Decomposition Normalization for Biological Applications
User: carlosproca
biostatistics,Open source bioinformatics and computational biology toolbox written in F#.
Organization: csbiology
Home Page: https://csbiology.github.io/BioFSharp/
biostatistics,Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.
Organization: csbiology
Home Page: https://www.mdpi.com/1099-4300/22/9/1030
biostatistics, Analysis of simulation studies including Monte Carlo error
User: ellessenne
Home Page: https://ellessenne.github.io/rsimsum/
biostatistics,EpiMethEx (Epigenetic Methylation and Expression), a R package to perform a large-scale integrated analysis by cyclic correlation analyses between methylation and gene expression data.
User: giupardeb
biostatistics,Clinical Trial Simulations
User: gpaux
Home Page: http://gpaux.github.io/Mediana
biostatistics,R package for fitting joint models to time-to-event and longitudinal data
User: graemeleehickey
biostatistics,R package for fitting joint models to time-to-event data and multivariate longitudinal data
User: graemeleehickey
biostatistics,VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.
User: griffan
Home Page: http://griffan.github.io/VerifyBamID/
biostatistics,Comparative BA-calculation for the EMA's Average Bioequivalence with Expanding Limits (ABEL)
User: helmut01
biostatistics,An Intuitive App for Statistical Analysis
User: hikarimusic
Home Page: https://hikarimusic.github.io/BIOSTATS/
biostatistics,locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
User: hruffieux
biostatistics,Biostatistics resources : reading list, RMarkdown notebooks, and more!
User: jb-statistical-consulting
Home Page: https://www.biostatistics.ca
biostatistics,Supplementary material for the paper: A review on competing risks methods for survival analysis
User: karlamonterrubiog
biostatistics,Simulation scripts for matching weights in three-group studies (Epidemiology 2017)
User: kaz-yos
Home Page: https://www.ncbi.nlm.nih.gov/pubmed/28151746
biostatistics,Group sequential design for clinical trials
User: keaven
Home Page: https://keaven.github.io/gsDesign/
biostatistics,Something about epi methods, biostats, infectious diseases
User: kin-wang
biostatistics,Genome browser to visualize and analyze genomic data
User: lebinh190998
Home Page: https://www.youtube.com/watch?v=jPPwD95kp28&ab_channel=BinhLe
biostatistics,SurvSHAP(t): Time-dependent explanations of machine learning survival models
Organization: mi2datalab
Home Page: https://doi.org/10.1016/j.knosys.2022.110234
biostatistics,Biostatistics Guide
User: mikeroyal
biostatistics,Explainable Machine Learning in Survival Analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/survex
biostatistics,:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
User: nhejazi
Home Page: https://code.nimahejazi.org/biotmle/
biostatistics,Conquering confounds and covariates: methods, library and guidance
User: raamana
Home Page: https://raamana.github.io/confounds
biostatistics,missing data handing: visualize and impute
User: raamana
biostatistics,Course materials for "Biostatistics: Case Studies"
User: ricket-sjtu
biostatistics,Incidence Estimation Tools
Organization: sacema
biostatistics,:chart_with_downwards_trend::seedling: R für Bio- und Agrarwissenschaftler
User: schmidtpaul
Home Page: https://schmidtpaul.github.io/crashcouRse
biostatistics,R package for High dimensional data analysis and integration with O2PLS!
User: selbouhaddani
Home Page: https://doi.org/10.1186/s12859-018-2371-3
biostatistics,:green_book:handbook of biostatistic and R
User: shixiangwang
biostatistics,A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy
User: simonguld
biostatistics,Virtual Experiments to Teach Experimental Design
User: statbiscuit
Home Page: https://statbiscuit.shinyapps.io/vested/
biostatistics,Bayesian Gene Heritability Analysis from GWAS summary statistics
Organization: stracquadaniolab
Home Page: https://baghera.readthedocs.io
biostatistics,A Python package for gene network analysis
Organization: stracquadaniolab
Home Page: https://pygna.readthedocs.io
biostatistics,:notebook: 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package
Organization: tlverse
Home Page: https://tlverse.org/sl3/articles/intro_sl3.html
biostatistics, 🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
Organization: tlverse
Home Page: https://tlverse.org/tlverse-handbook
biostatistics,Course webpage for UCLA Biostat 203B (Intro. to Data Science)
Organization: ucla-biostat-203b
Home Page: https://ucla-biostat-203b.github.io/2023winter/
biostatistics,
Organization: ucla-biostat-203b
Home Page: https://ucla-biostat-203b.github.io/2024winter/
biostatistics,Course webpage for UCLA Biostat 212A (Statistical Machine Learning A)
Organization: ucla-biostat-212a
Home Page: https://ucla-biostat-212a.github.io/2024winter/
biostatistics,Course website for "Targeted Learning in Biomedical Big Data" (Spring 2018, UC Berkeley)
Organization: vanderlaan-group
Home Page: https://vanderlaan-group.github.io/tlbbd-sp2018
biostatistics,Website and blog for the research group of Mark J. van der Laan
Organization: vanderlaan-group
Home Page: https://vanderlaan-lab.org
biostatistics,Power and Sample Size Calculation
Organization: vubiostat
biostatistics,Raku/Perl6 resources for bioinformatics
User: wtwt5237
biostatistics,SAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.
User: wyp1125
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