GitHub topics: missing-data
nickpoison/astsa
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
Language: R - Size: 86.5 MB - Last synced at: about 12 hours ago - Pushed at: about 12 hours ago - Stars: 129 - Forks: 46

yrosseel/lavaan
an R package for structural equation modeling and more
Language: R - Size: 9.76 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 467 - Forks: 110

njtierney/naniar
Tidy data structures, summaries, and visualisations for missing data
Language: R - Size: 94.7 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 661 - Forks: 55

Shivaay8055/Bank-Marketing-Data
Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a plazo (variable y).
Size: 2.44 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

HilalOzdemirBuyukasik/Pandas
This repository contains practical Pandas exercises covering key data manipulation, cleaning, and aggregation techniques. It includes a progression from basic DataFrame operations to advanced feature engineering, with examples such as YouTube analytics and dataset cleaning.
Language: Jupyter Notebook - Size: 280 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

btmartin721/SNPio
API to read, write, and filter DNA sequence alignment files
Language: Python - Size: 178 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 1

fmorenopino/HeterogeneousHMM
Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.
Language: Python - Size: 6.22 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 79 - Forks: 15

ResidentMario/missingno
Missing data visualization module for Python.
Language: Python - Size: 10.4 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 4,108 - Forks: 527

CyrilJl/OptiMask
Efficiently finding the largest (non-necessarily contiguous) sub-matrix without NaN in Python
Language: Jupyter Notebook - Size: 3.32 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 1

royruddle/vizdataquality
Python package for visualizing data quality
Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

giobbu/neural-MF
Basic neural matrix factorization for missing data imputation
Language: Python - Size: 173 KB - Last synced at: 6 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

nicolepcollins/nashville-housing-dataset-cleaning
This project demonstrates data cleaning on the Nashville Housing dataset (2013–2016) using R and packages like tidyverse, lubridate, and janitor. Key steps included standardizing column names, handling missing values, formatting dates, cleaning text fields, and identifying outliers. The cleaned dataset is now ready for analysis and modeling to unco
Language: HTML - Size: 7.2 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

uds-helms/BEclear
Correction of batch effects in DNA methylation data
Language: R - Size: 1.07 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

alexanderrobitzsch/miceadds
Some Additional Multiple Imputation Functions, Especially for 'mice'.
Language: R - Size: 2.87 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 17 - Forks: 2

Ashbyt/Python
Ashley Bythell - Python
Language: Jupyter Notebook - Size: 5.62 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

WenjieDu/BrewPOTS
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 96 - Forks: 14

JohannesBuchner/askcarl
Gaussian Mixture Model likelihood with support for heterogeneous missing and censored (upper limit) data.
Language: Python - Size: 2.84 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

WenjieDu/PyGrinder
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing
Language: Python - Size: 166 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 52 - Forks: 5

amices/mice
Multivariate Imputation by Chained Equations
Language: R - Size: 164 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 467 - Forks: 112

FarrellDay/miceRanger
miceRanger: Fast Imputation with Random Forests in R
Language: R - Size: 2.04 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 69 - Forks: 13

fmenat/DSensDp
Public repository of our research work at IEEE Access
Language: Python - Size: 463 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

mikewlcheung/metasem
metaSEM package
Language: HTML - Size: 11.9 MB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 31 - Forks: 12

alejo1630/missing_values
This Notebook explores the impact of different missing data handling techniques on a medical dataset by analyzing missingness patterns, variable distributions, and inter-feature relationships to inform appropriate imputation strategies.
Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 15 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ecmerkle/blavaan
An R package for Bayesian structural equation modeling
Language: R - Size: 266 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 94 - Forks: 23

cran-task-views/MissingData
CRAN Task View: Missing Data
Size: 104 KB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 0

zjg540066169/BMIselect
Source Code for Paper "Bayesian MI-LASSO for variable selection on multiply-imputed data" (Arxiv: https://arxiv.org/abs/2211.00114)
Language: R - Size: 273 KB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

fmenat/missingviews-study-EO
Public repository of our IGARSS 2024 work
Language: Python - Size: 455 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Size: 923 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1,410 - Forks: 138

amices/shinymice
{shinymice} is an R package for interactive evaluation of incomplete data by Hanne Oberman, guided by Gerko Vink and Stef van Buuren.
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tongnie/ImputeFormer
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
Language: Python - Size: 179 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 41 - Forks: 1

fmenat/CoM-views
Public repository of our work in all Combinations of Missing (CoM) views in multi-view learning models
Language: Python - Size: 1.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

jbryer/medley
Predictive Modeling with Missing Data
Language: R - Size: 10.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

JacopoLokken/MAE_thesis
Repository containing the full R code analyzing the impact of missing data handling techniques (listwise deletion, single imputation by median\mode and proximity - based imputation) on Random Forests predictive performance
Language: R - Size: 9.12 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

JuliaData/Missings.jl
Missing value support for Julia
Language: Julia - Size: 175 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 73 - Forks: 18

SteffenMoritz/imputeTS
CRAN R Package: Time Series Missing Value Imputation
Language: R - Size: 168 MB - Last synced at: 25 days ago - Pushed at: almost 3 years ago - Stars: 163 - Forks: 25

ArthurMangussi/pymdatagen
A Python Library for the Generation of Artificial Missing Data
Language: Python - Size: 2.36 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 5 - Forks: 2

OfficiallyXenos/ALT-School-Second-Semester-Project
A data analysis project for the AltSchool of Data Science Tinyuka 2024 Second Semester. This project explores missing data classification, COVID-19 case aggregation by region, and time series trends using Python and real-world datasets.
Language: Jupyter Notebook - Size: 283 KB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

hlorenzo/ddsPLS
Analysis of multi-block supervised problems thanks to SVD-based methods permitting variable selection.
Language: R - Size: 18.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 2

tom-metherell/Mice.jl
a package for missing data handling via multiple imputation by chained equations in Julia. It is heavily based on the R package {mice} by Stef van Buuren, Karin Groothuis-Oudshoorn and collaborators.
Language: Julia - Size: 1.65 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 13 - Forks: 2

mebrooks/growmod
An R package for fitting state-space models to repeated measures of multiple individuals with covariates
Language: R - Size: 2.83 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

OpenIDEA-YunanUniversity/ycimpute
A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....
Language: Python - Size: 10.7 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 107 - Forks: 18

eltonlaw/impyute
Data imputations library to preprocess datasets with missing data
Language: Python - Size: 2.43 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 359 - Forks: 49

cosbidev/NAIM
Official implementation for the paper ``Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets´´
Language: Python - Size: 225 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 3

antoniatsv/R-Compatibility-Sim-Study
A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.
Language: R - Size: 20.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

KwonNayeon/bayesian-paper-reviews
Bayesian analysis paper reviews from grad school
Size: 9.08 MB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

maximtrp/scikit-na
Missing Data Analysis in Python
Language: Python - Size: 1.33 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

FilippoMB/Time-Series-Cluster-Kernel
Kernel similarity for classification and clustering of multi-variate time series with missing values.
Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

GrossSBM/missSBM
An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions
Language: R - Size: 85.1 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 12 - Forks: 2

gianlucatruda/quantified-sleep
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 46 - Forks: 2

TsLu1s/mlimputer
MLimputer: Missing Data Imputation Framework for Machine Learning
Language: Python - Size: 4.22 MB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 8 - Forks: 1

ArthurMangussi/FairML
Fairness-Machine Learning in the Context of Missing Data Imputation
Language: Python - Size: 317 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

bdslab-upv/extremiss
Numerical data imputation methods for extremely missing data contexts
Language: Python - Size: 52.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

WenjieDu/Awesome_Imputation
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Language: Python - Size: 3.09 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 254 - Forks: 32

ArthurMangussi/FilterNoise
Codebase of the conference paper: Assessing Adversarial Effects of Noise in Missing Data Imputation
Language: Python - Size: 54.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

thanhle88/streaming-tensor-decompositions Fork of thanhtbt/tensor_tracking_survey
A list of up-to-date and on-going papers on streaming,adaptive,online,incremental tensor decompositions, tensor tracking, dynamic tensor analysis
Size: 360 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cykbennie/fbi
Factor-Based Imputation for Missing Data
Language: R - Size: 2.32 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 57 - Forks: 14

BeheshteSadeghi/TitanicSurvivalPrediction_PycaretPipelineGridSearchCV
The focus of this project is on Data Cleaning, Data Analysis, Gaining an insight from Pycaret Classification tool over best ML algorithms, hyperparameter tuning through GridSearchCV for top ML algorithms and generating Pipeline for the best algorithm.
Language: Jupyter Notebook - Size: 483 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

vsimkus/vae-conditional-sampling
[TMLR] Research code for the paper "Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling".
Language: Python - Size: 65.4 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

giobbu/collaborative-data-imputation
Data imputation with collaborative filtering and latent factor models for wind farms time series data
Language: Python - Size: 2.36 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

BitByNIK/hmv_pack
UCS633 Project-3
Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

viodotcom/ppca_rs
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Language: Rust - Size: 316 KB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 35 - Forks: 2

mlpapers/missing-data
Awesome papers on Missing Data
Size: 7.81 KB - Last synced at: 1 day ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 1

an-seunghwan/MaCoDE
Official implementation of 'Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis' (MaCoDE) with pytorch.
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

marcboelle/ppca-pcca-for-missing-data
Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

dtim-upc/THOR
THOR (Text Homogenization from Oblivion to Reality)
Language: Jupyter Notebook - Size: 5.44 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1

ArthurMangussi/Fairness
Codebase for evaluating the fairness of Missing Data Imputation strategies
Language: Python - Size: 9.35 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

cxy0714/Method-of-Moments-Inference-for-GLMs
Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"
Language: R - Size: 35.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1

AYSE-DUMAN/-Preprocessing-and-data-visualization-of-the-titanic-dataset
Kodluyoruz istatistik ve veri ön işleme çalışma grubunda Eğitmenimiz tarafından önerilen Titanic veri seti üzerindeki çalışmam yer almaktadır. Bu çalışmada veri setinin betimsel istatistikleri, veri görselleştirmesi, eksik (kayıp) veri analizi yöntemleri (missing value analysis methods) , aykırı değer analizi (outlier detection) yöntemleri ilgili veri setine uygulanmıştır.
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

gmum/geo-gcn
The official implementation of the SGCN architecture.
Language: Python - Size: 68.4 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 62 - Forks: 18

Japal/zCompositions
Imputation of zeros, nondetects and missing data in compositional data sets
Language: R - Size: 325 KB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

aliciagilmatute/Estudio-Valores-Perdidos
Este estudio investiga la efectividad de la imputación múltiple en el análisis factorial confirmatorio (AFC) con datos de liderazgo, donde se simularon valores perdidos (MCAR) en un 40% de la muestra.
Language: R - Size: 571 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

baggepinnen/TotalLeastSquares.jl
Solve many kinds of least-squares and matrix-recovery problems
Language: Julia - Size: 106 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 4

alan-turing-institute/setvis
A tool for visualising set membership and patterns of missingness in data
Language: Python - Size: 3.73 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

leonardodepaula/xgbimputer
Extreme Gradient Boost imputer for Machine Learning.
Language: Python - Size: 120 KB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 1

cbg-ethz/SGS
Inference in Bayesian Networks with R
Language: R - Size: 5.21 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

nickpoison/tsa4
R code for Time Series Analysis and Its Applications, Ed 4
Size: 229 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 158 - Forks: 65

fayzi-dev/scikit_learn
scikit_learn
Language: Python - Size: 58.6 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

willdemelo/Predicting_Depression_in_Florida
A series of models using SimplyAnalytics' county data to predict Florida's missing depression statistics.
Language: Jupyter Notebook - Size: 8.92 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

DavideAltomare/rego
Automatic Time Series Forecasting and Missing Values Imputation
Language: C++ - Size: 20.7 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 3

mdh266/NYCBuildingEnergyUse
Creating Regression Models Of Building Emissions On Google Cloud
Language: Jupyter Notebook - Size: 21 MB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 6

elliecurnow/midoc
Language: R - Size: 3.85 MB - Last synced at: 9 days ago - Pushed at: 20 days ago - Stars: 6 - Forks: 1

zhangyk8/Debias-Infer
Python and R Packges for Efficient Inference on High-Dimensional Linear Models With Missing Outcomes
Language: Jupyter Notebook - Size: 83.5 MB - Last synced at: 30 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

SteffenMoritz/imputeR
CRAN R package: Impute missing values based on automated variable selection
Language: R - Size: 11 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 16 - Forks: 3

modal-inria/MixtComp
Model-based clustering package for mixed data
Language: Jupyter Notebook - Size: 339 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 4

SamanKhamesian/Imputation-of-Missing-Values
This project is an implementation of hybrid method for imputation of missing values
Language: Python - Size: 160 KB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 4

dea-hazewinkel/tmsens
TM project
Language: R - Size: 1.33 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

brdav/ppca
EM algorithm for probabilistic PCA in Python
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

Yacine87/EDA_R_Packages
EDA is a must to do step in the data science workflow. Working on data, wrangling & transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs & decision making). This repo will show you how to perform EDA in R using the tidyverse ecosystem, and will introduce a comparative approach between the main packages in R whcich could let you perform automated EDA & generating automated EDA html or pdf reports, ready to be communicated.
Language: R - Size: 4.88 KB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

raamana/missingdata
missing data handing: visualize and impute
Language: Python - Size: 1.52 MB - Last synced at: 4 days ago - Pushed at: almost 6 years ago - Stars: 18 - Forks: 1

haghish/mlim
mlim: single and multiple imputation with automated machine learning
Language: R - Size: 2.41 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 1

miriamspsantos/dcai-ecai-tutorial-2024
A multi-view panorama of Data-Centric AI: Techniques, Tools, and Applications (ECAI Tutorial 2024)
Size: 1.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

alexanderrobitzsch/mdmb
Model Based Treatment of Missing Data
Language: R - Size: 1.17 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 1

simongrund1/mitml
Tools for multiple imputation in multilevel modeling
Language: R - Size: 785 KB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 7

NErler/JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Language: R - Size: 348 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 4

AnGabrio/missingHE
Health economic evaluations from individual level data with missing values using a set of pre-defined Bayesian models written in BUGS. A series of parametric models are available to jointly model partially-observed effectiveness and cost outcomes under both ignorable and nonignroable missing data mechanism assumptions
Language: R - Size: 9.33 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

AnGabrio/short-course
Short course on Bayesian methods for addressing missing data in health economic evaluations
Size: 14.2 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

Mgobeaalcoba/missing-values-pandas
Practice with missing values in pandas & extends the pandas api
Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

satyambhatt5/Data_science
Language: Jupyter Notebook - Size: 8.13 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

health-ai-lab/Data-Augmented-Simulation
Data Augmented Simulation
Language: Python - Size: 70.3 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

plaban1981/Udemy
udemy
Language: Jupyter Notebook - Size: 201 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
