jojozhu1989's Stars
chiragjp/nhanes_scidata
NHANES 99-06 Data Descriptor and User's Guide
minjee-kim/nhanesGraph
waterandhealthlab/NHANES_ExWAS
Dona94/PROJECT
R-Shiny app that incorporates QSAR approaches coupled with machine learning techniques to build models which can predict chemical activity and to determine which particular features of a compound are predictive of activity
alexpkeil1/qgcomp
QGcomp (quantile g-computation): estimating the effects of exposure mixtures. Works for continuous, binary, and right-censored survival outcomes. Flexible, unconstrained, fast and guided by modern causal inference principles
kanshao/bbmd
BBMD system with EHP publication
ecologicaltools/IBRtools
The IBRtools package calculates two important indexes IBR (Integrated Biomarker Response) and IBRv2 (Integrated Biological Response version 2), it also calculates the intermediate values for enzyme activity for each index, and it has a graphing function to perform radarplots that make great data visualization for this type of data!
dumizai/Validation-of-2018-new-classification-of-periodontitis
Codes used in the paper entitled "Validation of 2018 new classification of periodontitis: A clustering-based analysis of NHANES 2009-2014"
Harrindy/VCMforPB
This repository contains R programs for the article, “Varying-coefficient regression analysis for pooled biomonitoring,” by Dewei Wang, Xichen Mou, and Yan Liu. This article has been submitted for publication.
vincentmajor/NHANES_receptive_anal_sex_in_women
Receptive anal sex in women and risk of colorectal cancer (2009–2014): a retrospective analysis of NHANES
DivijSanjanwala/R-Analysis-NHANES
A Pure Statistical Analysis using various tools of variable selection, model selection and diagnostics, model shrikage methods, verification using prediction error, and finally concluding on the model parameters impact on the dependent variable. View the video for a better and a deeper statistical intuition of the data analysis project!
AbiramiVadivel28/R-Studio_NHANES-DATA-EXPLORATION
Data NHANES has been explored. Proper cleaning of data, calculation of ROC, modeling, Calculation of accuracy, false positive rate, False negative rate, Specificity and Sensitivity
zhaoliang0302/NHANES-Sugar-Cognition
vynguyen92/nhanes_occupational_exposures
OptimusPrinceps/NHANES-DataMining
Summer 2017-18 Data mining project looking at identifying risk factors for atrial fibrillation
oliviabern/estweight_simulationstudy
Code for the simulation study presented in "Adjustment for Biased Sampling Using NHANES Derived Propensity Weights."
gc521/NHANES-Logistic-Regression
Load/Clean NHANES data to build a binary classification model using logistic regression.
bcjaeger/LDL-imputation
Analysis of LDL in NHANES. Which imputation techniques do better at imputing missing values?
jjwoolley/Diabetes-Identification
Using machine learning to identify individuals with diabetes in the NHANES database
RyanMasson/kidney-function-predictor
Random forest model to predict kidney function outcomes from NHANES health survey responses
leekapp/NHANES-MetS
An examination of NHANES data to examine relationships between components of metabolic syndrome
ilzeabe/Diabetes_NHANES
Exploratory cross-sectional analysis of various demographic and clinical factors as a predictor for increased risk of diabetes
Tirgit/NHANES_depression
buehlere/senior-research
Blood Pressure Prediction and Outlier Detection using NHANES data
xdurana/nhanes
Laboratory test predictors for Type 2 diabetes
wanchichang04/Analysis-of-NHANES-2017-18-
Analysis the association between caffeine intake and gallstones and cholecystectomy among U.S adults
athamatt/NHANESVitDRace
Analysis of NHANES 2011-14 data, looking at 25(OH)D/race interactions for CVD, bone health, and periodontal health
jpkrooney/NHANESmetals_corex_Analysis
7235jake/capstone
CMDA Capstone Fall 2021 (NHANES)
Shujun-Xu/Analyze-Survey-Data-with-R
Coursework | A Survey-weighted Exploratory Analysis of NHANES data