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HCUP
Availability Proprietary  +
Blog Descriptive Stats + , R, a powerful tool + , Introduction to Logistic Regression +
Cito:citesAsAuthority https://www.hcup-us.ahrq.gov/reports/spotlights.jsp  +
Cito:citesAsDataSource https://www.hcup-us.ahrq.gov/reports/spotlights.jsp  + , https://www.ncbi.nlm.nih.gov/pubmed/?term="HCUP"[tiab]+OR+"Healthcare+Cost+Utilization+Project"[tiab]  +
Dcat:keyword hcup  + , healthcare cost and utilization project  + , health  + , healthcare  + , health statistics  + , data analysis  + , analysis  + , data collection  + , data processing  + , databases  + , research  +
Dct:accrualPeriodicity http://purl.org/cld/freq/annual  +
Dct:alternative HCUP  + , H-CUP  +
Dct:description The Healthcare Cost and Utilization Project (HCUP) includes the largest collection of longitudinal hospital care data in the United States. HCUP products including State and nationwide databases, software and online tools, and reports.  +
Dct:hasPart KID + , NEDS + , NIS + , NRD + , SASD + , SEDD + , SID +
Dct:publisher http://www.ahrq.gov/  +
Dct:references https://www.hcup-us.ahrq.gov/news/exhibit_booth/HCUPFactSheet.pdf  +
Dct:rights All purchasers and users of HCUP data must complete the HCUP Data Use Agreement (DUA) Training Course and sign an HCUP DUA before receipt of the data.  +
Dct:title Health Care and Cost Utilization Project  +
Foaf:page https://www.hcup-us.ahrq.gov/  +
Geographic area USA  +
Methods in publications ANOVA  + , Bagging  + , Boosting  + , Bootstrap  + , CART Algorithm  + , Cox Regression  + , Decision Tree Model  + , EM Algorithm  + , F-Ratio  + , Feature Selection Algorithm  + , Genetic Algorithm  + , Gini Index  + , Group Average  + , Linear And Logistic Regression  + , Linear Discriminant Analysis  + , Logistic Regression  + , Multivariable Analysis  + , Multivariable Logistic Regression  + , Multivariable Regression  + , Naive Bayes  + , Neural Network Algorithm  + , Perceptron  + , Poisson Regression  + , Principal Component Analysis  + , Regression Model  + , Shapiro-Wilk Test  + , Support Vector Machine  + , Survival Analysis  + , Wilcoxon  + , Association Rule Mining  + , Cochran-Armitage Trend Test  + , Ensemble Learning  + , F Test  + , Fisher's Exact Test  + , Inverse Probability Weighting  + , Kaplan-Meier Survival Analysis  + , Kolmogorov-Smirnov  + , Kruskal-Wallis Test  + , Lasso Logistic Regression  + , Linear Regression  + , Mann-Whitney U Test  + , Propensity Score Matching  + , Simple Linear Regression  + , Stepwise Logistic Regression  + , Wald Test  + , Chi-Squared Test  + , T-Test  + , Propensity-Matched Analysis  + , Ordinary-Least-Squares Regression  + , Student-Newman-Keuls Test  + , Chi-square Test  + , Chi-square  + , Chi Square  + , Apriori  + , T-test  + , Wilcoxon Rank-sum Test  + , Chi-squared Test  + , Chi-squared  + , Analysis Of Variance  + , F-test  + , Logistic Regression Model  + , Chi2  + , PEARSON CORRELATION COEFFICIENT  + , T Test  + , Linear Regression Model  + , Proportional Hazards  + , Hazard Model  + , Part Model  + , Shapiro Wilk Test  + , Chi Square Test  + , PART METHOD  + , Chisquare  + , Cox Proportional Hazards  + , Fisher Exact Test  + , Wilcoxon Sign Rank Test  + , Classification Model  + , Random Forests  + , Kaplan-Meier Survival  + , Propensity Score Analysis  + , Pearson R  + , Proportional Hazards Regression  + , Mann-Whitney  + , Fishers Exact Test  + , Wilcoxon Rank Sum Test  + , Levenes Test  + , Chisquared  + , KruskalWallis Test  + , CochranArmitage Trend Test  + , Chi Squared  + , Nearest Neighbor  + , Wilcoxon Signed-rank Test  + , Paired T-test  + , Chi Squared Test  + , Log-rank Test  + , Cox Model  + , Ftest  + , Kruskal-Wallis  + , Pearsons R  + , Mann-Whitney U-test  + , CochranArmitage Test  + , Cochrane-Armitage Test  + , MannWhitney  + , Chisquare Test  + , MannWhitneyWilcoxon  + , Cochran-Armitage Test  + , Wilcoxon Signed Rank Test  + , KruskalWallis  + , Cochran Armitage Test  + , McNemar's Test  + , Cochran Armitage Test For Trend  + , Pearsons Rho  + , Deep Learning  + , McNemars Test  + , K-nearest Neighbor  + , K-NN  + , Chisquared Test  + , Cochran-Armitage Test For Trend  + , Kruskal Wallis  + , Cochrane Armitage Test  + , Feature Selection Method  + , Paired T Test  + , Ttest  + , Multivariable Cox Proportional Hazards  + , KaplanMeier Survival  + , Kruskal Wallis Test  + , Log Rank Test  + , Neural Network Model  + , Wilcoxon-Mann-Whitney Test  + , CHAID  + , K-means  + , CART Method  + , Wilcoxon Ranksum Test  + , Minimum Variance  + , Chi- Squared  + , Mann Whitney U Test  + , McNemar Test  + , Levene Test  + , KaplanMeier Survival Analysis  + , Mann Whitney  + , Information Gain  + , T -test  + , Kolmogorov Smirnov  +
PPI 52.1  +
Patient type US patient  +
Pav:hasCurrentVersion HCUP v0 +
Publication number 620  +
Rdf:type dctypes:Dataset  +
Top methods in publications Logistic Regression (57.91%), Chi-Squared Test (48.44%), Linear Regression (20.24%), T-Test (18.03%), Regression Model (15.61%), ANOVA (9.87%), Poisson Regression (9.06%), Cox Regression (7.45%), Mann-Whitney U Test (7.35%), Bootstrap (4.23%)  +
Has query
"Has query" is a predefined property that represents meta information (in form of a subobject) about individual queries.
HCUP + , HCUP +
Categories Summary Level
Modification date
This property is a special property in this wiki.
3 April 2018 14:12:41  +
hide properties that link here 
HCUP v0 + Dct:isVersionOf
Descriptive Stats + , Introduction to Logistic Regression + , R, a powerful tool + For Dataset
 

 

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