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Positive predictive value
Results: 65

#	Item
41	A Comprehensive Assessment of Claims-Based Algorithms for Identifying Individuals with Diabetes Changchun Wang MS1, David Gilbertson PhD1, Jiannong Liu PhD1, Cheryl Arko BA1, Shu-cheng Chen MS1, Marshall McBean MD MSc1,2 Add to Reading List Source URL: www.usrds.org Language: English - Date: 2005-11-17 08:10:26 Bioinformatics Cheminformatics Sensitivity and specificity Statistical theory N1 road Positive predictive value Statistics Biostatistics Medical statistics
42	Performance of Local Light Microscopy and the ParaScreen Pan/Pf Rapid Diagnostic Test to Detect Malaria in Health Centers in Northwest Ethiopia Tekola Endeshaw1, Patricia M. Graves2, Berhan Ayele1, Aryc W. Mosher2, Tesho Add to Reading List Source URL: www.cartercenter.org Language: English - Date: 2012-04-27 13:01:21 Categorical data Malaria Epidemiology Prevalence Microscopy Negative predictive value Positive predictive value Plasmodium Sensitivity and specificity Statistics Biostatistics Medical statistics
43	CAPTURE Falls Test Performance Worksheet To calculate the sensitivity, specificity, and predictive value of your fall risk assessment tool: 1. Retrospectively identify the medical records and other existing data (e.g. Add to Reading List Source URL: www.unmc.edu Language: English - Date: 2014-10-27 15:12:12 Negative predictive value Positive predictive value Type I and type II errors Accuracy and precision Statistics Biostatistics Sensitivity and specificity
44	CAPTURE Collaboration and Proactive Teamwork Used to Reduce Falls Monthly Collaborative Call #3 Add to Reading List Source URL: www.unmc.edu Language: English - Date: 2014-10-27 15:12:12 Categorical data Bioinformatics Cheminformatics Sensitivity and specificity Negative predictive value Positive predictive value Type I and type II errors Risk Pre- and post-test probability Statistics Biostatistics Medical statistics
45	A ppendix 2 Additional FDA Analysis for Protocol 20063: The reader study was evaluated to compare the sensitivity and specificity of MelaFind to the average sensitivity and average specificity of biopsy/referral of all t Add to Reading List Source URL: www.fda.gov Language: English Statistical theory Categorical data Evidence-based medicine Negative predictive value Likelihood ratios in diagnostic testing Sensitivity and specificity Melanoma Accuracy and precision Positive predictive value Statistics Biostatistics Medical statistics
46	A ppendix 2 Additional FDA Analysis for Protocol 20063: The reader study was evaluated to compare the sensitivity and specificity of MelaFind to the average sensitivity and average specificity of biopsy/referral of all t Add to Reading List Source URL: www.fda.gov Language: English Statistical theory Categorical data Evidence-based medicine Negative predictive value Likelihood ratios in diagnostic testing Sensitivity and specificity Melanoma Accuracy and precision Positive predictive value Statistics Biostatistics Medical statistics
47	Advances in Identifying Beryllium Sensitization and Disease Add to Reading List Source URL: stacks.cdc.gov Language: English - Date: 2014-10-23 04:12:49 Biostatistics Occupational safety and health Berylliosis Sensitivity and specificity Screening Positive predictive value Beryllium poisoning Statistics Chemistry Beryllium
48	FEAM SPRING CONFERENCE[removed]May 2013 Public health implications of predictive genetic testing for complex diseases Add to Reading List Source URL: www.feam-site.eu Language: English - Date: 2013-09-21 03:51:52 Medical tests Categorical data Evidence-based medicine Sensitivity and specificity Positive predictive value Pre- and post-test probability Screening Prevalence Negative predictive value Statistics Medical statistics Biostatistics
49	Microsoft PowerPoint[removed]File003 [Compatibility Mode] Add to Reading List Source URL: www.sads.ca Language: English - Date: 2013-03-12 16:03:39 Categorical data Medical statistics Electrodiagnosis Hypertrophic cardiomyopathy Electrocardiography Negative predictive value Positive predictive value Wolff–Parkinson–White syndrome Prevalence Statistics Biostatistics Cardiac electrophysiology
50	Screening: Can OCT Imaging be Used to Differentiate Normal from Glaucomatous Eyes in the General Population? Anne L. Coleman, MD, PhD The Fran and Ray Stark Professor of Add to Reading List Source URL: www.fda.gov Language: English Statistical theory Psychometrics Categorical data Sensitivity and specificity Positive predictive value Screening Prevalence Accuracy and precision Validity Statistics Biostatistics Medical statistics