'Predictive accuracy' presentation slideshows

Validation of Predictive Classifiers

Validation of Predictive Classifiers. Richard Simon, D.Sc. Chief, Biometric Research Branch National Cancer Institute http://linus.nci.nih.gov/brb. Biomarker =Biological Measurement. Surrogate endpoint

656 views • 53 slides

Professor Raj Chetty Head Section Leader Rebecca Toseland

Using Big Data To Solve Economic and Social Problems. Professor Raj Chetty Head Section Leader Rebecca Toseland. Photo Credit: Florida Atlantic University. Forecasting Flu Outbreaks Using Google Search Data. Data to be predicted: 1,152 observations from CDC on flu incidence

467 views • 46 slides

The Role of Biomarkers in the Management of Sepsis

The Role of Biomarkers in the Management of Sepsis. The Case of Rory Staunton. SIRS. The Spectrum of Sepsis. Code Sepsis at the John Peter Smith Hospital. Incidence and Burden of Sepsis in the United States. Incidence and Burden of Severe Sepsis.

991 views • 40 slides

Brandon L. Young, MA, PHR Manager of Testing and Measurement

The Real Power of Employee Tests and Assessments. Brandon L. Young, MA, PHR Manager of Testing and Measurement. Agenda. The business need Evidence of ROI Achieving ROI Measuring/Communicating ROI. What is a Test?.

554 views • 40 slides

Micro dosing

529 views • 27 slides

Carrie Bennette (on behalf of Andrew Vickers) University of Washington

How do we know whether a marker or model is any good? A discussion of some simple decision analytic methods. Carrie Bennette (on behalf of Andrew Vickers) University of Washington. Overview of talk. Marker research in cancer: state of the science

359 views • 25 slides

Carrie Bennette on behalf of Andrew Vickers

How do we know whether a marker or model is any good? A discussion of some simple decision analytic methods. Carrie Bennette on behalf of Andrew Vickers Pharmaceutical Outcomes Research and Policy Program (PORPP) University of Washington. Overview of talk.

327 views • 25 slides

Chapter 6: Multiple Linear Regression

Chapter 6: Multiple Linear Regression. Data Mining for Business Intelligence Shmueli, Patel & Bruce. Topics. Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors.

433 views • 24 slides

Observational Medical Outcomes Partnership

Patient-centered observational analytics: New directions toward studying the effects of medical products Patrick Ryan on behalf of OMOP Research Team May 22, 2012. Observational Medical Outcomes Partnership.

351 views • 23 slides

Predicting patterns of biological performance using chemical substructure features

252 views • 16 slides

14 th Annual Meeting of the Connective Tissue Oncology Society November 13-15, 2008, London, UK

14 th Annual Meeting of the Connective Tissue Oncology Society November 13-15, 2008, London, UK. Stage Specific Outcomes of Patients with Uterine Leiomyosarcoma: A Comparison of FIGO and AJCC Staging Systems. Oliver Zivanovic, Mario M. Leitao, Alexia Iasonos, Lindsay M. Jacks, Qin Zhou,

411 views • 16 slides

Multivariate Data Analysis Chapter 7 - Conjoint Analysis

Multivariate Data Analysis Chapter 7 - Conjoint Analysis. MIS 6093 Statistical Method Instructor: Dr. Ahmad Syamil. Chapter 7 What Is Conjoint Analysis? . A Hypothetical Example of Conjoint Analysis An Empirical Example The Managerial Uses of Conjoint Analysis

1.04k views • 14 slides

CSE 634/590 Data mining Extra Credit:

CSE 634/590 Data mining Extra Credit:. Submitted By: Moieed Ahmed 106867769. Original Data. Converted Data. Generating 1-itemset Frequent Pattern. Compare candidate support count with minimum support count. Scan D for count of each candidate. C1. L1.

212 views • 13 slides

CSE 634/590 Data mining Extra Credit:

CSE 634/590 Data mining Extra Credit:. Submitted By: Moieed Ahmed 106867769. Original Data. Converted Data. Generating 1-itemset Frequent Pattern. Compare candidate support count with minimum support count. Scan D for count of each candidate. C1. L1.

260 views • 13 slides

Comparing Predictive Accuracy and Correct Classification

Comparing Predictive Accuracy and Correct Classification Yaacov Petscher, Barbara Foorman, Leilani Saez, Anne Bishop, & Christopher Schatschneider The Florida State University Florida Center for Reading Research. Method. Abstract. Introduction.

108 views • 1 slides