Table of Contents Inference on Relational Models Diagnostic, Prognostic, and Therapeutic Questions.. Evaluating BBNs Predictive Power 384 Interacting with Medical BBNs/Disease Models Defining and Exploring Structure Expressing Queries and Viewing Results Discussion and Applications 389 aive Bayes… Imaging Applications Querying and Problem-centric BBN Visualization Visual Query Interface.. AneurysmDB References CHAPTER 10: EVALUATION Biostatistics and Study Design: A Primer. Statistical Concepts 403 Confidence Intervals Significance and Hypothesis Testing Assessing Errors and Performance udy Design Types of Study Designs 410 Study Variable Selection and Population Definition 412 Population Size: Sample Size and Power Calculations 413 Study Bias and Error 41 Decision Making 418 Regression Analysis 418 Informatics Evaluation 420 Evaluating Information Retrieval Systems Information nee 421 Relevance Evaluation metrics… 424 Medical Content-based Image Retrieval Evaluation Assessing Usabilit Evaluation Techniques............. Discussion.… 433 References 434 NDEXxxii Table of Contents Inference on Relational Models .................................................................................. 380 Diagnostic, Prognostic, and Therapeutic Questions.................................................... 381 Evaluating BBNs................................................................................................. 383 Predictive Power ......................................................................................................... 383 Sensitivity Analysis ...................................................................................................... 384 Interacting with Medical BBNs/Disease Models ............................................... 386 Defining and Exploring Structure ................................................................................ 386 Expressing Queries and Viewing Results..................................................................... 387 Discussion and Applications............................................................................. 389 Naïve Bayes ....................................................................................................... 390 Imaging Applications ......................................................................................... 391 Querying and Problem-centric BBN Visualization ............................................. 392 Visual Query Interface ................................................................................................ 392 AneurysmDB ............................................................................................................... 396 References....................................................................................................... 398 CHAPTER 10: EVALUATION.............................................................................403 Biostatistics and Study Design: A Primer .......................................................... 403 Statistical Concepts ........................................................................................... 403 Confidence Intervals ................................................................................................... 403 Significance and Hypothesis Testing ........................................................................... 404 Assessing Errors and Performance.............................................................................. 407 Study Design ...................................................................................................... 409 Types of Study Designs ............................................................................................... 410 Study Variable Selection and Population Definition ................................................... 412 Population Size: Sample Size and Power Calculations ................................................ 413 Study Bias and Error.................................................................................................... 416 Meta-analysis.............................................................................................................. 417 Decision Making ................................................................................................ 418 Regression Analysis..................................................................................................... 418 Decision Trees............................................................................................................. 419 Informatics Evaluation..................................................................................... 420 Evaluating Information Retrieval Systems......................................................... 421 Information Needs ...................................................................................................... 421 Relevance.................................................................................................................... 423 Evaluation Metrics ...................................................................................................... 424 Medical Content-based Image Retrieval Evaluation ................................................... 426 Assessing Usability............................................................................................. 428 Evaluation Techniques ................................................................................................ 429 Discussion........................................................................................................ 433 References....................................................................................................... 434 INDEX ........................................................................................................439