logging in or signing up Introduction to Applied Biostatistics mmour Download Post to : URL : Related Presentations : Let's Connect Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 97 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: April 26, 2012 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Advanced biostatistics in clinical research: Advanced biostatistics in clinical researchAnalysis of clustered data: Analysis of clustered data Examples Repeated measures of individual patients Measures of different patients treated by the same doctorRepeated measures are often correlated: Repeated measures are often correlated A patient’s measurements will tend to run high (or low) over time Patients managed by the same physician may be managed more similarly than patients managed by different physiciansCommon objectives: Common objectives Describe changes in the response over time Understand how the changes are related to covariates of interestPaired t-test: Stable characteristics do not confound results: Paired t-test: Stable characteristics do not confound results Lecture 1: Fixed effects modelsExtensions of fixed effects models: Extensions of fixed effects models What if there is one pre- and two post-measurements? What if there are four measurements but no treatment (a comparison of two trends over time)PowerPoint Presentation: Which is best? Lecture 2: Discrete choice modelsLecture 2: Discrete time logistic regression: Lecture 2: Discrete time logistic regressionOral treatment to reduce blood lead levels: Oral treatment to reduce blood lead levels Lecture 3: Introduction to longitudinal analysis and repeated measures analysisPowerPoint Presentation: Lecture 4: Clinical examples of longitudinal analysis and repeated measures analysisLecture 5: competing risks: Lecture 5: competing risksLecture 6: multi-state models: Lecture 6: multi-state modelsLecture 7: overview of multi-level models: Lecture 7: overview of multi-level modelsLecture 8: Clinical examples of multi-level models: Lecture 8: Clinical examples of multi-level models Multi-membership model Example: patients (t’s) seeing different patients (m’s)PowerPoint Presentation: Lecture 9: Discrete time multi-process modelsSemivariance: Semivariance Lecture 10: Overview of spatial analysisInterpolated map: Interpolated mapSpatial analysis: Spatial analysisNearest neighborhood analysis: Nearest neighborhood analysisClinical accessibility: Clinical accessibility Lecture 11: Selected applications using spatial analysisExamine distributions: Examine distributionsStatistically adjusted mortality rates: Statistically adjusted mortality ratesLecture 12: Overview of structural equation modeling: Lecture 12: Overview of structural equation modelingLatent variables f1 and f2 Predictors x1, x2, and x3: Latent variables f1 and f2 Predictors x1, x2, and x3Lecture 13: Growth models using structural equation models: Lecture 13: Growth models using structural equation modelsParallel growth processes: Parallel growth processesLatent class analysis: Latent class analysis Lecture 14: Advanced topics using structural equation modelsProstate specific antigen and development prostate cancer: Prostate specific antigen and development prostate cancerMultilevel latent variables: Multilevel latent variablesLecture 15: Intensive longitudinal designs : Lecture 15: Intensive longitudinal designs Urges to smoke in a smoking cessation program Participants were beeped on approximately 250 occasions on a handheld palmtop computer When beeped they answered a questionnaire on their current setting and activities, and their mood and urges to smokePowerPoint Presentation: Regulation of intimacy and disclosure in marriageCoupled trajectories: Coupled trajectories You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.