'Multiple imputation' diaporamas de présentation

Missing Data in Randomized Control Trials

Missing Data in Randomized Control Trials. John W. Graham The Prevention Research Center and Department of Biobehavioral Health Penn State University. IES/NCER Summer Research Training Institute, July 2008. jgraham@psu.edu. Sessions in Four Parts. (1) Introduction: Missing Data Theory

1.04k views • 82 slides

Handling Missing Data

Handling Missing Data. Estie Hudes Tor Neilands UCSF Center for AIDS Prevention Studies March 16, 2007. Presentation Overview. Overview of concepts and approaches to handling missing data Missing data mechanisms - how data came to be missing

1.68k views • 71 slides

Repetition Multiple imputation

Repetition Multiple imputation. Ziad Taib Biostatistics, AZ May 20, 2009. Data set with missing values. Completed set. Result. General principles. Informal justification. The algorithm (Estimation). Pooling information. MI in practice. A simulation-based approach to missing data.

912 views • 68 slides

Least-squares imputation of missing data entries

Least-squares imputation of missing data entries . I.Wasito Faculty of Computer Science University of Indonesia. F aculty of Computer Science (Fasilkom), University of indonesia at a glance.

695 views • 60 slides

746 views • 59 slides

Do Trauma Centers Save Lives?

Do Trauma Centers Save Lives?. A Statistical Solution Daniel O. Scharfstein. Collaborators. Brian Egleston Ciprian Crainiceanu Zhiqiang Tan Tom Louis. Issues. Outcome Dependent Sampling Missing Data Confounding Direct Adjustment Propensity Score Weighting Propensity Model Selection

638 views • 51 slides

Do Trauma Centers Save Lives?

Do Trauma Centers Save Lives?. A Statistical Solution Daniel O. Scharfstein. Collaborators. Brian Egleston Ciprian Crainiceanu Zhiqiang Tan Tom Louis. Issues. Outcome Dependent Sampling Missing Data Confounding Direct Adjustment Propensity Score Weighting Propensity Model Selection

714 views • 51 slides

Advanced Methods and Analysis for the Learning and Social Sciences

595 views • 50 slides

General Structural Equations (LISREL)

761 views • 40 slides

General Structural Equations (LISREL)

641 views • 40 slides

Beyond Statistical Significance: Using Stata Post-Estimation Procedures to Examine Substantive Effects

821 views • 33 slides

453 views • 31 slides

Testing the performance of the two-fold FCS algorithm for multiple imputation of longitudinal clinical records

Testing the performance of the two-fold FCS algorithm for multiple imputation of longitudinal clinical records. Catherine Welch 1 , Irene Petersen 1 , Jonathan Bartlett 2 , Ian White 3 , Richard Morris 1 , Louise Marston 1 , Kate Walters 1 , Irwin Nazareth 1 and James Carpenter 2

464 views • 27 slides

Statistical Methods for Missing Data

Roberta Harnett MAR 550 October 30, 2007. Statistical Methods for Missing Data. Outline. When do we see missing data? Types of missing data Traditional approaches Deletion Substitution Modern Approaches Maximum likelihood and Bayes Software. Missing Data.

883 views • 25 slides

General Methods for Missing Data

General Methods for Missing Data. John M. Abowd March 2005. Outline. General principles Missing at random Weighting procedures Imputation procedures Hot decks Introduction to model-based procedures. General Principles.

232 views • 22 slides

Adults and adolescents living with HIV, Georgia , 2012

Viral load distribution 2012 among persons l iving w ith HIV and persons newly diagnosed Georgia, 2011 . Adults and adolescents living with HIV, Georgia , 2012 . Adults and adolescents >= age 13, diagnosed by 09/30/2011, living 12/31/2012, Georgia = 46,495

317 views • 22 slides

Topic (ii): New and Emerging Methods

UNECE Work Session on Statistical Data Editing Paris, France, 28-30 April 2014. Topic (ii): New and Emerging Methods. Introduction. Maria Garcia (USA) Jeroen Pannekoek (Netherlands). Topic (ii): New and Emerging Methods.

322 views • 18 slides

Analyzing Surveys

Analyzing Surveys. Marcos Carzolio Associate Collaborator for LISA PhD Student Department of Statistics, VT. Laboratory for Interdisciplinary Statistical Analysis. Outline. Data Cleaning and Preprocessing Outlier Detection Missing Value Imputation Visualizing and Understanding Data

320 views • 17 slides

House Prices & Household Debt

242 views • 15 slides

MISSING DATA

372 views • 12 slides