Search Results - subject:"missing data"

Comparing Predictive Values of Two diagnostic tests

Cho, Yoonjin - 2009

Positive and negative predictive values are important measures of accuracy whenone compares the accuracy of diagnostic tests. When more than one diagnostic tests areavailable, one may has to choose one of the possible diagnostic tests due to cost, time, orethical reason. We consider a pair study...

Persistent link: https://www.econbiz.de/10009431153

Improving Efficiency and Robustness of Doubly Robust Estimators in the Presence of Coarsened Data

Cao, Weihua - 2009

Considerable recent interest has focused on doubly robust estimatorsfor a population mean response in the presence of incomplete data,which involve models for both the propensity score and the regressionof outcome on covariates. The ``usual" doubly robust estimator mayyield severely biased...

Persistent link: https://www.econbiz.de/10009431215

Model selection criteria in the presence of missing data based on the Kullback-Leibler discrepancy

Sparks, JonDavid - 2009

used in making inferences and predictions. Missing data is a very common occurrence in most research settings and can … errors in the presence of missing data;however, few methods exist for determining the actual structural form of a modelwhen … that can be used in the presence of missing data. The criteria are developed by accounting for missing data using …

Persistent link: https://www.econbiz.de/10009466074

Efficient probit estimation with partially missing covariates

Conniffe, Denis; O'Neill, Donal - 2009

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity …

Persistent link: https://www.econbiz.de/10010269313

Fehlende Daten beim Record Linkage von Prozess- und Befragungsdaten: Ein empirischer Vergleich ausgewählter Missing Data Techniken

Krug, Gerhard - 2009

Zum Vergleich ausgewählter Missing Data Techniken nutzt dieses Papier eine Befragung, in der u. a. die Zustimmung zum …

Persistent link: https://www.econbiz.de/10010271194

A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables

Keane, Michael P.; Sauer, Robert M. - 2009

results show that the rarely used Polya model, which is very difficult to estimate given missing data problems, fits the data …

Persistent link: https://www.econbiz.de/10010271244

A generalization of Tyler's M-estimators to the case of incomplete data

Frahm, Gabriel; Jaekel, Uwe - 2009

, where the missing data are assumed to be MCAR, MAR, and NMAR. …

Persistent link: https://www.econbiz.de/10010304422

Some Topics in Missing Data and Adaptive Confidence Intervals. Some Topics in Missing Data and Adaptive Confidence Intervals.

Zhou, Yan - 2009

When data are missing at random, the missing-data mechanism can be ignored but this assumption is not always intuitive … for general patterns of missing data. In part I, we consider maximum likelihood (ML) estimation for a non …

Persistent link: https://www.econbiz.de/10009476653

Mixed-Effect Hybrid Models for Longitudinal Data with Nonignorable Dropout

Yuan, Ying; Little, Roderick J. A. - 2009

Selection models and pattern-mixture models are often used to deal with nonignorable dropout in longitudinal studies. These two classes of models are based on different factorizations of the joint distribution of the outcome process and the dropout process. We consider a new class of models,...

Persistent link: https://www.econbiz.de/10009477334

The comparability of Census 1996, Census 2001 and Community Survey 2007

Yu, Derek - Department of Economics, Fakulteit Ekonomiese en … - 2009

Census 1996 and Census 2001 are the only all-inclusive censuses conducted by Statistics South Africa (Stats SA) under the new democratic dispensation, providing information on demographics, educational attainment, migration status, labour market status, economic activities, income, housing, and...

Persistent link: https://www.econbiz.de/10004987317