Search Results - subject:"missing data"

Rates of Missing Responses in Personal Digital Assistant (PDA) Versus Paper Assessments

Palen, Lori-Ann; Graham, John W.; Smith, Edward A.; … - In: Evaluation Review 32 (2008) 3, pp. 257-272

This article describes rates of missing item responses in personal digital assistant (PDA) assessments as compared to paper assessments. Data come from the evaluation of a classroom-based leisure, life skills, and sexuality education program delivered to high school students in Cape Town, South...

Persistent link: https://www.econbiz.de/10010802561

Análisis del crecimiento en las manufacturas mexicanas. El problema de los datos perdidos (1929-1934)

Palmero, Angulo; Humberto, Jesús; Peón, Guillermo; … - In: El Trimestre Económico LXXV (2) (2008) 298, pp. 471-518

The present paper focuses on the potential bias in growth estimation generated by the problem of missing data (or data … bias in estimates based on these data sets will depend on how important the proportion of missing data is. Hence, one of … the main tasks on this paper is to examine how important the missing data problem is for each sector of Mexican …

Persistent link: https://www.econbiz.de/10005009904

A Monte Carlo EM algorithm for the estimation ofÂ aÂ logistic auto-logistic model with missing data

Bee, Marco; Espa, Giuseppe - In: Letters in Spatial and Resource Sciences 1 (2008) 1, pp. 45-54

Persistent link: https://www.econbiz.de/10005012314

A cautionary case study of approaches to the treatment of missing data

Paul, Christopher; Mason, William; McCaffrey, Daniel; … - In: Statistical Methods and Applications 17 (2008) 3, pp. 351-372

Persistent link: https://www.econbiz.de/10005596316

On composite marginal likelihoods

Varin, Cristiano - In: AStA Advances in Statistical Analysis 92 (2008) 1, pp. 1-28

Persistent link: https://www.econbiz.de/10005598082

A Monte Carlo EM algorithm for the estimation of a logistic auto-logistic model with missing data

Bee, Marco; Espa, Giuseppe - In: AStA Wirtschafts- und Sozialstatistisches Archiv 1 (2008) 1, pp. 45-54

Persistent link: https://www.econbiz.de/10005598172

Amputation versus imputation of missing values through ratio method in sample surveys

Toutenburg, H.; Srivastava, V.; Shalabh - In: Statistical Papers 49 (2008) 2, pp. 237-247

Persistent link: https://www.econbiz.de/10008486786

Two-Sample Tests of Area-Under-the-Curve in the Presence of Missing Data

Spritzler, John; DeGruttola, Victor; Pei, Lixia - In: International Journal of Biostatistics 4 (2008) 1, pp. 1068-1068

The commonly used two-sample tests of equal area-under-the-curve (AUC), where AUC is based on the linear trapezoidal rule, may have poor properties when observations are missing, even if they are missing completely at random (MCAR). We propose two tests: one that has good properties when data...

Persistent link: https://www.econbiz.de/10005246574

Pattern Mixture Models and Latent Class Models for the Analysis of Multivariate Longitudinal Data with Informative Dropouts

Dantan, Etienne; Proust-Lima, Cécile; Letenneur, Luc; … - In: International Journal of Biostatistics 4 (2008) 1, pp. 1088-1088

Missing data and especially dropouts frequently arise in longitudinal data. Maximum likelihood estimates are consistent …

Persistent link: https://www.econbiz.de/10005246584

Missing Confounding Data in Marginal Structural Models: A Comparison of Inverse Probability Weighting and Multiple Imputation

Moodie, Erica; Delaney, Joseph; Lefebvre, Geneviève; … - In: International Journal of Biostatistics 4 (2008) 1, pp. 1106-1106

measurements. This may lead to biased estimates of the treatment effect and loss of precision. The issue of missing data for … little has been done to compare different missing data techniques in this relatively new method of analysis. We propose a … in most practical cases where the missing data are strongly predicted by the available data. Inverse probability …

Persistent link: https://www.econbiz.de/10005246592