Analysis of proportions from clustered data with missing observations in a matched-pair design

Methods of Information in Medicine

Volumn 43, Issue 5, 2004, Pages 521-524

  Schwenke, Carsten ^a   Nevalainen, J ^a  

^a BAYER PHARMA AG   (Germany)

Author keywords

Binary outcomes; Clustered data; Matched pair; Missing data

Indexed keywords

CONFERENCE PAPER; COVARIANCE; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; HUMAN; LIVER DISEASE; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS;

EID: 11144342745     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1633910     Document Type: Conference Paper

References (6)

1. Ahn C. An evaluation of methods for the estimation of sensitivity and specificity of site specific diagnostic tests. Biometrical Journal 1997; 39: 793-807.
2. Obuchowski N. On the Comparison of Correlated Proportions for Clustered Data. Stat In Med 1998; 17: 1495-1507.
3. Rao JNK, Scott AJ. A simple method for the analysis of clustered binary data. Biometrics 1992; 48: 577-85.
4. Schwenke C, Kaufmann J. Analysis of blinded reader studies: Correlated proportions for clustered data with repeated measurements, 2003. Proceedings of the American Statistical Association, Biometrics section [CD-ROM], Alexandria, VA: American Statistical Association.
5. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. BIOMETRIKA 1986; 73: 13-22.
6. ICH Topic E9. Note for guidance on statistical principles for clinical trials. International Conference on Harmonisation 1998.