Bias in a binary risk behaviour model subject to inconsistent reports and dropout in a South African high school cohort study

Statistics in Medicine

Volumn 28, Issue 3, 2009, Pages 494-509

  Chikobvu, Perpetual ^a,b   Lombard, Carl J ^c   Flisher, Alan J ^a   King, Gary ^d   Townsend, Loraine ^a   Muller, Martie ^e  

^a UNIVERSITY OF CAPE TOWN   (South Africa)

^b UNIVERSITY OF THE FREE STATE   (South Africa)

^c SOUTH AFRICAN MEDICAL RESEARCH COUNCIL   (South Africa)

^d PENNSYLVANIA STATE UNIVERSITY   (United States)

^e UNIVERSITY OF STELLENBOSCH   (South Africa)

Author keywords

Inconsistent reporting; Logistic regression; Partially complete records; Risk behaviour; Transitional patterns

Indexed keywords

ACCURACY; ADOLESCENT; ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; CHILD; CIGARETTE SMOKING; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HIGH RISK BEHAVIOR; HIGH SCHOOL STUDENT; HUMAN; INCIDENCE; INTERMETHOD COMPARISON; INVERSE PROBABILITY WEIGHTING; LOGISTIC REGRESSION COMPLETE RECORD ANALYSIS; MALE; PARTIALLY COMPLETE RECORD ANALYSIS; PROBABILITY; SELF REPORT; SOUTH AFRICA; BEHAVIORAL RESEARCH; EPIDEMIOLOGY; MOTIVATION; SMOKING; THEORETICAL MODEL;

ADOLESCENT; BEHAVIORAL RESEARCH; BIAS (EPIDEMIOLOGY); COHORT STUDIES; FEMALE; HUMANS; MALE; MODELS, THEORETICAL; MOTIVATION; RISK-TAKING; SMOKING; SOUTH AFRICA;

EID: 63049099100     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3482     Document Type: Article

References (23)

1. Bailey SL, Flewelling RL, Rachal JV. The characterization of inconsistencies in self-reports of alcohol and marijuana use in a longitudinal study of adolescents. Journal of Studies on Alcohol 1992; 53:636-647.
2. Bachman JG, O'Malley PM. When four months equal a year: inconsistencies in student reports of drug use. Public Opinion Quarterly 1981; 45:536-548.
3. Weinfurt KP, Bush PJ. Contradictory subject response in longitudinal research. Journal of Studies on Alcohol 1996; 57:273-282.
4. Lipsitz S, Parzen M, Natarajan S, Ibrahim J, Fitzmaurice G. Generalised linear models with a coarsened covariate. Applied Statistics 2004; 53:279-292.
5. Neuhaus JM. Bias and efficiency loss due to misclassified responses in binary regression. Biometrika 1999; 86:843-855.
6. Little RJA. Modelling the drop-out mechanism in repeated-measure studies. Journal of the American Statistical Association 1995; 90:1112-1121.
7. Hogan JW, Roy J, Korkontzelou C. Tutorial in biostatistics: handling drop-out in longitudinal studies. Statistics in Medicine 2004; 23:1455-1497. DOI:10.1002/sim.1728.
8. Conaway MR. The analysis of repeated categorical measurements subject to nonignorable nonresponse. Journal of the American Statistical Association 1992; 87:817-824.
9. Baker SG, Laird MN. Regression analysis for categorical variables with outcome subject to nonignorable nonresponse. Journal of the American Statistical Association 1988; 83:62-69.
10. Fuchs C. Maximum likelihood estimation and model selection in contingency tables with missing data. Journal of the American Statistical Association 1982; 77:270-278.
11. Laird MN. Missing data in longitudinal studies. Statistics in Medicine 1988; 7:305-315.
12. Woolson RF, Clarke WR. Analysis of categorical incomplete longitudinal data. Journal of the Royal Statistical Society, Series A 1984; 147:87-99.
13. Conaway MR. Non-ignorable non-response models for time-ordered categorical variables. Applied Statistics; 42:105-115.
14. Little RJA, Rubin DB. Statistical Analysis with Missing Data. Wiley: New York, 1987; 255.
15. Horton NJ, Lipsitz SR, Parzen M. A potential for bias when rounding in multiple imputation. The American Statistician 1987; 57:229-232. DOI:10.1198/0003130032314.
16. Thomson PC. A hybrid paired and unpaired analysis for the comparison of proportions. Statistics in Medicine 1995; 14:1463-1470.
17. Wolfe R, Carlin JB, Patton GC. Transitions in an imperfectly observed binary variable: depressive symptomatology in adolescents. Statistics in Medicine 2003; 22:427-440. DOI:10.1002/sim.1327.
18. Choi SC, Stablein DM. Practical tests for comparing two proportions with incomplete data. Applied Statistics 1982; 31:256-262.
19. Albert PS. Tutorial in biostatistics: longitudinal data analysis (repeated measures) in clinical trials. Statistics in Medicine 1999; 18:1707-1732.
20. Albert PS. A transitional model for longitudinal binary data subject to nonignorable missing data. Biometrics 2000; 56:602-608.
21. SAS Institute Inc. SAS/STAT Users Guide, Version 8. SAS Institute Inc.: Cary, NC, 1999; 3884.
22. Hudgens MG. Estimating cumulative probabilities from incomplete longitudinal binary responses with application to HIV vaccine trials. Statistics in Medicine 2003; 22:463-479. DOI:10.1002/ sim.1334.
23. Fay RE. Casual models for patterns of nonresponse. Journal of the American Statistical Association 1986; 81:354-365.