Bias arising from missing data in predictive models

Journal of Clinical Epidemiology

Volumn 59, Issue 10, 2006, Pages 1115-1123

  Gorelick, Marc H ^a  

^a MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Bias; Forecasting; Logistic models; Missing data; Monte Carlo method; Risk assessment

Indexed keywords

ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; CHILD; FEVER; FORECASTING; HOSPITAL ADMISSION; HUMAN; HUMAN CELL; IMPUTATION; INTERVENTION STUDY; LEUKOCYTE COUNT; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MISSING DATA; MONTE CARLO METHOD; NORMAL VALUE; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; SIMULATION; STATISTICAL MODEL; VALIDATION PROCESS;

ADOLESCENT; BIAS (EPIDEMIOLOGY); CHILD; CHILD, PRESCHOOL; EMERGENCIES; EMERGENCY SERVICE, HOSPITAL; EPIDEMIOLOGIC METHODS; FEVER; HOSPITALIZATION; HUMANS; INFANT; INFANT, NEWBORN; LEUKOCYTE COUNT;

EID: 33748555150     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2004.11.029     Document Type: Article

References (13)

1. In: Iezzoni L.I. (Ed). Risk adjustment for measuring healthcare outcomes. 2nd edition. (1997), Health Administration Press, Chicago, IL
2. Knaus W.A., Wagner D.P., Draper E.A., Zimmerman J.E., Bergner M., Bastos P.G., et al. The APACHE III prognostic system: risk prediction of hospital mortality for critically ill hospitalized adults. Chest 100 (1991) 1619-1636
3. Pollack M.M., Patel K.M., and Ruttimann U.E. PRISM III: an updated pediatric risk of mortality score. Crit Care Med 24 (1996) 743-752
4. Chamberlain J.M., Patel K.M., Ruttimann U.E., and Pollack M.M. Pediatric risk of admission (PRISA): a measure of severity of illness for assessing the risk of hospitalization from the emergency department. Ann Emerg Med 32 (1998) 161-169
5. Chamberlain J.M., Patel M.H., and Pollack M.M. The Pediatric Risk of Hospital Admission score: a second-generation severity-of-illness measure for pediatric emergency patients. Pediatrics 115 (2005) 388-395
6. Gorelick M.H., Lee C., Cronan K., Kost K., and Palmer K. Pediatric emergency assessment tool (PEAT): a risk-adjustment measure for pediatric emergency patients. Acad Emerg Med 8 (2001) 156-162
7. Little R.J.A., and Rubin D.B. Statistical analysis with missing data (1987), John Wiley & Sons, New York
8. Norris C.M., Ghali W.A., Knudtson M.L., Naylor C.D., and Saunders L.D. Dealing with missing data in observational health care outcome analyses. J Clin Epidemiol 53 (2000) 377-383
9. Jaffe D.M., and Fleisher G.R. Temperature and total white blood cell count as indicators of bacteremia. Pediatrics 87 (1991) 670-674
10. StataCorp. Stata statistical software: release 8.0 (2003), Stata Corporation, College Station, TX 120-125
11. Little R.J.A. Regression with missing X's: a review. J Am Stat Assoc 87 (1992) 1227-1237
12. Pollack M.M., Patel K.M., Ruttimann U., and Cuerdon T. Frequency of variable measurement in 16 pediatric intensive care units: influence on accuracy and potential for bias in severity of illness assessment. Crit Care Med 24 (1996) 74-77
13. Faris P.D., Ghali W.A., Brant R., Norris C.M., Galbraith P.D., Knudtson M.L., and for the APPROACH investigators. Multiple imputation versus data enhancement for dealing with missing data in observational health care outcome analyses. J Clin Epidemiol 55 (2002) 184-191