A simulation study of sample size for multilevel logistic regression models

BMC Medical Research Methodology

Volumn 7, Issue , 2007, Pages

  Moineddin, Rahim ^b,c,d   Matheson, Flora I ^a,b   Glazier, Richard H ^a,b,c,d  

^a ST MICHAEL'S HOSPITAL   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CORRELATION COEFFICIENT; HEALTH CARE SYSTEM; LOGISTIC REGRESSION ANALYSIS; OUTCOME ASSESSMENT; PARAMETER; PREVALENCE; SAMPLE SIZE; SIMULATION; COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; METHODOLOGY; STATISTICAL MODEL;

COMPUTER SIMULATION; HUMANS; LOGISTIC MODELS; OUTCOME ASSESSMENT (HEALTH CARE); PREVALENCE; SAMPLE SIZE; SAMPLING STUDIES; SELECTION BIAS;

EID: 34548301106     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-7-34     Document Type: Article

References (21)

1. REL Faris HW Dunham, Mental disorders in urban areas: an ecological study of schizophrenia and other psychoses, Chicago, University of Chicago Press, Dunham HW, 1939
2. CR Shaw HD McKay, Juvenile delinquency and urban areas;: a study of rates of delinquency in relation to differential characteristics of local communities in American cities Chicago, University Press, McKay HD, 1969
3. Invited Commentary: Advancing Theory and Methods for Multilevel Models of Residential Neighborhoods and Health. P O'Campo, Am J Epidemiol 2003 157 9 13 10.1093/aje/kwf171 12505885
4. Robustness issues in multilevel regression analysis. CJM Maas JJ Hox, Statistica Neerlandica 2004 58 127 137 10.1046/j.0039-0402.2003.00252.x
5. JJ Hox, Multilevel analysis: techniques and applications Mahwah, N.J., Lawrence Erlbaum Publishers 2002
6. Standard Errors and Sample Sizes for 2-Level Research. TAB Snijders RJ Bosker, Journal of Educational Statistics 1993 18 237 259 10.2307/1165134
7. AH Leyland H Goldstein, Multi-Level Modeling of Health Statistics London, John Wiley 2001
8. Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change. SW Raudenbush XF Liu, Psychological Methods 2001 6 387 401 11778679
9. Statistical and substantive inferences in public health: Issues in the application of multilevel models. JB Bingenheimer SW Raudenbush, Annual Review of Public Health 2004 25 53 77 10.1146/annurev.publhealth.25.050503.153925 15015912
10. Using multilevel models to analyze couple and family treatment data: Basic and advanced issues. DC Atkins, Journal of Family Psychology 2005 19 98 110 10.1037/0893-3200.19.1.98 15796656
11. Sufficient Sample Sizes for Multilevel Modeling. CJM Maas JJ Hox, Methodology: European Journal of Research Methods for the Behavioral and Social Sciences 2005 1 85 91 10.1027/1614-2241.1.3.86
12. The Effect of Multicollinearity on Multilevel Modeling Parameter Estimates and Standard Errors. YY Shieh RT Fouladi, Educational and Psychological Measurement 2003 63 951 985 10.1177/0013164403258402
13. Multilevel Modeling and Practice-Based Research. LM Dickinson A Basu, Ann Fam Med 2005 3 S52 S60 15928220 10.1370/afm.340
14. Bias in Penalized Quasi-Likelihood Estimation in Random Effects Logistic Regression Models When the Random Effects are not Normally Distributed. PC Austin, Communications in Statistics: Simulation & Computation 2005 34 549 565 10.1081/SAC-200068364
15. The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey. N Sastry B Ghosh-Dastidar J Adams AR Pebley, California, RAND 2003 Working Paper Series 03-21 1 55
16. H Goldstein, Multilevel statistical models New York, Distributed in the United States of America by Oxford University Press 3rd ed. 2003
17. Multilevel Modeling for Binary Data. G Guo H Zhao, Annual Review of Sociology 2000 26 441 462 10.1146/annurev.soc.26.1.441
18. An Assessment of Estimation Procedures for Multilevel Models with Binary Responses. G Rodriguez N Goldman, Journal of the Royal Statistical Society Series A (Statistics in Society) 1995 158 73 89 10.2307/2983404
19. Improved estimation procedures for multilevel models with binary response: a case-study. G Rodriguez N Goldman, Journal of the Royal Statistical Society: Series A (Statistics in Society) 2001 164 339 355 10.1111/1467-985X. 00206
20. Performance of likelihood-based estimation methods for multilevel binary regression models. M Callens C Croux, Journal of Statistical Computation and Simulation 2005 75 1003 1017 10.1080/00949650412331321070
21. Are multilevel techniques necessary? An overview, including simulation studies. IGG Kreft, 1996