Year |
Citation |
Score |
2020 |
Coffman DL, Zhou J, Cai X. Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure. Bmc Medical Research Methodology. 20: 168. PMID 32586271 DOI: 10.1186/S12874-020-01053-4 |
0.301 |
|
2018 |
Mennis J, Mason M, Coffman DL, Henry K. Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. International Journal of Environmental Research and Public Health. 15. PMID 30518164 DOI: 10.3390/Ijerph15122740 |
0.302 |
|
2018 |
Coffman DL, Zhou J, Cai X, Graham JW. Addressing missing data in confounders when estimating propensity scores for continuous exposures Health Services and Outcomes Research Methodology. 18: 265-286. DOI: 10.1007/S10742-018-0191-6 |
0.345 |
|
2017 |
Henneberger AK, Coffman DL, Gest SD. The Effect of Having Aggressive Friends on Aggressive Behavior in Childhood: Using Propensity Scores to Strengthen Causal Inference. Social Development (Oxford, England). 26: 295-309. PMID 28553013 DOI: 10.1111/Sode.12186 |
0.321 |
|
2016 |
Zhu Y, Ghosh D, Coffman DL, Savage JS. Estimating controlled direct effects of restrictivefeeding practices in the 'Early dieting in girls' study. Journal of the Royal Statistical Society. Series C, Applied Statistics. 65: 115-130. PMID 27182090 DOI: 10.1111/Rssc.12109 |
0.331 |
|
2015 |
Zhu Y, Schonbach M, Coffman DL, Williams JS. Variable selection for propensity score estimation via balancing covariates. Epidemiology (Cambridge, Mass.). 26: e14-5. PMID 25643109 DOI: 10.1097/Ede.0000000000000237 |
0.311 |
|
2015 |
Van Hook J, Bachmeier JD, Coffman DL, Harel O. Can we spin straw into gold? An evaluation of immigrant legal status imputation approaches. Demography. 52: 329-54. PMID 25511332 DOI: 10.1007/S13524-014-0358-X |
0.317 |
|
2014 |
Ford DW, Hartman TJ, Still C, Wood C, Mitchell DC, Bailey R, Smiciklas-Wright H, Coffman DL, Jensen GL. Diet quality and body mass index are associated with health care resource use in rural older adults. Journal of the Academy of Nutrition and Dietetics. 114: 1932-8. PMID 24746773 DOI: 10.1016/J.Jand.2014.02.016 |
0.305 |
|
2014 |
Lippold MA, Coffman DL, Greenberg MT. Investigating the potential causal relationship between parental knowledge and youth risky behavior: a propensity score analysis. Prevention Science : the Official Journal of the Society For Prevention Research. 15: 869-78. PMID 24292890 DOI: 10.1007/S11121-013-0443-1 |
0.302 |
|
2014 |
Butera NM, Lanza ST, Coffman DL. A framework for estimating causal effects in latent class analysis: is there a causal link between early sex and subsequent profiles of delinquency? Prevention Science : the Official Journal of the Society For Prevention Research. 15: 397-407. PMID 23839479 DOI: 10.1007/S11121-013-0417-3 |
0.343 |
|
2013 |
Lanza ST, Coffman DL, Xu S. Causal Inference in Latent Class Analysis. Structural Equation Modeling : a Multidisciplinary Journal. 20: 361-383. PMID 25419097 DOI: 10.1080/10705511.2013.797816 |
0.36 |
|
2012 |
Coffman DL, Zhong W. Assessing mediation using marginal structural models in the presence of confounding and moderation. Psychological Methods. 17: 642-64. PMID 22905648 DOI: 10.1037/A0029311 |
0.351 |
|
2012 |
Coffman DL, Kugler KC. Causal mediation of a human immunodeficiency virus preventive intervention. Nursing Research. 61: 224-30. PMID 22551997 DOI: 10.1097/Nnr.0B013E318254165C |
0.319 |
|
2012 |
Coffman DL, Caldwell LL, Smith EA. Introducing the at-risk average causal effect with application to HealthWise South Africa. Prevention Science : the Official Journal of the Society For Prevention Research. 13: 437-47. PMID 22477557 DOI: 10.1007/S11121-011-0271-0 |
0.32 |
|
2011 |
Coffman DL. Estimating Causal Effects in Mediation Analysis using Propensity Scores. Structural Equation Modeling : a Multidisciplinary Journal. 18: 357-369. PMID 22081755 DOI: 10.1080/10705511.2011.582001 |
0.341 |
|
2009 |
Maydeu-Olivares A, Kramp U, García-Forero C, Gallardo-Pujol D, Coffman D. The effect of varying the number of response alternatives in rating scales: Experimental evidence from intra-individual effects Behavior Research Methods. 41: 295-308. PMID 19363170 DOI: 10.3758/Brm.41.2.295 |
0.303 |
|
2007 |
Coffman DL, Patrick ME, Palen LA, Rhoades BL, Ventura AK. Why do high school seniors drink? Implications for a targeted approach to intervention. Prevention Science : the Official Journal of the Society For Prevention Research. 8: 241-8. PMID 17963040 DOI: 10.1007/S11121-007-0078-1 |
0.312 |
|
2006 |
Maydeu-Olivares A, Coffman DL. Random intercept item factor analysis. Psychological Methods. 11: 344-62. PMID 17154751 DOI: 10.1037/1082-989X.11.4.344 |
0.341 |
|
2006 |
Cai L, Maydeu-Olivares A, Coffman DL, Thissen D. Limited-information goodness-of-fit testing of item response theory models for sparse 2 tables. The British Journal of Mathematical and Statistical Psychology. 59: 173-94. PMID 16709285 DOI: 10.1348/000711005X66419 |
0.453 |
|
2006 |
Coffman DL, Millsap RE. Evaluating latent growth curve models using individual fit statistics Structural Equation Modeling. 13: 1-27. DOI: 10.1207/S15328007Sem1301_1 |
0.332 |
|
2005 |
Coffman DL, MacCallum RC. Using Parcels to Convert Path Analysis Models Into Latent Variable Models. Multivariate Behavioral Research. 40: 235-59. PMID 26760108 DOI: 10.1207/S15327906Mbr4002_4 |
0.61 |
|
2005 |
Coffman DL, MacCallum RC. Using parcels to convert path analysis models into latent variable models Multivariate Behavioral Research. 40: 235-259. DOI: 10.1207/s15327906mbr4002_4 |
0.569 |
|
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