-
1
-
-
0001275824
-
From clinical research to secondary prevention: International collaboration in the development of the Alcohol Use Disorders Identification Test (AUDIT)
-
T.F.Babor,, & M.Grant, (1989). From clinical research to secondary prevention: International collaboration in the development of the Alcohol Use Disorders Identification Test (AUDIT). Alcohol Health & Research World, 13, 371–374.
-
(1989)
Alcohol Health & Research World
, vol.13
, pp. 371-374
-
-
Babor, T.F.1
Grant, M.2
-
2
-
-
0003419556
-
-
2nd, Geneva, Switzerland: World Health Organization Department of Mental Health and Substance Abuse
-
T.F.Babor,, J.C.Higgins-Biddle,, J.B.Saunders,, & M.G.Monteiro, (2001). The Alcohol Use Disorders Identification Test: Guidelines for use in primary care (ed.)2nd. Geneva, Switzerland: World Health Organization Department of Mental Health and Substance Abuse.
-
(2001)
The Alcohol Use Disorders Identification Test: Guidelines for use in primary care (ed.)
-
-
Babor, T.F.1
Higgins-Biddle, J.C.2
Saunders, J.B.3
Monteiro, M.G.4
-
3
-
-
79251641521
-
The harmonization of longitudinal data: A case study using data from cohort studies in the Netherlands and the United Kingdom
-
P.A.Bath,, D.Deeg,, & J.Poppelaars, (2010). The harmonization of longitudinal data: A case study using data from cohort studies in the Netherlands and the United Kingdom. Aging & Society, 30, 1419–1437. doi: 10.1017/S0144686X1000070X
-
(2010)
Aging & Society
, vol.30
, pp. 1419-1437
-
-
Bath, P.A.1
Deeg, D.2
Poppelaars, J.3
-
4
-
-
66349091570
-
Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models
-
D.J.Bauer,, & A.M.Hussong, (2009). Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models. Psychological Methods, 14, 101–125. doi: 10.1037/a0015583
-
(2009)
Psychological Methods
, vol.14
, pp. 101-125
-
-
Bauer, D.J.1
Hussong, A.M.2
-
5
-
-
54049109688
-
What improves with increased missing data imputations?
-
T.E.Bodner, (2008). What improves with increased missing data imputations? Structural Equation Modeling, 15, 651–675. doi: 10.1080/10705510802339072
-
(2008)
Structural Equation Modeling
, vol.15
, pp. 651-675
-
-
Bodner, T.E.1
-
6
-
-
0003802343
-
-
Boca Raton, FL: Chapman and Hall
-
L.Breiman,, J.H.Friedman,, R.A.Olshen,, & C.I.Sone, (1984). Classification and regression trees. Boca Raton, FL: Chapman and Hall.
-
(1984)
Classification and regression trees.
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Sone, C.I.4
-
7
-
-
84875602649
-
Methods for synthesizing findings on moderation effects across multiple randomized trials
-
C.H.Brown,, Z.Sloboda,, F.Faggiano,, B.Teasdale,, F.Keller,, G.Burkhart,, … T.Perrino, (2011). Methods for synthesizing findings on moderation effects across multiple randomized trials. Prevention Science. 14, 144–156. doi: 10.1007/s11121-011-0207-8
-
(2011)
Prevention Science
, vol.14
-
-
Brown, C.H.1
Sloboda, Z.2
Faggiano, F.3
Teasdale, B.4
Keller, F.5
Burkhart, G.6
Perrino, T.7
-
8
-
-
77958547578
-
Multiple imputation for missing data via sequential regression trees
-
L.F.Burgette,, & J.P.Reiter, (2010). Multiple imputation for missing data via sequential regression trees. American Journal of Epidemiology, 172, 1070–1076. doi: 10.1093/aje/kwq260
-
(2010)
American Journal of Epidemiology
, vol.172
, pp. 1070-1076
-
-
Burgette, L.F.1
Reiter, J.P.2
-
9
-
-
77954486112
-
Integrating phenotypic data for depression
-
A.W.Butler,, S.Cohen-Woods,, A.Farmer,, P.McGuffin,, & C.M.Lewis, (2010). Integrating phenotypic data for depression. Journal of Integrative Bioinformatics, 7, 136–145.
-
(2010)
Journal of Integrative Bioinformatics
, vol.7
, pp. 136-145
-
-
Butler, A.W.1
Cohen-Woods, S.2
Farmer, A.3
McGuffin, P.4
Lewis, C.M.5
-
11
-
-
0035755636
-
A comparison of inclusive and restrictive strategies in modern missing-data procedures
-
L.M.Collins,, J.L.Schafer,, & C.M.Kam, (2001). A comparison of inclusive and restrictive strategies in modern missing-data procedures. Psychological Methods, 6, 330–351. doi: 10.1037/1082-989X.6.4.330
-
(2001)
Psychological Methods
, vol.6
, pp. 330-351
-
-
Collins, L.M.1
Schafer, J.L.2
Kam, C.M.3
-
12
-
-
66349113990
-
The relative benefits of meta-analysis conducted with individual participant data versus aggregated data
-
H.Cooper,, & E.A.Patall, (2009). The relative benefits of meta-analysis conducted with individual participant data versus aggregated data. Psychological Methods, 14, 165–176. doi: 10.1037/a0015565
-
(2009)
Psychological Methods
, vol.14
, pp. 165-176
-
-
Cooper, H.1
Patall, E.A.2
-
13
-
-
0029750722
-
The Great Smoky Mountains Study of Youth: Goals, design, methods, and the prevalence of DSM-III-R disorders
-
E.J.Costello,, A.Angold,, B.J.Burns,, D.K.Stangl,, D.L.Tweed,, A.Erkanli,, & C.M.Worthman, (1996). The Great Smoky Mountains Study of Youth: Goals, design, methods, and the prevalence of DSM-III-R disorders. Archives of General Psychiatry, 53, 1129–1136. doi: 10.1001/archpsyc.1996.01830120067012
-
(1996)
Archives of General Psychiatry
, vol.53
, pp. 1129-1136
-
-
Costello, E.J.1
Angold, A.2
Burns, B.J.3
Stangl, D.K.4
Tweed, D.L.5
Erkanli, A.6
Worthman, C.M.7
-
14
-
-
0034559859
-
An estimate of the covariance between variables which are not jointly observed
-
R.Cudeck, (2000). An estimate of the covariance between variables which are not jointly observed. Psychometrika, 65, 539–546. doi: 10.1007/BF02296344
-
(2000)
Psychometrika
, vol.65
, pp. 539-546
-
-
Cudeck, R.1
-
15
-
-
84925695136
-
The incorporation of categorical measurement models in the analysis of individual growth
-
Little T., Bovaird J., Card N., (eds), Mahwah, NJ: Erlbaum
-
P.J.Curran,, M.C.Edwards,, R.J.Wirth,, A.M.Hussong,, & L.Chassin, (2007). The incorporation of categorical measurement models in the analysis of individual growth. In T.Little, J.Bovaird, & N.Card (Eds.), Modeling ecological and contextual effects in longitudinal studies of human development (pp. 89–120). Mahwah, NJ: Erlbaum.
-
(2007)
Modeling ecological and contextual effects in longitudinal studies of human development
, pp. 89-120
-
-
Curran, P.J.1
Edwards, M.C.2
Wirth, R.J.3
Hussong, A.M.4
Chassin, L.5
-
16
-
-
42049120449
-
Pooling data from multiple prospective studies: The role of item response theory in integrative analysis
-
P.J.Curran,, A.M.Hussong,, L.Cai,, W.Huang,, L.Chassin,, K.J.Sher,, & R.A.Zucker, (2008). Pooling data from multiple prospective studies: The role of item response theory in integrative analysis. Developmental Psychology, 44, 365–380. doi: 10.1037/0012-1649.44.2.365
-
(2008)
Developmental Psychology
, vol.44
, pp. 365-380
-
-
Curran, P.J.1
Hussong, A.M.2
Cai, L.3
Huang, W.4
Chassin, L.5
Sher, K.J.6
Zucker, R.A.7
-
17
-
-
66349089005
-
Integrative data analysis: The simultaneous analysis of multiple data sets
-
P.J.Curran,, & A.M.Hussong, (2009). Integrative data analysis: The simultaneous analysis of multiple data sets. Psychological Methods, 14, 81–100. doi: 10.1037/a0015914
-
(2009)
Psychological Methods
, vol.14
, pp. 81-100
-
-
Curran, P.J.1
Hussong, A.M.2
-
18
-
-
84870230938
-
The impact of gene-environment interaction on alcohol use disorders
-
D.M.Dick,, & K.S.Kendler, (2012). The impact of gene-environment interaction on alcohol use disorders. Alcohol Research: Current Reviews, 34, 318–324.
-
(2012)
Alcohol Research: Current Reviews
, vol.34
, pp. 318-324
-
-
Dick, D.M.1
Kendler, K.S.2
-
19
-
-
0025615417
-
Mechanisms in the cycle of violence
-
K.A.Dodge,, J.E.Bates,, & G.S.Pettit, (1990). Mechanisms in the cycle of violence. Science, 250, 1678–1683. doi: 10.1126/science.2270481
-
(1990)
Science
, vol.250
, pp. 1678-1683
-
-
Dodge, K.A.1
Bates, J.E.2
Pettit, G.S.3
-
20
-
-
78149233729
-
Quality, quantity and harmony: The DataSHaPER approach to integrating data across bioclinical studies
-
L.Fortier,, P.R.Burton,, P.J.Robson,, V.Ferretti,, J.Little,, F.L'Heureux,, … T.J.Hudson, (2010). Quality, quantity and harmony: The DataSHaPER approach to integrating data across bioclinical studies. International Journal of Epidemiology, 39, 1383–1393. doi: 10.1093/ije/dyq139
-
(2010)
International Journal of Epidemiology
, vol.39
, pp. 1383-1393
-
-
Fortier, L.1
Burton, P.R.2
Robson, P.J.3
Ferretti, V.4
Little, J.5
L'Heureux, F.6
Hudson, T.J.7
-
22
-
-
84857244266
-
A comparison of item-level and scale-level multiple imputation for questionnaire batteries
-
A.C.Gottschall,, S.G.West,, & C.K.Enders, (2012). A comparison of item-level and scale-level multiple imputation for questionnaire batteries. Multivariate Behavioral Research, 47, 1–25. doi: 10.1080/00273171.2012.640589
-
(2012)
Multivariate Behavioral Research
, vol.47
, pp. 1-25
-
-
Gottschall, A.C.1
West, S.G.2
Enders, C.K.3
-
23
-
-
0030527014
-
Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures
-
J.W.Graham,, S.M.Hofer,, & D.P.MacKinnon, (1996). Maximizing the usefulness of data obtained with planned missing value patterns: An application of maximum likelihood procedures. Multivariate Behavioral Research, 31, 197–218. doi: 10.1207/s15327906mbr3102_3
-
(1996)
Multivariate Behavioral Research
, vol.31
, pp. 197-218
-
-
Graham, J.W.1
Hofer, S.M.2
MacKinnon, D.P.3
-
24
-
-
80051552408
-
-
K.M.Harris,, C.T.Halpern,, E.Whitsel,, J.Hussey,, J.Tabor,, P.Entzel,, & J.R.Udry, (2009). The national longitudinal study of adolescent health: Research design. Retrieved from http://www.cpc.unc.edu/projects/addhealth/design
-
(2009)
The national longitudinal study of adolescent health: Research design
-
-
Harris, K.M.1
Halpern, C.T.2
Whitsel, E.3
Hussey, J.4
Tabor, J.5
Entzel, P.6
Udry, J.R.7
-
25
-
-
0003684449
-
-
2nd, New York, NY: Springer-Verlag
-
T.Hastie,, R.Tibshirani,, & J.Friedman, (2009). The elements of statistical learning (ed.)2nd. New York, NY: Springer-Verlag. doi: 10.1007/978-0-387-84858-7
-
(2009)
The elements of statistical learning (ed.)
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
26
-
-
78649571080
-
Multiple imputation in a large-scale complex survey: A practical guide
-
Y.He,, A.M.Zaslavsky,, D.P.Harrington,, P.Catalano,, & M.B.Landrum, (2010). Multiple imputation in a large-scale complex survey: A practical guide. Statistical Methods in Medical Research, 19, 653–670. doi: 10.1177/0962280208101273
-
(2010)
Statistical Methods in Medical Research
, vol.19
, pp. 653-670
-
-
He, Y.1
Zaslavsky, A.M.2
Harrington, D.P.3
Catalano, P.4
Landrum, M.B.5
-
27
-
-
3042511237
-
-
2nd, New York, NY: Springer-Verlag
-
M.J.Kolen,, & R.L.Brennan, (2004). Test equating, scaling, and linking: Methods and practices (ed.)2nd. New York, NY: Springer-Verlag. doi: 10.1007/978-1-4757-4310-4
-
(2004)
Test equating, scaling, and linking: Methods and practices (ed.)
-
-
Kolen, M.J.1
Brennan, R.L.2
-
28
-
-
21844482248
-
Structural factor analysis experiments with incomplete data
-
J.J.McArdle, (1994). Structural factor analysis experiments with incomplete data. Multivariate Behavioral Research, 29, 409–454. doi: 10.1207/s15327906mbr2904_5
-
(1994)
Multivariate Behavioral Research
, vol.29
, pp. 409-454
-
-
McArdle, J.J.1
-
29
-
-
34147110831
-
Measurement invariance, factor analysis and factorial invariance
-
W.Meredith, (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525–543. doi: 10.1007/BF02294825
-
(1993)
Psychometrika
, vol.58
, pp. 525-543
-
-
Meredith, W.1
-
30
-
-
0002344593
-
A multivariate technique for multiply imputing missing values using a sequence of regression models
-
T.E.Raghunathan,, J.M.Lepkowski,, J.Van Hoewyk,, & P.Solenberger, (2001). A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology, 27, 85–95.
-
(2001)
Survey Methodology
, vol.27
, pp. 85-95
-
-
Raghunathan, T.E.1
Lepkowski, J.M.2
Van Hoewyk, J.3
Solenberger, P.4
-
31
-
-
57249098827
-
Multiple imputation when records used for imputation are not used or disseminated for analysis
-
J.P.Reiter, (2008). Multiple imputation when records used for imputation are not used or disseminated for analysis. Biometrika, 95, 933–946. doi: 10.1093/biomet/asn042
-
(2008)
Biometrika
, vol.95
, pp. 933-946
-
-
Reiter, J.P.1
-
32
-
-
34548704976
-
The importance of the sampling design in multiple imputation for missing data
-
J.P.Reiter,, T.E.Raghunathan,, & S.Kinney, (2006). The importance of the sampling design in multiple imputation for missing data. Survey Methodology, 32, 143–150.
-
(2006)
Survey Methodology
, vol.32
, pp. 143-150
-
-
Reiter, J.P.1
Raghunathan, T.E.2
Kinney, S.3
-
33
-
-
84940952808
-
Statistical matching using file concatenation with adjusted weights and multiple imputation
-
D.B.Rubin, (1986). Statistical matching using file concatenation with adjusted weights and multiple imputation. Journal of Business and Economic Statistics, 4, 87–94.
-
(1986)
Journal of Business and Economic Statistics
, vol.4
, pp. 87-94
-
-
Rubin, D.B.1
-
35
-
-
85047673373
-
Missing data: Our view of the state of the art
-
J.L.Schafer,, & J.W.Graham, (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. doi: 10.1037/1082-989X.7.2.147
-
(2002)
Psychological Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
36
-
-
0032219074
-
Multiple imputation for multivariate missing-data problems: A data analyst's perspective
-
J.L.Schafer,, & M.K.Olsen, (1998). Multiple imputation for multivariate missing-data problems: A data analyst's perspective. Multivariate Behavioral Research, 33, 545–571. doi: 10.1207/s15327906mbr3304_5
-
(1998)
Multivariate Behavioral Research
, vol.33
, pp. 545-571
-
-
Schafer, J.L.1
Olsen, M.K.2
-
38
-
-
9144273200
-
Assessing the effect of model misspecifications on parameter estimates in structural equation models
-
K.-H.Yuan,, L.L.Marshall,, & P.M.Bentler, (2003). Assessing the effect of model misspecifications on parameter estimates in structural equation models. Sociological Methodology, 33, 241–265. doi: 10.1111/j.0081-1750.2003.00132.x
-
(2003)
Sociological Methodology
, vol.33
, pp. 241-265
-
-
Yuan, K.-H.1
Marshall, L.L.2
Bentler, P.M.3
|