Regression analysis of multiple source and multiple informant data from complex survey samples.
about
Principles underlying the use of multiple informants' reportsAnalyzing multiple informant data from an evaluation of the health disparities collaboratives.Multiple indicator hidden Markov model with an application to medical utilization data.Statistical Approaches to Modeling Multiple Outcomes In Psychiatric StudiesJoint modeling of missing data due to non-participation and death in longitudinal aging studiesHierarchical multiple informants models: examining food environment contributions to the childhood obesity epidemic.Childhood maltreatment, emotional distress, and early adolescent sexual intercourse: multi-informant perspectives on parental monitoringAssessing eating disorder symptoms in adolescence: is there a role for multiple informants?Analysis of partially observed clustered data using generalized estimating equations and multiple imputation.The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information modelsDiet and nondiet predictors of urinary 3-phenoxybenzoic acid in NHANES 1999-2002A maximum likelihood latent variable regression model for multiple informants.Racial/Ethnic Differences in Insomnia Trajectories Among U.S. Older AdultsModulation of endogenous antioxidant defense and the progression of kidney disease in multi-heritage groups of patients with type 2 diabetes: PRospective EValuation of Early Nephropathy and its Treatment (PREVENT)Witnessed violence and youth behavior problems: a multi-informant studyResearch Methods in Child Disaster Studies: A Review of Studies Generated by the September 11, 2001, Terrorist Attacks; the 2004 Indian Ocean Tsunami; and Hurricane Katrina.A trifactor model for integrating ratings across multiple informants.Research Review: Multi-informant integration in child and adolescent psychopathology diagnosis.Employee performance in the knowledge economy: Capturing the keys to success.Comparison of Accelerometry Methods for Estimating Physical Activity.Maximum likelihood estimation of marginal pairwise associations with multiple source predictorsWhich elderly newly diagnosed glioblastoma patients can benefit from radiotherapy and temozolomide? A PERNO prospective study.Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.Perceptions of neighborhood collective efficacy moderate the impact of maltreatment on aggression.Samurai Sudoku-Based Space-Filling Designs for Data Pooling
P2860
Q27000160-C07106FE-DFE7-4DF6-8A65-37AAEF08A9EEQ31105468-BB48BBEF-E87B-419F-B18D-3BF7FB746F8EQ33383338-DF038EBB-16E6-403D-9EE2-88C462476514Q33560172-9844D123-7301-46FF-A4F0-7D55D611EE9AQ33636537-115C31BA-989D-4CC7-9ED0-D1C05E49A269Q33920787-6EC4D680-9DB9-462D-8E1C-E08F8084BC83Q34217362-E29576CC-24D7-47FD-94F2-F7F04591098EQ34281370-7C6272B4-2CAD-4FAC-BCEB-23991C52B21EQ35012552-FB66F861-2BA0-4513-A068-A9A2526C94FCQ35526236-D036AF15-4810-4C35-8A6E-26663F6BD558Q36838226-98699773-3AF9-420C-95C3-857C478EC8ECQ36926077-9C50FF5F-31FE-46B9-B63D-2E982A13C419Q37123747-3B20384D-7155-4EF6-B3E0-0017634D5D06Q37151933-6D1F331B-2F35-4259-BEF0-66DE0D3DD505Q37417460-9668C4B9-3789-46A4-937A-2DE6447116E5Q37483233-816F9BA2-4EAF-4B4B-8DE4-CC6AC87D6533Q37661724-421E10B6-517E-4C93-A4CA-E9F851F054D6Q38834408-683F5136-435B-48F9-B592-CA79B7475991Q39182103-17D3D197-8D95-4152-99F1-9FF2D4A942BDQ39276484-391F1F27-9F36-49CF-9885-B8A0476A0569Q41897343-960220EB-EA6B-48D8-83A0-94127610E3FDQ48859349-6A56BF60-70F4-4118-A590-D374145CFFAAQ49925882-080343D3-1E62-48E5-85E8-0A512DAF5AECQ50272622-1534EC42-CDBB-4B00-9E2B-44CADBAD9D7CQ58251939-5C648348-818F-4A10-89DB-6B1C4FA8DB2E
P2860
Regression analysis of multiple source and multiple informant data from complex survey samples.
description
2004 nî lūn-bûn
@nan
2004 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Regression analysis of multipl ...... a from complex survey samples.
@ast
Regression analysis of multipl ...... a from complex survey samples.
@en
type
label
Regression analysis of multipl ...... a from complex survey samples.
@ast
Regression analysis of multipl ...... a from complex survey samples.
@en
prefLabel
Regression analysis of multipl ...... a from complex survey samples.
@ast
Regression analysis of multipl ...... a from complex survey samples.
@en
P356
P1476
Regression analysis of multipl ...... a from complex survey samples.
@en
P2093
Garrett M Fitzmaurice
P304
P356
10.1002/SIM.1879
P407
P577
2004-09-01T00:00:00Z