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Multilevel model
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#	Item
191	Package ‘arm’ August 27, 2014 Version[removed]Date[removed]Title Data Analysis Using Regression and Multilevel/Hierarchical Models Author Andrew Gelman [aut],Yu-Sung Su [aut, cre],Masanao Yajima [ctb],Jennifer Hill Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-27 04:58:05 Econometrics Actuarial science Data analysis Logistic regression Generalized linear model Logit Probit Ordered logit Normal distribution Statistics Regression analysis Categorical data
192	Understanding and Applying Multilevel Models in Maternal and Child Health Epidemiology and Public Health Adam C. Carle, M.A., Ph.D. [removed] Division of Health Policy and Clinical Effectiveness Add to Reading List Source URL: www.childhealthdata.org Language: English - Date: 2015-02-26 03:03:02 Psychometrics Demography Public health Epidemiology Multilevel model Sampling Intelligence quotient Science Statistics Statistical models Health
193	Qixuan Chen (Columbia University) Bayesian post-stratification models using multilevel penalized spline regression Post-stratification is a standard approach to account for differences between survey samples and its targ Add to Reading List Source URL: www.crm.umontreal.ca Language: English - Date: 2014-05-20 16:07:48 Econometrics Statistical methods Actuarial science Regression analysis Stratified sampling Spline Variance Estimation theory Multilevel model Statistics Statistical models Statistical inference
194	Utilization of the Community Health Worker Model to Address Cancer Disparities: A Multilevel Framework B Rivers, PhD, MPH2; M Standifer, MPH1,5; S Dickerson2,5; Jenna Davis, MPH2; Leslene Gordon, PhD, RD, LD/N3; Denise K Add to Reading List Source URL: centerforequalhealth.org Language: English - Date: 2013-06-04 12:57:52 Community health worker Medical sociology Health equity National Institute on Minority Health and Health Disparities Prostate cancer University of North Texas Health Science Center at Fort Worth Medicine Health Health promotion
195	Explaining differences in mathematics and reading achievement among Standard 6 pupils in Kenya: Emerging policy issues Thuku, F.W. (Egerton University, Kenya) Hungi, N. Add to Reading List Source URL: www.sacmeq.org Language: English - Date: 2013-05-13 11:24:26 Multilevel model Intelligence quotient Stephen Raudenbush Statistical models Statistics Hierarchical linear modeling
196	Understanding and Applying Multilevel Models in Maternal and Child Health Epidemiology and Public Health Adam C. Carle, M.A., Ph.D. [removed] Division of Health Policy and Clinical Effectiveness Add to Reading List Source URL: childhealthdata.org Language: English - Date: 2015-02-26 03:03:02 Psychometrics Demography Public health Epidemiology Multilevel model Sampling Intelligence quotient Science Statistics Statistical models Health
197	Multilevel Analysis: An Applied Introduction Don Hedeker Division of Epidemiology & Biostatistics Institute for Health Research and Policy School of Public Health University of Illinois at Chicago Add to Reading List Source URL: webcast.hrsa.gov Language: English - Date: 2010-12-06 09:35:00 Regression analysis Data analysis Scientific method Hierarchical linear modeling Linear regression Multilevel model Cluster analysis Random effects model Variance Statistics Statistical models Analysis of variance
198	Multilevel Models for Clustered Dichotomous Outcomes Don Hedeker University of Illinois at Chicago www.uic.edu/∼hedeker/ml.html Add to Reading List Source URL: webcast.hrsa.gov Language: English - Date: 2010-12-06 09:41:00 Econometrics Statistical models Actuarial science Logistic regression Ordered logit Logit Probit model Probit Odds Statistics Regression analysis Categorical data
199	Microsoft Word - Lecture04_part01.docx Add to Reading List Source URL: webcast.hrsa.gov Language: English - Date: 2010-12-21 13:55:00 Econometrics Design of experiments Regression analysis Multilevel model Variance Repeated measures design Linear regression Crossover study Interaction Statistics Analysis of variance Statistical models
200	Estimating the scope for governmental interventions to improve education performance The objective of this study is to analyse what policies the government can adopt in order to improve educational performance. The Educa Add to Reading List Source URL: www.clevelandfed.org Language: English - Date: 2004-10-08 11:09:46 Linear regression Teacher education Statistics Analysis of variance Multilevel model

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