design effect

17 papers and 1 presentation; 18 titles.

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Conference ×	Year ×	Title ×	Authors	Extras	Pages
PHUSE EU	2020	Re-scaling Weights to Effective Sample Size [presentation]	Andrea Parodi, Dimitri Petratchenko	source video	25
SGF	2020	%SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building	David R. Nelson, Siew Wong-Jacobson	source	20
SGF	2017	Choose Carefully! An Assessment of Different Sample Designs on Estimates of Official Statistics	Leesha Delatie-Budair, Jessica Campbell	source	14
SGF	2015	An Introductory Overview of the Features of Complex Survey Data	Taylor Lewis	source	22
MWSUG	2013	Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ	Taylor Lewis		20
MWSUG	2011	Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans	Trent D. Buskirk		13
NESUG	2009	Analyzing MCBS Data with PROC SURVEYFREQ: The Maybe Cheesy but Simple Approach	Christine E. Leonard		19
SGF	2009	Extreme Survey Weight Adjustment as a Component of Sample Balancing (a.k.a. Raking)	David Izrael, Michael P. Battaglia, Martin Frankel	source	10
SGF	2007	Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software	Bethany A. Kromrey, Jeffrey D. Bell-Ellison	source	10
SUGI	2006	The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures	Katherine L. Baisden, Paul Hu	source	11
WUSS	2004	The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures	Katherine L. Baisden	source	20
WUSS	2003	The Quandary of Survey Data: Comparison of SAS Procedures and SUDAAN Procedures	Katherine L. Baisden	source	6
WUSS	1997	Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro	Jesse Albert Canchola, Brian D. Marx, Joseph A. Catania	source	10
SUGI	1997	LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys	Jesse Albert Canchola, Brian D. Marx, Joseph A. Catania	source	6
WUSS	1995	Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions	Jennifer Lee, Chul W. Ahn	source	3
WUSS	1993	Using SAS Software to Implement a Simple Method for the Analysis of Clustered Binary Data	Tamara Odom-Maryon, Chul W. Ahn	source	5
NESUG	1992	Methods to Display a Y*X=Z/OVERLAY Picture	Jessica Chan, Julie A. Smith		5
SUGI	1985	Comparison of Variance Estimation Methods for Complex Sample Designs Under Extreme Conditions	Edward L. Spitznagel	source	5

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