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	1.	Type I Error Rates For A One Factor Within-Subjects Design With Missing Values. [electronic resource] by Padilla, Miguel A Algina, James Publication details: Journal of modern applied statistical methods : JMASM Nov 2004 In: Journal of modern applied statistical methods : JMASM vol. 3 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome. [electronic resource] by Zhang, Yujia Crawford, Sara Boulet, Sheree L Monsour, Michael Cohen, Bruce McKane, Patricia Freeman, Karen Publication details: Journal of modern applied statistical methods : JMASM 2017 In: Journal of modern applied statistical methods : JMASM vol. 16 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Covariate-Adjusted Constrained Bayes Predictions of Random Intercepts and Slopes. [electronic resource] by Lyles, Robert H Moore, Reneé H Manatunga, Amita K Easley, Kirk A Publication details: Journal of modern applied statistical methods : JMASM May 2009 In: Journal of modern applied statistical methods : JMASM vol. 8 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	4.	Semiparametric Mixed Models for Nested Repeated Measures Applied to Ambulatory Blood Pressure Monitoring Data. [electronic resource] by Szczesniak, Rhonda D Li, Dan Amin, Raouf S Publication details: Journal of modern applied statistical methods : JMASM 2016 In: Journal of modern applied statistical methods : JMASM vol. 15 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	5.	Multiple Imputation When Rate of Change is the Outcome of Interest. [electronic resource] by Desai, Manisha Mitani, Aya A Bryson, Susan W Robinson, Thomas Publication details: Journal of modern applied statistical methods : JMASM May 2016 In: Journal of modern applied statistical methods : JMASM vol. 15 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6.	Statistical Power of Alternative Structural Models for Comparative Effectiveness Research: Advantages of Modeling Unreliability. [electronic resource] by Coman, Emil N Iordache, Eugen Dierker, Lisa Fifield, Judith Schensul, Jean J Suggs, Suzanne Barbour, Russell Publication details: Journal of modern applied statistical methods : JMASM May 2014 In: Journal of modern applied statistical methods : JMASM vol. 13 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7.	Simulation Procedure in Periodic Cancer Screening Trials. [electronic resource] by Wu, Dongfeng Wu, Xiaoqin Banicescu, Ioana Cariño, Ricolindo L Publication details: Journal of modern applied statistical methods : JMASM Nov 2005 In: Journal of modern applied statistical methods : JMASM vol. 4 Availability: No items available. Save to lists Add to cart (remove)
	8.	A Spline-Based Lack-Of-Fit Test for Independent Variable Effect in Poisson Regression. [electronic resource] by Li, Chin-Shang Tu, Wanzhu Publication details: Journal of modern applied statistical methods : JMASM May 2007 In: Journal of modern applied statistical methods : JMASM vol. 6 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	9.	A Monte Carlo Power Analysis of Traditional Repeated Measures and Hierarchical Multivariate Linear Models in Longitudinal Data Analysis. [electronic resource] by Fang, Hua Brooks, Gordon P Rizzo, Maria L Espy, Kimberly A Barcikowski, Robert S Publication details: Journal of modern applied statistical methods : JMASM 2008 In: Journal of modern applied statistical methods : JMASM vol. 7 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	10.	Compound Identification Using Penalized Linear Regression on Metabolomics. [electronic resource] by Liu, Ruiqi Wu, Dongfeng Zhang, Xiang Kim, Seongho Publication details: Journal of modern applied statistical methods : JMASM May 2016 In: Journal of modern applied statistical methods : JMASM vol. 15 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)