PPT-A macro for Single Imputation

Xingshu Zhu Shuping Zhang Merck Co Inc PhilaSUG 2016 Our area of focus SPHERE S cientific Programming for P ublications H ealth Economics Statistics E arly Development Statistics. I.Wasito. . Faculty of Computer Science. University of Indonesia. . F. aculty of Computer Science (Fasilkom), University of indonesia. . at a glance. Initiated . as the . C. enter . of Computer Science (. 1. STAT . 541. ©. Spring 2012 Imelda Go, John Grego, Jennifer . Lasecki. and the University of South Carolina. 2. Creating a Macro Variable During DATA Step Execution. . Important Reminder: %LET statements are . María. . García. , Chandra Erdman, and Ben Klemens. Outline. Background on the Survey of Income and Program Participation (SIPP). Methods for missing data imputation. - . Randomized Hot deck. - SRMI . Macro:. A commonly used group of statements.. Macro Processors (MP):. Expands macros, . i.e. , each macro reference is replaced by its corresponding group of the statements. Examples:. SAVEREGS. LOADREGS. The macro macro: Example 1: purge the exact duplicates; use student name as a selected variable to check for partial duplicates; do not perform partial duplicate purge; print report %str(na Katherine Lee. Murdoch Children’s Research Institute &. University of Melbourne. Missing data in epidemiology & clinical research. Widespread problem, especially in long-term follow-up studies. Matt Spangler. University of Nebraska-Lincoln. Imputation. Imputation creates data that were not actually collected . I. mputation allows us to retain observations that would otherwise be left out of an analysis. Walter Leite. College of Education. University of Florida. Burak. Aydin. Recep. . Tayyip. . Erdo. ğ. an. University. Turkey. Sungur. . Gurel. Siirt. . University. Turkey. Duygu. Cetin-Berber. Meaning. Scope. Importance. Limitations. Features. Assumptions. Relation between Micro and Macro Economics. Difference between Micro and Macro Economics. Meaning of Macro Economics. The word Macro has origin in Greek word Macros which means large.. Simulated . Galaxy Cluster Project . : . What can we suggest?. Cui . Weiguang. *. , Power Chris, . Borgani. Stefano, et al. . @NAOC. 20/10/2016. Cui et al. 2016a (. MNRAS, 456, 2566. ), . Cui et al. 2016b (. WHI using reference haplotypes from the 1000 Genomes Project. Presented by Qing Duan. Dr. Yun Li group. UNC at Chapel Hill. 09-13-2012. Outline. Imputation. Study samples: WHI African Americans and Hispanics samples. HUDK5199. Spring term, 2013. March 13, 2013. Today’s Class. Imputation in Prediction. Missing Data. Frequently, when collecting large amounts of data from diverse sources, there are missing values for some data sources. Boulder 2015. What is imputation? . (. Marchini. & . Howie. 2010). . 3 main reasons for imputation. Meta-analysis. Fine Mapping. Combining data from different . chips. Other less common uses. sporadic missing data imputation . Macro variables are an efficient way of replacing text strings in SAS code. The simplest way to define a macro variable is to use the %LET statement to assign the macro variable a name (subject to sta