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Geoff Der's Applied medical statistics using SAS PDF

By Geoff Der

''Adding themes worthwhile to scientific statisticians, this re-creation of a favored intermediate-level reference explores using SAS for studying clinical facts. a brand new bankruptcy on visualizing information incorporates a distinct account of pics for investigating information and smoothing suggestions. The publication additionally contains new chapters on dimension in drugs, epidemiology/observational reports, meta-analysis, Bayesian equipment, and Read more...

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BODYFAT'. This is because work is the libref pointing to the directory where temporary SAS data sets are stored. SAS automatically sets up this directory when it starts and deletes the directory and its contents when SAS is closed. To use the SAS explorer window to examine the contents of a temporary data set, or its variables, double click on libraries in the explorer window and then double click on work. , db in the previous example). 8 Reading Data from an Existing SAS Data Set To read data from a SAS data set, rather than from a raw data file, the set statement is used in place of the infile and input statements.

The dsd option deals with this, too, by ignoring commas within quotes and removing the quotes from the data values. The missover option is also recommended for CSV files to prevent SAS going to a new line where the last value on a data line is missing (see example in Chapter 14). CSV files may also contain the names of the variables as the first line of the file. To skip this line when reading the data, use the firstobs=2 option. Thus, the recommended form of infile statement is infile 'filename' dsd missover; or infile 'filename' dsd missover firstobs=2; where the variable names are on the first line.

Only observations for which the condition is true are included in the data set being created: data women; set bodyfat; if sex='F'; run; The statement where sex='F'; has the same form and could be used to the same effect. The difference between the subsetting if statement and the where statement will not concern most users, except that the where statement may also be used with proc steps as discussed below. More complex conditions may be specified on either statement in the same way as for an if then statement.

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