SAS log

The SAS code you wrote would eliminate the observation for subjectid=102. This is because the aeyn field is not populated for that row and is therefore eliminated by the WHERE clause in SAS. This is a classic parent-child data problem in clinical trial data, where the parent question is left unanswered but the child response is given. A way to handle this problem would be either to include the aetext field in the WHERE clause or to add a warning to the SAS log. The code in Program 1.4 does both. 

What you want is the actual DATA step code that SAS writes behind the scenes to import the data. That code can be found in the Log window when the PROC IMPORT executes. For Program 3.4, the SAS log looks like this ... 

At this point, it is a simple exercise to copy the contents of this SAS log into the SAS Program Editor and make the changes that you want. In this case, at a minimum the INFORMAT value on lab test should be increased from 14 to 20. If PROC IMPORT does not import the ASCII text file precisely as you want, it will get you 99% of the way to the desired result and leave you with a way to make the finishing touches by modifying the SAS code written to the SAS log. 

Then go to your SAS log to see what tables the SAS procedure makes. Each block of text in your SAS listing output typically translates into a SAS data set in ODS. You can see what each table is called by looking at the Output Added blocks in your SAS log. These blocks look something like this ... 

Q Output [Untitled) r] Log [Untitled] Editor Untitled1 [ SAS limpon Oclwni-... 

Note that the term censor is introduced in the preceding table. The log-rank test (invoked in SAS with PROC LIFETEST) and the Cox proportional hazards model (invoked in SAS with PROC PHREG) allow for censoring observations in a time-to-event analysis. These tests adjust for the fact that at some point a patient may no longer be able to experience an event. The censor date is the last known time that the patient did not experience a given event and the point at which the patient is no longer considered able to experience the event. Often the censor date is the last known date of patient follow-up, but a patient could be censored for other reasons, such as having taken a protocol-prohibited medication. 

Rh Ljib gj Expkfg [ 0 Output - (Untitled) ] Log - (Untitled) 1 3 eKport options,sas SAS Export Delirni,... 

Within the series of methylbenzenes, the effect of the methyl groups is very well reproduced by this relationship. Using the values for the squares of the coefficients and the experimental -values, — 8a/j8 is found to have a value of 0-4. On taking hyperconjugation into account in the case of m-xylene, Sa/)3 is found to have a value of 0-08, which does not explain the difference logiT—log. o = 6 5 (Mackor et al., 1958b). 

Statistical Analysis. Analysis of variance (ANOVA) of toxicity data was conducted using SAS/STAT software (version 8.2 SAS Institute, Cary, NC). All toxicity data were transformed (square root, log, or rank) before ANOVA. Comparisons among multiple treatment means were made by Fisher s LSD procedure, and differences between individual treatments and controls were determined by one-tailed Dunnett s or Wilcoxon tests. Statements of statistical significance refer to a probability of type 1 error of 5% or less (p s 0.05). Median lethal concentrations (LCjq) were determined by the Trimmed Spearman-Karber method using TOXSTAT software (version 3.5 Lincoln Software Associates, Bisbee, AZ). 

In 2007, Wichmann et al. [47] applied several COSMO-RS cr-moments as descriptors to model PPB. Unlike the above-mentioned PPB models, which predicted %PPB directly, Wichmann et al. built up a QSAR model to predict human serum albumin binding, log Kt SA (logarithm of %bound/%free), instead. The performance of the log K isa model was reasonable given only four... 

Generally speaking, PPB is an easier ADME-Tox property to be modeled in comparison to HIA and bioavailability. The prediction errors were only marginally larger than the experimental errors (Wang s model and Moda s model). When PPB is expressed as log Kt SA, the RMSEs were about 0.35 to 0.45. 

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