Sas stat transfer excel long text field
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Indeed, cells left empty in Excel spreadsheets, for example, will be interpreted as missing data by most statistical programs. The coding of missing data often does not receive special attention, which is often benign They can arise from many sources, such as refusal to answer, omission, missing by design, etc.
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In practice, missing data almost always occur in clinical projects We will still suggest a few hints in Section 5 to reduce problems further down the line, at the statistician’s end. If for some reason you still prefer to enter alphanumeric values (we can imagine that sometimes it saves some time and/or is less error-prone at data entry), So that creating numeric codes for all possibilities becomes too cumbersome. Reason for non-adherence to medication, etc - and even in these cases, only when the number of possible answers is large, in comment variables - reason for withdrawal from experiment,
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(In fact, the alphanumeric variables can be used, but only after some preprocessing that can be time consuming and hence expensive.)Ĭharacter entries should be used for descriptive purposes only, e.g. gender=F or M) directly in statistical models. Leading to misinterpretation of two equivalent answers as being different, and above all greatly facilitates the use of the variables in statistical models,Īs most statistical packages cannot use character variables (that is, variables taking alphanumeric values, e.g. This avoids the occurrence of typographical errors in entering literal answers, Data should be reduced to numeric codes whenever possible.