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In this lecture ´´Data Handling´´ is explained. Section one is about ‘‘Data Entry’’. Educator gives the instructions of data entry. After that automatic scanning for data entry is proceeded. Then advantages for automated scanning data entry are reported. This is followed by disadvantages for automated scanning data entry.
Names, Labels and Merging Data
Section two is about ‘’Names, Labels and Merging Data’’. Educator discusses that what type of variable names should be used for data handling. Next information is delivered on variable labels. This is followed by value labels. Afterwards, educator tells that how joining data sets is accomplished. Then appending and merging are explained respectively. Moreover, storing and transporting data -paper forms is elaborated. Finally, storing and transporting data - electronic files is highlighted.
Data Entry Checks
Section three is about ‘’Data Entry Checks’’. In the beginning of this section, data entry checks are discussed in detail. After that checking data using the frequency distribution is pursued. Next focus is on checking for consistency. This is followed by checking using a histogram. Lastly, information is conveyed on checking using a scatter plot.
Formal Data Monitoring
Section four is about ‘’Formal Data Monitoring’’. At first, randomized clinical trials are discussed. Then, functions of the DMC are reported. Moving onward, constitution of the DMC comes under consideration. Subsequently, discussion continues on meetings of the DMC. Afterwards, DMC charter is focused. Concluding this section, data quality issues are reported. Lastly, educator discourses statistical analysis plan.
Statistical Issues in Data Monitoring
Section five is about ‘’Statistical Issues in Data Monitoring’’. Initially, information is delivered on early stopping. Then stopping rules are discussed. Additionally, consequences of early stopping are reported. At last, sample size is pursued.