Dummy table Construction

This is most ignored yet quite useful approach to minimize any critical gap between planning and actual results achieved. Not so infrequently, researchers find it distressing to realize that their data collection has failed to address some important primary or secondary objective as expected. Information on some key variable once missed is almost impossible to retrieve at or near the end of study period. To mitigate this anomaly, use of dummy tables and figures can be quite handy as they will forewarn as well as forearm the researcher about all vital outcomes and variables.

Suppose, researcher is keen to test the efficacy of a newer drug in children hospitalized with serious febrile illness in a randomized controlled trial with standard drug therapy as control group. It would be ideal, rather imperative, to have all possible dummy tables and graphs likely to capture all relevant information. One such table may include comparison of time to recovery from fever in two study groups. Such table will always remind the researcher to collect data with exact date and timing of onset as well as recovery from fever. If missed during data collection, such information may not always be completely available from hospital records. In addition, use of dummy Kaplan Meier survival curves for failure event of death in serious febrile illness between two study groups will always remind researcher to collect all relevant information right from the time of enrollment of each study subject.