The article puts forth erroneous estimates and conclusions by omitting newer data, relying on incomplete and/or outdated data, omitting critiques of data relied upon, and drawing conclusions using heterogeneous data sets that are not adequately controlled for latency and/or exposure.
After omitting incomplete questionnaires, we included 777 individuals in the analysis.
In total, questionnaires of 446 patients were sent in, of which 17 were eventually omitted because of incomplete data, resulting in 429 individuals analyzed.
Elewski 2006 was omitted from the data table because of incomplete data, Satriano 1987 fell into the '28% per week' category and Shuttleworth 1998 fell into the '2-7% per week' category (Analysis 25.2).
Twelve subjects were omitted from data analysis due to missing or incomplete data points, resulting in a total of 114 subjects used in the data analysis.
Incomplete data collection would save between 170 h (one omitted quarter) and 340 h (two omitted quarters) compared with 84 h, which are still required for two quarterly interviews and initial and final assessment for additional patients.
We chose to omit the weeks 12 and 26, weeks with incomplete data acquisition, thus probably reducing the risk of error.
Applying incomplete data collection, it should be considered that only periods are suitable to be omitted that have similarity to other periods.
Applying incomplete data collection, several points have to be considered when choosing the method (inter- or extrapolation) and omitting quarters.
Most scientists have messy data, contradictory data, incomplete data, ambiguous data.
Recovering voter choice from partial incomplete data.
