14 research outputs found
Statistical Pitfalls in Medical Research
No full textIn conducting and reporting of medical research, there are some common
pitfalls in using statistical methodology which may result in invalid
inferences being made. This paper is aimed to highlight to
inexperienced statisticians or non-statistician some of the common
statistical pitfalls encountered when using statistics to interpret
data in medical research. We also comment on good practices to avoid
these pitfalls
When rice gets the chills: comparative transcriptome profiling at germination shows WRKY transcription factor responses
No full textValidity Evidence of Non-Technical Skills Assessment Instruments in Simulated Anaesthesia Crisis Management
No full textA guided evaluation of the impact of research and development partnerships on university, industry, and government
No full textDevelopment and validation of a speech pathology-specific questionnaire for persons with multiple sclerosis (SMS)
No full textCorrelation Analysis of Geomagnetic Data Synchronously Recorded by the INTERMAGNET Magnetic Laboratories
No full textResponsiveness of the EAT-10 to Clinical Change in Head and Neck Cancer Patients with Dysphagia
No full textParasitic conditions of domestic owned rabbits in Osun State, southwestern Nigeria: Retrospective evaluation, risk factors and co-infestations
No full textAn initial investigation into the validity of a computer-based auditory processing assessment ( Feather Squadron
No full textRedefining Cardiovascular (CV) Death as a Primary Endpoint Component in Cardiovascular Outcome Trials
No full text
