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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Improving statistical analysis of matched case-control studies
Aaron Conway1, John X Rolley, Paul Fulbrook
1School of Nursing, Midwifery and Paramedicine (QLD), Australian Catholic University, Also Cardiac Catheter Theatres, The Wesley Hospital, Brisbane, Qld., Australia.
Abstract:
Matched case-control research designs can be useful because matching can increase power due to reduced variability between subjects. However, inappropriate statistical analysis of matched data could result in a change in the strength of association between the dependent and independent variables or a change in the significance of the findings. We sought to ascertain whether matched case-control studies published in the nursing literature utilized appropriate statistical analyses. Of 41 articles identified that met the inclusion criteria, 31 (76%) used an inappropriate statistical test for comparing data derived from case subjects and their matched controls. In response to this finding, we developed an algorithm to support decision-making regarding statistical tests for matched case-control studies.
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