Research and scholarly methods: Subgroup analysis
نویسندگان
چکیده
Subgroup analysis is designed to evaluate whether an intervention has differing effects according baseline characteristics of participants in clinical trials. This approach can help identify subgroups patient populations, within a single trial or across multiple trials (meta-analysis), that may benefit from the be hypothesis-generating for future Properly prespecified subgroup analyses increase effect size and legitimacy P-values determining significance hypothesis testing. However, many pitfalls limitations exist must recognized, including post hoc data-generating, testing, selective reporting, insufficient sample size. Failure account these could lead erroneous interpretations adversely impact decision-making. review will provide general overview, best practices, avoid investigators involved design, conduct, interpretation analyses.
منابع مشابه
Network analysis of temporal trends in scholarly research productivity
We propose a method to identify the journals or proceedings that are most highly esteemed by a research group over some time frame. Using open publication databases, we identify the experts in the community, and analyse their publication pattern, and then use this as a guideline for evaluating scientific outputs of other groups of researchers publishing in the same domain. To illustrate the pra...
متن کاملForum on research and scholarly activity.
Emergency medicine training programs often require residents to participate in research activity. One goal of the Resident Forum was to discuss ways of improving this element of our training. We asked ourselves the following questions. What are the objectives for a graduating resident? The Royal College of Physicians and Surgeons of Canada’s Standard for the Academic and Scholarly Aspects of th...
متن کاملcomparative analysis of the use of hedges & emphatics in english and persian academic research articles of sociology & psychology
چکیده ندارد.
15 صفحه اولApplications and Research Problems of Subgroup Mining
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deals with complex, i.e. large, high dimensional, multi relational, dynamic, or heterogeneous data, and produces understandable results for those who "own the data". With these objectives, subgroup mining searches for hyp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JACCP: journal of the American College of Clinical Pharmacy
سال: 2022
ISSN: ['2574-9870']
DOI: https://doi.org/10.1002/jac5.1611