His primary areas of investigation include Randomized controlled trial, Clinical trial, Physical therapy, MEDLINE and Statistics. His Randomized controlled trial research includes elements of Guideline, Quality of life and Acupuncturist. His work deals with themes such as Patient satisfaction, Severity of illness, Motor skill and Cerebral palsy, which intersect with Clinical trial.
Michael J. Campbell combines subjects such as Odds ratio, Referral, Acupuncture, Depression and Low back pain with his study of Physical therapy. His work carried out in the field of MEDLINE brings together such families of science as Alternative medicine, Prospective cohort study, Medical physics and Public health. His Confidence interval study combines topics in areas such as Normal distribution, Statistical inference, Econometrics and Sample.
His scientific interests lie mostly in Statistics, Randomized controlled trial, Physical therapy, Pediatrics and Internal medicine. His Statistics study often links to related topics such as Econometrics. His research on Randomized controlled trial frequently connects to adjacent areas such as Clinical trial.
His research in Physical therapy intersects with topics in Quality of life, Cluster randomised controlled trial, Disease cluster, Acupuncture and Type 1 diabetes. The concepts of his Internal medicine study are interwoven with issues in Endocrinology and Cardiology.
His main research concerns Randomized controlled trial, Physical therapy, Internal medicine, Statistics and Pediatrics. Randomized controlled trial is often connected to Clinical trial in his work. The study incorporates disciplines such as Cluster randomised controlled trial, Disease cluster and Type 1 diabetes in addition to Physical therapy.
His Statistics study frequently intersects with other fields, such as Econometrics. His research integrates issues of Prospective cohort study, Cause of death, Cohort and Emergency medicine in his study of Pediatrics. His Consolidated Standards of Reporting Trials study combines topics from a wide range of disciplines, such as Guideline and Delphi method.
Randomized controlled trial, Physical therapy, Cluster randomised controlled trial, Clinical trial and Type 1 diabetes are his primary areas of study. His biological study spans a wide range of topics, including Disease cluster, Statistics and Management science. In most of his Statistics studies, his work intersects topics such as MEDLINE.
His work carried out in the field of Physical therapy brings together such families of science as Brain ischemia, Severity of illness, Etiology and Environmental exposure. Quality of life is closely connected to Insulin pump in his research, which is encompassed under the umbrella topic of Cluster randomised controlled trial. His Clinical trial research incorporates elements of Outcome and Medical education.
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Analysis of serial measurements in medical research.
J. N. S. Matthews;D. G. Altman;M. J. Campbell;P. Royston.
CONSORT 2010 statement: extension to randomised pilot and feasibility trials.
Sandra M. Eldridge;Claire L. Chan;Michael J. Campbell;Christine M. Bond.
Pilot and Feasibility Studies (2016)
What is a pilot or feasibility study? A review of current practice and editorial policy.
Mubashir Arain;Michael J Campbell;Cindy L Cooper;Gillian A Lancaster.
BMC Medical Research Methodology (2010)
CONSORT 2010 statement: extension to randomised pilot and feasibility trials
Sandra Eldridge;Claire L Chan;Michael J. Campbell;Christine M. Bond.
BMJ Open (2016)
Sample Sizes for Clinical, Laboratory and Epidemiology Studies
David Machin;David Machin;Michael J. Campbell;Say Beng Tan;Sze Huey Tan.
Effectiveness of the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cluster randomised controlled trial
Melanie J. Davies;S. Heller;T.C. Skinner;M.J. Campbell.
Statistics at Square One
T. D. V. Swinscow;Michael J. Campbell.
Defining Feasibility and Pilot Studies in Preparation for Randomised Controlled Trials: Development of a Conceptual Framework.
Sandra M. Eldridge;Gillian A. Lancaster;Michael J. Campbell;Lehana Thabane.
PLOS ONE (2016)
Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable
Amy L Whitehead;Steven A Julious;Cindy L Cooper;Michael J Campbell.
Statistical Methods in Medical Research (2016)
The relationship between upper respiratory infections and hospital admissions for asthma : A time-trend analysis
S. L. Johnston;P. K. Pattemore;G. Sanderson;S. Smith.
American Journal of Respiratory and Critical Care Medicine (1996)
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