What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Surgery
His primary areas of investigation include Physical therapy, Statistics, Internal medicine, Surgery and Randomized controlled trial.
In general Physical therapy, his work in Cerebral palsy and Gross Motor Function Classification System is often linked to Prolapsed lumbar intervertebral disc and Prolapsed lumbar disc linking many areas of study.
In the subject of general Statistics, his work in Sample size determination and Reliability is often linked to Estimation, thereby combining diverse domains of study.
The concepts of his Internal medicine study are interwoven with issues in Influenza vaccine, Vaccination and Cardiology.
His study looks at the intersection of Surgery and topics like Medical literature with Family medicine and Coronary heart disease.
The various areas that Stephen D. Walter examines in his Randomized controlled trial study include Anesthesia, Clinical trial, Intensive care medicine and Confidence interval.
His most cited work include:
- Practical Statistics for Medical Research. (11256 citations)
- Development and reliability of a system to classify gross motor function in children with cerebral palsy (4488 citations)
- Measuring change over time: assessing the usefulness of evaluative instruments. (1619 citations)
What are the main themes of his work throughout his whole career to date?
Stephen D. Walter mostly deals with Statistics, Randomized controlled trial, Surgery, Physical therapy and Internal medicine.
His studies deal with areas such as Meta-analysis and Econometrics as well as Statistics.
His Randomized controlled trial research focuses on subjects like Intensive care medicine, which are linked to Pneumonia.
His biological study focuses on Cerebral palsy.
His study with Cerebral palsy involves better knowledge in Physical medicine and rehabilitation.
Internal medicine is closely attributed to Cardiology in his study.
He most often published in these fields:
- Statistics (19.60%)
- Randomized controlled trial (19.06%)
- Surgery (13.61%)
What were the highlights of his more recent work (between 2012-2021)?
- Randomized controlled trial (19.06%)
- Internal medicine (12.89%)
- Statistics (19.60%)
In recent papers he was focusing on the following fields of study:
Stephen D. Walter focuses on Randomized controlled trial, Internal medicine, Statistics, Surgery and Cancer.
His Randomized controlled trial study combines topics in areas such as Physical therapy, Sample size determination, Clinical trial, Intensive care medicine and Fracture fixation.
His Physical therapy research is multidisciplinary, relying on both Evidence-based medicine, Quality of life and Affect.
As part of his studies on Statistics, Stephen D. Walter frequently links adjacent subjects like Econometrics.
His Surgery research is multidisciplinary, incorporating elements of Adverse effect, Cohort study and Hazard ratio.
His Cancer research integrates issues from Demography and Environmental health.
Between 2012 and 2021, his most popular works were:
- High-frequency oscillation in early acute respiratory distress syndrome. (522 citations)
- Myocardial Injury after Noncardiac Surgery: A Large, International, Prospective Cohort Study Establishing Diagnostic Criteria, Characteristics, Predictors, and 30-day Outcomes (441 citations)
- Vitamin D deficiency and depression in adults: systematic review and meta-analysis (400 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Surgery
His primary areas of study are Randomized controlled trial, Internal medicine, Hazard ratio, Surgery and Meta-analysis.
His biological study spans a wide range of topics, including Physical therapy, Adverse effect, Publication bias and Intensive care medicine.
His Physical therapy research includes themes of Preference and Affect.
His Internal medicine research includes elements of Sample size determination, Oncology and Cardiology.
Stephen D. Walter has researched Surgery in several fields, including Intensive care, Hip fracture and Cohort study.
His research integrates issues of Spurious relationship, Statistics, Standard deviation and Imputation in his study of Meta-analysis.
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