Michael Schaub mainly focuses on Ecology, Mark and recapture, Population model, Population growth and Econometrics. His Ecology research includes elements of Acrocephalus and Ciconia. His work carried out in the field of Population model brings together such families of science as Minimum viable population, Eagle, Demographic analysis and Wildlife management.
In his study, Endangered species, Rhinolophus ferrumequinum, Fecundity, Horseshoe bat and Statistical inference is inextricably linked to Population size, which falls within the broad field of Population growth. His Mortality rate study incorporates themes from Years of potential life lost, Compensation law of mortality and Epidemiological transition. The Life expectancy study which covers Population ageing that intersects with Global health.
Michael Schaub spends much of his time researching Ecology, Psychiatry, Randomized controlled trial, Population model and Mark and recapture. His biological study deals with issues like Population growth, which deal with fields such as Fecundity. His research integrates issues of Young adult and Clinical psychology in his study of Psychiatry.
Michael Schaub combines subjects such as Intervention, Physical therapy, Psychological intervention and Anxiety with his study of Randomized controlled trial. His study in Population model is interdisciplinary in nature, drawing from both Vital rates, Density dependence, Population size and Econometrics. His Mark and recapture study which covers Statistics that intersects with Random effects model.
His primary areas of investigation include Randomized controlled trial, Ecology, Intervention, Psychological intervention and Population model. Michael Schaub interconnects Quality of life, Alcohol Use Disorders Identification Test and Anxiety in the investigation of issues within Randomized controlled trial. Michael Schaub performs integrative study on Ecology and Dynamics.
His work focuses on many connections between Intervention and other disciplines, such as Physical therapy, that overlap with his field of interest in Clinical trial, Psychosocial, Suicide prevention and Injury prevention. Michael Schaub has researched Psychological intervention in several fields, including Cannabis, Human factors and ergonomics and Clinical psychology. His Population model study integrates concerns from other disciplines, such as Fecundity, Population growth, Vital rates, Population size and Reproductive success.
Michael Schaub mostly deals with Randomized controlled trial, Ecology, Population model, Psychological intervention and Intervention. Michael Schaub works mostly in the field of Randomized controlled trial, limiting it down to concerns involving Physical therapy and, occasionally, Clinical trial. While working on this project, he studies both Ecology and Dynamics.
His Population model course of study focuses on Population growth and Metapopulation, Population ecology, Source–sink dynamics, Biological dispersal and Reproductive success. His Psychological intervention research incorporates elements of Clinical psychology, Cannabis and Anxiety. Michael Schaub works mostly in the field of Intervention, limiting it down to topics relating to Alcohol Use Disorders Identification Test and, in certain cases, Motivational interviewing, Confidence interval and Mental health, as a part of the same area of interest.
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Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015
Haidong Wang;Mohsen Naghavi;Christine Allen;Ryan M Barber.
The Lancet (2016)
Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
Theo Vos;Christine Allen;Megha Arora;Ryan M Barber.
The Lancet (2016)
Alcohol use and burden for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016
Max G Griswold;Nancy Fullman;Caitlin Hawley;Nicholas Arian.
The Lancet (2018)
Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective
Marc Kery;Michael Schaub.
Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015
Marissa B Reitsma;Nancy Fullman;Marie Ng;Joseph S Salama.
The Lancet (2017)
Smartphone use and smartphone addiction among young people in Switzerland
Severin Haug;Raquel Paz Castro;Min Kwon;Andreas Filler.
Journal of behavioral addictions (2015)
Integrated population models: a novel analysis framework for deeper insights into population dynamics
Michael Schaub;Michael Schaub;Fitsum Abadi;Fitsum Abadi.
Journal of Ornithology (2011)
From Publications to Public Actions: When Conservation Biologists Bridge the Gap between Research and Implementation
Raphaël Arlettaz;Michael Schaub;Jérôme Fournier;Thomas S. Reichlin.
Assessing geographical differences in illicit drug consumption—A comparison of results from epidemiological and wastewater data in Germany and Switzerland
Frederic Been;Lubertus Bijlsma;Lisa Benaglia;Jean Daniel Berset.
Drug and Alcohol Dependence (2016)
Why didn’t patients use it? Engagement is the real story in Gilbody et al. (2015), not effectiveness
M. Jones;D.D. Ebert;C. Jacobi;I. Beintner.
BMJ Open (2015)
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