User profiles for B. Carlin
Bradley P. CarlinPharmaLex - US Verified email at counterpointstat.com Cited by 48692 |
An official European Respiratory Society/American Thoracic Society technical standard: field walking tests in chronic respiratory disease
…, D Saey, MC McCormack, BW Carlin… - European …, 2014 - Eur Respiratory Soc
Field walking tests are commonly employed to evaluate exercise capacity, assess prognosis
and evaluate treatment response in chronic respiratory diseases. In recent years, there has …
and evaluate treatment response in chronic respiratory diseases. In recent years, there has …
Markov chain Monte Carlo convergence diagnostics: a comparative review
… where B is the variance between the means from the m parallel chains, W is the average of
… Slowly mixing samplers will initially have B much larger than W, because the chain starting …
… Slowly mixing samplers will initially have B much larger than W, because the chain starting …
Pulmonary rehabilitation: joint ACCP/AACVPR evidence-based clinical practice guidelines
…, BW Carlin, R Casaburi, CF Emery, DA Mahler, B Make… - Chest, 2007 - Elsevier
… Regarding changes in HRQOL, the previous panel concluded that there was B level strength
of evidence supporting the recommendation that “pulmonary rehabilitation improves health-…
of evidence supporting the recommendation that “pulmonary rehabilitation improves health-…
An official American Thoracic Society/European Respiratory Society statement: key concepts and advances in pulmonary rehabilitation
…, R Garrod, AMWJ Schols, B Carlin… - American journal of …, 2013 - atsjournals.org
Background: Pulmonary rehabilitation is recognized as a core component of the management
of individuals with chronic respiratory disease. Since the 2006 American Thoracic Society (…
of individuals with chronic respiratory disease. Since the 2006 American Thoracic Society (…
Bayesian measures of model complexity and fit
We consider the problem of comparing complex hierarchical models in which the number of
parameters is not clearly defined. Using an information theoretic argument we derive a …
parameters is not clearly defined. Using an information theoretic argument we derive a …
[BOOK][B] Hierarchical modeling and analysis for spatial data
Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …
spatial and spatio-temporal data from areas such as epidemiology And environmental …
Bayesian model choice via Markov chain Monte Carlo methods
Markov chain Monte Carlo (MCMC) integration methods enable the fitting of models of
virtually unlimited complexity, and as such have revolutionized the practice of Bayesian data …
virtually unlimited complexity, and as such have revolutionized the practice of Bayesian data …
[BOOK][B] Bayesian methods for data analysis
… If σ2 is small (ie, our prior knowledge is imprecise relative to the data information), B is close
to 0 and the estimate is moved very little toward the prior mean. As we show in Chapter 5, …
to 0 and the estimate is moved very little toward the prior mean. As we show in Chapter 5, …
An official systematic review of the European Respiratory Society/American Thoracic Society: measurement properties of field walking tests in chronic respiratory …
…, T Troosters, MA Spruit, BW Carlin… - European …, 2014 - Eur Respiratory Soc
This systematic review examined the measurement properties of the 6-min walk test (6MWT),
incremental shuttle walk test (ISWT) and endurance shuttle walk test (ESWT) in adults with …
incremental shuttle walk test (ISWT) and endurance shuttle walk test (ESWT) in adults with …
A Monte Carlo approach to nonnormal and nonlinear state-space modeling
A solution to multivariate state-space modeling, forecasting, and smoothing is discussed. We
allow for the possibilities of nonnormal errors and nonlinear functionals in the state equation…
allow for the possibilities of nonnormal errors and nonlinear functionals in the state equation…