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pro vyhledávání: '"Campbell, Harlan"'
Derived variables are variables that are constructed from one or more source variables through established mathematical operations or algorithms. For example, body mass index (BMI) is a derived variable constructed from two source variables: weight a
Externí odkaz:
http://arxiv.org/abs/2404.09966
Non-representative surveys are commonly used and widely available but suffer from selection bias that generally cannot be entirely eliminated using weighting techniques. Instead, we propose a Bayesian method to synthesize longitudinal representative
Externí odkaz:
http://arxiv.org/abs/2404.02283
In light of newly developed standardization methods, we evaluate, via simulation study, how propensity score weighting and standardization -based approaches compare for obtaining estimates of the marginal odds ratio and the marginal hazard ratio. Spe
Externí odkaz:
http://arxiv.org/abs/2301.09661
Autor:
Campbell, Harlan, Gustafson, Paul
In many common situations, a Bayesian credible interval will be, given the same data, very similar to a frequentist confidence interval, and researchers will interpret these intervals in a similar fashion. However, no predictable similarity exists wh
Externí odkaz:
http://arxiv.org/abs/2210.00029
Autor:
Campbell, Harlan, Gustafson, Paul
Recently, several researchers have claimed that conclusions obtained from a Bayes factor (or the posterior odds) may contradict those obtained from Bayesian posterior estimation. In this short paper, we wish to point out that no such "incompatibility
Externí odkaz:
http://arxiv.org/abs/2204.06054
Autor:
de Jong, Valentijn M. T., Campbell, Harlan, Maxwell, Lauren, Jaenisch, Thomas, Gustafson, Paul, Debray, Thomas P. A.
A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassification may lead to biased estimates of model parameters, even when the m
Externí odkaz:
http://arxiv.org/abs/2111.01650
Autor:
Park, Julie E., Campbell, Harlan, Towle, Kevin, Yuan, Yong, Jansen, Jeroen P., Phillippo, David, Cope, Shannon
Publikováno v:
In Value in Health March 2024 27(3):278-286
Autor:
Campbell, Harlan, Gustafson, Paul
Following an extensive simulation study comparing the operating characteristics of three different procedures used for establishing equivalence (the frequentist "TOST", the Bayesian "HDI-ROPE", and the Bayes factor interval null procedure), Linde et
Externí odkaz:
http://arxiv.org/abs/2104.07834
Autor:
Campbell, Harlan, de Jong, Valentijn M. T., Maxwell, Lauren, Debray, Thomas P. A., Jaenisch, Thomas, Gustafson, Paul
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we consider the less than ideal situation in which contributing studies may be compromised by measurement error. Measurement error affects every study design, from rando
Externí odkaz:
http://arxiv.org/abs/2011.07186
Autor:
Campbell, Harlan, de Valpine, Perry, Maxwell, Lauren, de Jong, Valentijn MT, Debray, Thomas, Jänisch, Thomas, Gustafson, Paul
A key challenge in estimating the infection fatality rate (IFR) -- and its relation with various factors of interest -- is determining the total number of cases. The total number of cases is not known because not everyone is tested, but also, more im
Externí odkaz:
http://arxiv.org/abs/2005.08459