Estimating causal effects of treatment in RCTs with provider and subject noncompliance
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 22, 2018 Category: Statistics Authors: Elisa Sheng,
Wei Li,
Xiao ‐Hua Zhou Source Type: research
Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 22, 2018 Category: Statistics Authors: Richard D. Riley,
Kym I.E. Snell,
Joie Ensor,
Danielle L. Burke,
Frank E. Harrell,
Karel G.M. Moons,
Gary S. Collins Source Type: research
Propensity ‐score matching with competing risks in survival analysis
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 22, 2018 Category: Statistics Authors: Peter C. Austin,
Jason P. Fine Source Type: research
Allowing for uncertainty due to missing and LOCF imputed outcomes in meta ‐analysis
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 22, 2018 Category: Statistics Authors: Dimitris Mavridis,
Georgia Salanti,
Toshi A. Furukawa,
Andrea Cipriani,
Anna Chaimani,
Ian R. White Source Type: research
The use of weight adjusted for height rather than body mass index to assess growth trajectory: Results from a population ‐based cohort
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 19, 2018 Category: Statistics Authors: Joana Ara újo,
Elisabete Ramos,
Gita D. Mishra,
Milton Severo Source Type: research
Investigating hospital heterogeneity with a competing risks frailty model
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 19, 2018 Category: Statistics Authors: Anja J. Rueten ‐Budde,
Hein Putter,
Marta Fiocco Source Type: research
Inter ‐unit reliability for nonlinear models
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 19, 2018 Category: Statistics Authors: Kevin He,
John D. Kalbfleisch,
Yuan Yang,
Zhe Fei Source Type: research
The use of weight adjusted for height rather than body mass index to assess growth trajectory: Results from a population ‐based cohort
We compared different growth models parameterizations regarding (i) adjustment of weight ‐for‐height, as denoted by body mass index (BMI); (ii) adjustment for different covariates, ie, age or height; and (iii) the use of different smoothing methods, ie, polynomial, fractional polynomial, or linear splines. A total of 11 459 measurements of weight and height from 719 participants w ere used, obtained from the EPITeen cohort at 13, 17, and 21 years, and extracted from child health books. The individual growth curves were modeled using mixed‐effects polynomial, fractional polynomial, and linear splines, and each mode...
Source: Statistics in Medicine - October 18, 2018 Category: Statistics Authors: Joana Ara újo,
Elisabete Ramos,
Gita D. Mishra,
Milton Severo Tags: RESEARCH ARTICLE Source Type: research
Investigating hospital heterogeneity with a competing risks frailty model
Survival analysis is used in the medical field to identify the effect of predictive variables on time to a specific event. Generally, not all variation of survival time can be explained by observed covariates. The effect of unobserved variables on the risk of a patient is called frailty. In multicenter studies, the unobserved center effect can induce frailty on its patients, which can lead to selection bias over time when ignored. For this reason, it is common practice in multicenter studies to include a random frailty term modeling center effect. In a more complex event structure, more than one type of event is possible. ...
Source: Statistics in Medicine - October 18, 2018 Category: Statistics Authors: Anja J. Rueten ‐Budde,
Hein Putter,
Marta Fiocco Tags: RESEARCH ARTICLE Source Type: research
Inter ‐unit reliability for nonlinear models
In monitoring dialysis facilities, various quality measures are used in order to assess the performance and quality of care. The inter ‐unit reliability (IUR) describes the proportion of variation in the quality measure that is due to the between‐facility variation. If the measure under evaluation is a simple average across normally distributed patient outcomes for each facility, the IUR is based on a one‐way analysis of vari ance (ANOVA). However, more complex quality measures are not simple averages of individual outcomes. Even the standard bootstrap methods are inadequate because the computational burden increases...
Source: Statistics in Medicine - October 18, 2018 Category: Statistics Authors: Kevin He,
John D. Kalbfleisch,
Yuan Yang,
Zhe Fei Tags: RESEARCH ARTICLE Source Type: research
Mixed binary ‐continuous copula regression models with application to adverse birth outcomes
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 18, 2018 Category: Statistics Authors: Nadja Klein,
Thomas Kneib,
Giampiero Marra,
Rosalba Radice,
Slawa Rokicki,
Mark E. McGovern Source Type: research
Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 18, 2018 Category: Statistics Authors: Karri Sepp ä,
Håvard Rue,
Timo Hakulinen,
Esa Läärä,
Mikko J. Sillanpää,
Janne Pitkäniemi Source Type: research
Mixed binary ‐continuous copula regression models with application to adverse birth outcomes
Bivariate copula regression allows for the flexible combination of two arbitrary, continuous marginal distributions with regression effects being placed on potentially all parameters of the resulting bivariate joint response distribution. Motivated by the risk factors for adverse birth outcomes, many of which are dichotomous, we consider mixed binary ‐continuous responses that extend the bivariate continuous framework to the situation where one response variable is discrete (more precisely, binary) whereas the other response remains continuous. Utilizing the latent continuous representation of binary regression models, w...
Source: Statistics in Medicine - October 17, 2018 Category: Statistics Authors: Nadja Klein,
Thomas Kneib,
Giampiero Marra,
Rosalba Radice,
Slawa Rokicki,
Mark E. McGovern Tags: RESEARCH ARTICLE Source Type: research
Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation
This study assessed the performance of the integrated nested Laplace approximation (INLA) in monitoring regional variation in cancer survival. Poisson regression model of excess mortality including both spatially correlated and unstructured random effects was fitted to the data of patients diagnosed with ovarian and breast cancer in Finland during 1955 ‐2014 with follow up from 1960 through 2014 by using the period approach with five‐year calendar time windows. We estimated standard deviations associated with variation (i) between hospital districts and (ii) between municipalities within hospital districts. Posterior e...
Source: Statistics in Medicine - October 17, 2018 Category: Statistics Authors: Karri Sepp ä,
Håvard Rue,
Timo Hakulinen,
Esa Läärä,
Mikko J. Sillanpää,
Janne Pitkäniemi Tags: RESEARCH ARTICLE Source Type: research
A weighted kernel machine regression approach to environmental pollutants and infertility
Statistics in Medicine, EarlyView. (Source: Statistics in Medicine)
Source: Statistics in Medicine - October 17, 2018 Category: Statistics Authors: Wei Zhang,
Zhen Chen,
Aiyi Liu,
Germaine M. Buck Louis Source Type: research
