Joint modelling rationale for chained equations
نویسندگان
چکیده
منابع مشابه
Joint modelling rationale for chained equations
BACKGROUND Chained equations imputation is widely used in medical research. It uses a set of conditional models, so is more flexible than joint modelling imputation for the imputation of different types of variables (e.g. binary, ordinal or unordered categorical). However, chained equations imputation does not correspond to drawing from a joint distribution when the conditional models are incom...
متن کاملMultiple Imputation by Chained Equations in Praxis: Guidelines and Review
Multiple imputation by chained equations (MICE) is an effective tool to handle missing data an almost unavoidable problem in quantitative data analysis. However, despite the empirical and theoretical evidence supporting the use of MICE, researchers in the social sciences often resort to inferior approaches unnecessarily risking erroneous results. The complexity of the decision process when enco...
متن کاملmice: Multivariate Imputation by Chained Equations in R
The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice 2.9, which extends the functionality of mice 1.0 in several ways. In mice 2.9, the analysis of imputed data i...
متن کاملInvestigating and modelling rationale style arguments
This thesis investigates how the intended direction (either self or other) and perception of future use when constructing a rationale style argument can impact upon decision confidence and argument quality (in terms of rhetorical structure and the use of rebuttals). The literature review reveals emerging needs for further understanding of how the perception held of intended rationale direction ...
متن کاملArticular human joint modelling
Robotica / Volume 28 / Special Issue 02 / March 2010, pp 321 339 DOI: 10.1017/S0263574709990592, Published online: 07 December 2009 Link to this article: http://journals.cambridge.org/abstract_S0263574709990592 How to cite this article: Ibrahim I. Esat and Neviman Ozada (2010). Articular human joint modelling. Robotica, 28, pp 321-339 doi:10.1017/ S0263574709990592 Request Permissions : Click here
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Medical Research Methodology
سال: 2014
ISSN: 1471-2288
DOI: 10.1186/1471-2288-14-28