Tribute to michael D. Fetters
JW Creswell, RB Johnson - Journal of Mixed Methods …, 2023 - journals.sagepub.com
Mixed methods research sadly lost a giant in the field and the co-editor in chief of JMMR with
the passing of Mike Fetters of the University of Michigan on July 16th, 2023. Mike lost his …
the passing of Mike Fetters of the University of Michigan on July 16th, 2023. Mike lost his …
Valid Randomization Tests in Inexactly Matched Observational Studies via Iterative Convex Programming
S Heng, Y Shen, P Wang - arXiv preprint arXiv:2311.11216, 2023 - arxiv.org
In causal inference, matching is one of the most widely used methods to mimic a
randomized experiment using observational (non-experimental) data. Ideally, treated units …
randomized experiment using observational (non-experimental) data. Ideally, treated units …
Multiple Imputation of missing values for randomized controlled trials: A step-by-step tutorial using mice
O Lecuona, A Angulo-Brunet - 2023 - osf.io
Abstract Randomized Controlled Trials (RCTs) are a widely used research protocol in
applied research. Among others, a major challenge of RCTs is the presence of missing data …
applied research. Among others, a major challenge of RCTs is the presence of missing data …
Minimization and estimation of the variance of prediction errors for cross-validation designs
M Fuchs, N Krautenbacher - Journal of Statistical Theory and Practice, 2016 - Springer
We consider the mean prediction error of a classification or regression procedure as well as
its cross-validation estimates, and investigate the variance of this estimate as a function of …
its cross-validation estimates, and investigate the variance of this estimate as a function of …
Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun-Hui Zhang and Hui Zou Boca Raton, FL: Chapman and Hall/CRC, 2021. Hard cover. pp. 774 …
LP Chen - 2021 - academic.oup.com
T. Longford. Making decisions is an important action in everyone's lives, and statistics can
help us to provide the options for making a better decision depending on the limited …
help us to provide the options for making a better decision depending on the limited …
Multiple imputation for handling missing outcome data in randomized trials involving a mixture of independent and paired data
TR Sullivan, LN Yelland… - Statistics in …, 2021 - Wiley Online Library
Randomized trials involving independent and paired observations occur in many areas of
health research, for example in paediatrics, where studies can include infants from both …
health research, for example in paediatrics, where studies can include infants from both …
Simultaneous confidence intervals for the interpretation of primary and secondary effects in factorial designs without a pre-test on interaction
LA Hothorn - arXiv preprint arXiv:2204.08336, 2022 - arxiv.org
The analysis of low dimensional factorial designs with possible interactions is a relevant
issue. Instead of the common pre-tests for interaction, a simultaneous inference procedure of …
issue. Instead of the common pre-tests for interaction, a simultaneous inference procedure of …
[HTML][HTML] Reproducible Research
JD Bakker - Applied Multivariate Statistics in R, 2024 - uw.pressbooks.pub
There is a growing concern in science about the extent to which it is reproducible. In
biomedical studies, for example, the strain of organism or conditions in the lab can have …
biomedical studies, for example, the strain of organism or conditions in the lab can have …
[PDF][PDF] POSSA: Power simulation for sequential analyses and multiple hypotheses
G Lukács - Journal of Open Source Software, 2022 - joss.theoj.org
Conventional experiment designs have a fixed sample size: observations are collected until
the planned sample size is reached, and then the experiment is concluded. Alternatively …
the planned sample size is reached, and then the experiment is concluded. Alternatively …
[图书][B] Essays in multiple comparison testing
E Williams - 2003 - search.proquest.com
Essays in multiple comparison testing Essays in multiple comparison testing Abstract This
dissertation aims to introduce a level of confidence in multiple inference into econometric …
dissertation aims to introduce a level of confidence in multiple inference into econometric …