Multilevel models improve precision and speed of IC50 estimates. [PDF]
Vis DJ +5 more
europepmc +3 more sources
Multilevel Models for the Analysis of Angle-Specific Torque Curves with Application to Master Athletes. [PDF]
Carvalho HM.
europepmc +3 more sources
Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms [PDF]
The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models.
Browne, William J. +2 more
core +2 more sources
Why we (usually) don't have to worry about multiple comparisons [PDF]
Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections.
Gelman, Andrew +2 more
core +5 more sources
Chapter 20: What do interviewers learn? Changes in interview length and interviewer behaviors over the field period. Appendix 20 [PDF]
Appendix 20A Full Model Coefficients and Standard Errors Predicting Count of Questions with Individual Interviewer Behaviors, Two-level Multilevel Poisson Models with Number of Questions Asked as Exposure Variable, WLT1 and WLT2 Analytic strategyTable ...
Olson, Kristen M., Smyth, Jolene
core +1 more source
Multilevel ensemble Kalman filtering for spatio-temporal processes
We design and analyse the performance of a multilevel ensemble Kalman filter method (MLEnKF) for filtering settings where the underlying state-space model is an infinite-dimensional spatio-temporal process.
Chernov, Alexey +4 more
core +1 more source
Shrinkage Estimation in Multilevel Normal Models
This review traces the evolution of theory that started when Charles Stein in 1955 [In Proc. 3rd Berkeley Sympos. Math. Statist. Probab. I (1956) 197--206, Univ.
Lysy, Martin, Morris, Carl N.
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The wild bootstrap for multilevel models
In this paper we study the performance of the most popular bootstrap schemes for multilevel data. Also, we propose a modified version of the wild bootstrap procedure for hierarchical data structures.
Giannerini, Simone, Modugno, Lucia
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Why we (usually) don't have to worry about multiple comparisons [PDF]
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal Of Research On Educational Effectiveness on 04/03/2012, available online: https://doi.org/10.1080/19345747.2011.618213Applied researchers often find themselves ...
Gelman, Andrew +2 more
core +1 more source
Multilevel Coupled Model Transformations for Precise and Reusable Definition of Model Behaviour
The use of Domain-Specific Languages (DSLs) is a promising field for the development of tools tailored to specific problem spaces, effectively diminishing the complexity of hand-made software.
Durán, Francisco +4 more
core +1 more source

