Results 51 to 60 of about 13,095 (150)

Assessing misspecification of individual homogeneity assumption in multi-state models based on asymptotic theory

Journal of Biostatistics and Epidemiology, 2015
Background & Aim: Multi-state models can help better understand the process of chronic diseases such as cancers.  These models  are influenced  by assumptions  like individual  homogeneity.
Ali Zare, Mahmood Mahmoodi, Kazem Mohammad, Hojjat Zeraati, Mostafa Hosseini, Kourosh Holakouie-Naieni   +5 more
doaj  

Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment

BMC Genetics, 2006
Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F, Atwood Larry D, Sorant Alexa JM, Mandal Diptasri M, Bailey-Wilson Joan E   +4 more
doaj   +1 more source

Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data? [PDF]

PLoS ONE, 2017
Systematic biases such as long branch attraction can mislead commonly relied upon model-based (i.e. maximum likelihood and Bayesian) phylogenetic methods when, as is usually the case with empirical data, there is model misspecification.
Patrick Kück, Mark Wilkinson, Christian Groß, Peter G Foster, Johann W Wägele   +4 more
doaj   +1 more source

Misspecification and Weak Identification in Asset Pricing

, 2022
The widespread co-existence of misspecification and weak identification in asset pricing has led to an overstated performance of risk factors. Because the conventional Fama and MacBeth (1973) methodology is jeopardized by misspecification and weak ...
Zhan, Zhaoguo, Kleibergen, Frank
core  

An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout

Journal of Probability and Statistics, 2019
In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared ...
Amal Almohisen, Robin Henderson, Arwa M. Alshingiti   +2 more
doaj   +1 more source

Effects of variance-function misspecification in analysis of longitudinal data

, 2005
The approach of generalized estimating equations (GEE) is based on the framework of generalized linear models but allows for specification of a working matrix for modeling within-subject correlations.
Lin, X., Wang, You-Gan, Wang, Y-G., Lin, Xu, Wang, Y.-G.   +4 more
core   +1 more source

Experiment 2: Misspecification and censoring.

, 2023
Relative bias of the MHRATT estimation methods for varying censoring rates and different DGPs. Sample size is n = 1500, true MHRATT = 0.8 and good overlap (k = 1). In Scenario (A) there is no model misspecification. (TIF)
Guilherme W. F. Barros (17598966), Marie Eriksson (412820), Jenny Häggström (418281)   +2 more
core   +1 more source

Surveillance of Pharmaceutical Risk‐Mitigation Behavior: Applying and Comparing Statistical Process Control Methods Using Real World Data

Learning Health Systems
Introduction Active post‐marketing surveillance of prescribing behavior of high‐risk drugs may provide early warning of unforeseen issues in a population, yet analysis approaches for surveillance using real‐world data are underdeveloped.
Harris Butler, John D. Rice, Nichole E. Carlson, Elaine H. Morrato   +3 more
doaj   +1 more source

Structural Break Tests Robust to Regression Misspecification

Econometrics, 2018
Structural break tests for regression models are sensitive to model misspecification. We show—analytically and through simulations—that the sup Wald test for breaks in the conditional mean and variance of a time series process exhibits severe
Alaa Abi Morshed, Elena Andreou, Otilia Boldea   +2 more
doaj   +1 more source

Inflation persistence, structural breaks and omitted variables: a critical view [PDF]

Recent empirical contributions assess time changes in inflation persistence by means of simple autoregressive models. Their reliability is discussed in the light of the econometric literature on model misspecification and it is showed that their results ...
Andrea Vaona
core