[PDF] Top 20 Individual effects and dynamics in count data models
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Individual effects and dynamics in count data models
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Asymptotics for panel quantile regression models with individual effects
... The incidental parameters problem has been extensively studied in the recent non- linear panel data literature. Among them, Hahn and Newey (2004) studied the max- imum likelihood estimation of a general nonlinear ... See full document
43
Parameter estimation using unidentified individual data in individual based models
... Mathematical models are typically developed in PK/PD efforts to describe the dynamics of a single individual as opposed to describing the ...each individual, cell, organism, or particle. The ... See full document
22
Network meta-analysis of (individual patient) time to event data alongside (aggregate) count data
... aggregate data (AD) (sometimes called summary data, ...of individual patient-level data (IPD) in NMA ...subgroup effects to be estimated that could guide more personalised treatment ... See full document
27
Network meta-analysis of (individual patient) time to event data alongside (aggregate) count data
... Model A uses baseline covariates to adjust for clinical het- erogeneity in the IPD. To further explore the impact of covariates on the relative treatment effects (i.e. whether they were effect modifiers), and ... See full document
11
Parametric Models of Linguistic Count Data
... small effects can be significant on a test set of about 4,000 ...binomial models outperform both the simple binomial and the Bernoulli, except on unrealistically small vocabu- laries (intuitively, 20 words ... See full document
8
Moment conditions for dynamic panel data models with multiplicative individual effects in the conditional variance
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18
The Determinants of Health Care Utilization in Portugal: An Approach with Count Data Models
... Having a clear idea of both, health care demand determinants and the magni- tude of their effects will help the debate on the delivery and organization of health services to efficiently attain a healthier society ... See full document
22
Marginalized mixture models for count data from multiple source populations
... the effects of covariates on the overall mean count while adjusting for unexplained ...MNB-Pois models have straightforward interpretations in describing overall exposure effects on ... See full document
17
Individual patient data meta-analysis of survival data using Poisson regression models
... time-to-event data can use either a two-stage or one-stage ...fitting individual survival models to each ...patient data from all studies are analysed simultaneously within a hierarchical ... See full document
14
Efficient two-step multivariate random effects meta-analysis of individual participant data for longitudinal clinical trials using mixed effects models
... mixed effects model are increasingly used in the context of evidence synthesis as ...trials data sharing systems ...large individual participant level datasets and explorations of effect modifiers ... See full document
12
The mixed model for the analysis of a repeated‐measurement multivariate count data
... random effects independent of the used random effect structure to model the correlation between subjects across ...our data application. We also showed that the models provided similar estimates for ... See full document
21
Effects of Exogenous and Endogenous Attention on
... regression models (see Table II) to individual data to quantify the effects of SOA (masking), CTOA 414. (attention), and their various interactions[r] ... See full document
26
Statistical Diagnostics of Models for Count Data
... an individual of the regression line can be determined only by some observation, and the maximum value of the information is mostly ...regression models are not as extensive as linear ...outlier data ... See full document
7
Generalized linear mixed models for count data
... random effects, instead we treat both of them as fixed effects and estimate them using ...random effects by maximizing the h-likelihood with respect to the covari- ance matrix of the random ...dom ... See full document
97
PM2.5 metal exposures and nocturnal heart rate variability: a panel study of boilermaker construction workers
... To date, the majority of epidemiological studies have characterized PM exposures by mass concentration. PM with an aerodynamic diameter ≤ 2.5 μm (PM 2.5 ) is often measured due to its ability to penetrate deep into the ... See full document
8
Computational models of morphology's effects on cellular dynamics
... Computer simulation and traditional lab experimentation are making it increas- ingly clear that the reaction pathways and di↵usive processes that constitute cellular dynamics are a↵ected by the morphology of the ... See full document
264
Assessment and Selection of Competing Models for Count Data: An Application to Early Childhood Caries
... Abstract: Count data has been witnessed in a wide range of disciplines in real ...regression models proposed to model data with count ...the count models are potential ... See full document
8
The estimation of a preference-based measure of health from the SF-36
... PAIN2 vs PAIN 3. There is no clear ordinal relationship between PF4 and PF5 and hence this may not be an inconsistency at all. RL3 vs RL4 have similar coefficients across all models and this indicates that most ... See full document
41
Semiparametric inference based on a class of zero-altered distributions
... The above result clearly indicates that δ acts as a measure of dispersion; a nega- tive value (δ < 0) indicates underdispersion while a positive value (δ > 0) indicates overdispersion and a value of zero (δ = 0) ... See full document
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