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Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen +11 more
wiley +1 more source
Socio-environmental predictors of diabetes incidence disparities in Tanzania mainland: a comparison of regression models for count data. [PDF]
BMC Med Res MethodolMbwambo SH, Mbago MC, Rao GS.
europepmc +1 more source
Decoding Immuno-Competence: A Novel Analysis of Complete Blood Cell Count Data in COVID-19 Outcomes. [PDF]
BiomedicinesKempaiah P +9 more
europepmc +1 more source
Modeling Zero-inflated Count Data Using Generalized Poisson and Ordinal Logistic Regression Models in Medical Research. [PDF]
Oman Med JYadav B +5 more
europepmc +1 more source
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Handbook of Statistical Methods for Randomized Controlled Trials, 2021
Xin He, Jianguo “Tony” Sun
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Xin He, Jianguo “Tony” Sun
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Count (and count-like) data in finance
Journal of Financial Economics, 2022Jonathan B. Cohn +2 more
openaire +3 more sources
2019
Business analysts often encounter data on variables which take values 0, 1, 2, … such as the number of claims made on an insurance policy; the number of visits of a patient to a particular physician; the number of visits of a customer to a store; etc. In such contexts, the analyst is interested in explaining and/or predicting such outcome variables on ...
Mevin B. Hooten, Trevor J. Hefley
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Business analysts often encounter data on variables which take values 0, 1, 2, … such as the number of claims made on an insurance policy; the number of visits of a patient to a particular physician; the number of visits of a customer to a store; etc. In such contexts, the analyst is interested in explaining and/or predicting such outcome variables on ...
Mevin B. Hooten, Trevor J. Hefley
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2015
This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and xed e ects. The paper surveys quasi-ML methods based on the Poisson, as
Cameron, Colin, Trivedi, Pravin K.
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This paper surveys panel data methods for count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and xed e ects. The paper surveys quasi-ML methods based on the Poisson, as
Cameron, Colin, Trivedi, Pravin K.
openaire +1 more source
Technometrics, 1985
Cumulative Sum (CUSUM) control schemes are widely used in industry for process and measurement control. Most CUSUM applications have been for continuous variables. There have been fewer uses of CUSUM control schemes when the response is a count such as the number of defects per unit or the occurrence of an accident.
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Cumulative Sum (CUSUM) control schemes are widely used in industry for process and measurement control. Most CUSUM applications have been for continuous variables. There have been fewer uses of CUSUM control schemes when the response is a count such as the number of defects per unit or the occurrence of an accident.
openaire +1 more source