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[PDF] Top 20 Generalized log-logistic proportional hazard model with applications in survival analysis

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Generalized log-logistic proportional hazard model with applications in survival analysis

Generalized log-logistic proportional hazard model with applications in survival analysis

... a model that takes into account measurement error in the time- dependent covariate to estimate its true values (longitudinal model), and another model that uses these estimated values to quantify the ... See full document

18

Socioeconomic and Demographic Determinants of Birth Interval in Bangladesh: A Statistical Analysis Using Survival Mixed Regression Model and Proportional Hazard Regression Model

Socioeconomic and Demographic Determinants of Birth Interval in Bangladesh: A Statistical Analysis Using Survival Mixed Regression Model and Proportional Hazard Regression Model

... bivariate analysis is conducted. The survival curve for different variable are plotted using Kaplan-Meier ...Also log rank test is used to compare the survival probability between two or more ... See full document

10

Hypertabastic survival model

Hypertabastic survival model

... tic model when fitted to the multiple myeloma ...hypertabastic proportional hazards model fits the multiple myeloma data ...hypertabastic model is the logarithm of blood urea nitrogen with an ... See full document

13

An Analysis of the Survival times of the Patients with AML (Acute Myeloid Leukemia) using Cox Proportional Hazard Model with changing form of the Hazard Function

An Analysis of the Survival times of the Patients with AML (Acute Myeloid Leukemia) using Cox Proportional Hazard Model with changing form of the Hazard Function

... of hazard function. Thus, it is often informative to examine the hazard function when time to response data is being ...Cox proportional hazard model is fitted to patient data of Acute ... See full document

6

Investigating Interaction of Study Group Based Massive Open Online Courses

Investigating Interaction of Study Group Based Massive Open Online Courses

... of proportional odds logistic regression, and they are known to provide less biased estimates than simpler techniques that do not take into account the potentially truncated nature of time-to-event ... See full document

5

Survival Analysis of Patients with End Stage Renal Disease the Case of Adama Hospital, Ethiopia

Survival Analysis of Patients with End Stage Renal Disease the Case of Adama Hospital, Ethiopia

... Cox proportional hazards (PH) model is now the most widely used for the analysis of survival data in the presence of covariates or prognostic ...this model is so popular is because of ... See full document

8

On the Flexibility of a Transmuted Type I Generalized Half Logistic Distribution with Application

On the Flexibility of a Transmuted Type I Generalized Half Logistic Distribution with Application

... half logistic distribution using quadratic rank transmutation map to develop a transmuted type I half logistic ...the analysis of data in various disciplines such as reliability analysis in ... See full document

6

Comparison of Parametric Models: Appication to Hypertensive Patients in a Teaching Hospital, Awka

Comparison of Parametric Models: Appication to Hypertensive Patients in a Teaching Hospital, Awka

... hypertabastic survival model is better preferred to other distribution and the hazard function can help in modeling failure rates in medical, biological and engineering fields 3 ...as ... See full document

10

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... and log-rank test and Cox regression have been used. Nonparametric survival analysis methods (univariate), although describe information available in data, cannot investigate the simultaneous effect ... See full document

11

Caesarean delivery and its correlates in Northern Region of Bangladesh: application of logistic regression and cox proportional hazard model

Caesarean delivery and its correlates in Northern Region of Bangladesh: application of logistic regression and cox proportional hazard model

... and place of residence. It seems that women residing in urban areas of the northern region were more likely to undergo C-section in private hospitals. This indicates the importance of social status in determining the ... See full document

11

The Odd Log-Logistic Generalized Half-Normal Lifetime Poisson Model

The Odd Log-Logistic Generalized Half-Normal Lifetime Poisson Model

... the hazard rate function (hrf) is ...lifetime model. Pescim et al. (2010) introduced the beta generalized half-Normal (BGHN) distribution with applications to myelogenous leukemia ... See full document

18

Deriving Penalized Splines For Estimation Of Time Varying Effects In Survival Data

Deriving Penalized Splines For Estimation Of Time Varying Effects In Survival Data

... of survival analysis are either to compare the failure time distribution function or to assess the effects of covariate on survival via appropriate hazards regression ...Cox’s proportional ... See full document

7

Heritability, reliability of genetic evaluations and response to selection in proportional hazard models

Heritability, reliability of genetic evaluations and response to selection in proportional hazard models

... as survival models, the asymptotic prediction er- ror variance could be calculated from the diagonal term of the inverse of the information ...in survival analysis, Ducrocq (1999a) suggested an ... See full document

16

On Transmuted Four Parameters Generalized Log-Logistic Distribution

On Transmuted Four Parameters Generalized Log-Logistic Distribution

... parameters generalized log-logistic distribution using quadratic rank transmutation map to develop a transmuted four parameters generalized log-logistic ...the analysis of ... See full document

6

“Spatial heterogeneity of environmental risk in randomized prevention trials: consequences and modeling”

“Spatial heterogeneity of environmental risk in randomized prevention trials: consequences and modeling”

... Cox Proportional Hazard (Cox-PH) model is the most widely used multivariate approach in clinical trials, it is not always applied correctly in contexts of spatial ...for survival ... See full document

16

Model-based Recursive Partitioning for Survival of Iranian  Female Breast Cancer Patients: Comparing with Parametric  Survival Models

Model-based Recursive Partitioning for Survival of Iranian Female Breast Cancer Patients: Comparing with Parametric Survival Models

... as model covariates and the remains, including age, ER, and PR, were employed as partitioning ...for survival time and the tree was grown by just one split through ... See full document

9

Wound Inflammatory Cells after Cardiac Surgery and the Patients’ Survival

Wound Inflammatory Cells after Cardiac Surgery and the Patients’ Survival

... Several of the wound inflammatory cells included in the model for WICN, like neutrophils, lymphocytes, monocytes and macrophages at least, are involved in atherosclerotic plaque formation, too [18]. Hence there is ... See full document

11

On selection of probability distributions of annual maximum daily rainfalls using TL-moments

On selection of probability distributions of annual maximum daily rainfalls using TL-moments

... (N), logistic (LOG), generalized logistic (GLO), extreme value type I (EV1), generalized extreme value type I (GEV) and generalized Pareto ... See full document

15

Original Article Not all mutations of KRAS predict poor prognosis in patients with colorectal cancer

Original Article Not all mutations of KRAS predict poor prognosis in patients with colorectal cancer

... Our analysis of characteristics of KRAS mutations revealed the mu- tation rate for codon 12 was ...Cox proportional hazard model studies showed that codon-12 mutations correlated with worse ... See full document

11

Analysis of Survival Data: Challenges and Algorithm-Based Model Selection

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... Cox proportional hazard model, that is popularly used to analyse survival data, cannot be used for modelling risk when the proportional hazard assumption is violated or when ... See full document

7

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