Publications by Nirajan Budhathoki
Survival Analysis
Table of contents 1 Survival analysis 2 Data for survival analysis 2.1 Graphing the survival function 2.2 Comparing survival curves: Stratified Kaplan-Meier estimates 2.2.1 Customizable plot with ggsurvplot 2.2.2 Comparing survival functions with survdiff() 2.3 The Cox proportional hazards model 2.3.1 Predicting survival with Cox estimates 2....
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edaR
Exploratory Data Analysis Exploratory Data Analysis (EDA) is an approach to data analysis that mainly involves summarizing data using visualization methods. Prior to testing any hypothesis or developing model, EDA can be used to understand data, primarily the distribution of variables and relationship among them. EDA techniques are mostly graphic...
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bayesian_lr
Bayesian methods have been widely used for classification problems in machine learning. This study employs Bayesian technique for predicting diabetes in a well-known dataset. The Data Data for this study is taken from Kaggle https://www.kaggle.com/uciml/pima-indians-diabetes-database The data was collected by National Institute of Diabetes and ...
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Clustering of US States based on some COVID Statistics
Cluster Analysis Cluster analysis is a technique that groups large number of cases (observations) into small number of clusters based on a set of measurements collected from each observations. Cluster analysis can also be applied to variables as a tool for data reduction, such as choosing the best variables or cluster components for analysis. How...
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PIMAvariableselection
# setwd("U:/PRJ/Bayesian") diab = read.csv("/Users/nirajanbudhathoki/OneDrive - Central Michigan University/diabetes.csv") head(diab) ## Pregnancies Glucose BloodPressure SkinThickness Insulin BMI ## 1 6 148 72 35 0 33.6 ## 2 1 85 66 29 0 26.6 ## 3 8...
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Freq_logistic_pima
diab = read.csv("/Users/nirajanbudhathoki/OneDrive - Central Michigan University/diabetes.csv") head(diab) ## Pregnancies Glucose BloodPressure SkinThickness Insulin BMI ## 1 6 148 72 35 0 33.6 ## 2 1 85 66 29 0 26.6 ## 3 8 183 64 ...
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BLR_Feb11
Bayesian methods have been widely used for classification problems in machine learning. This study employs Bayesian technique for predicting diabetes in a well-known dataset. The Data Data for this study is taken from Kaggle https://www.kaggle.com/uciml/pima-indians-diabetes-database The data was collected by National Institute of Diabetes and D...
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