ºÝºÝߣshows by User: KrishnaShriram / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: KrishnaShriram / Wed, 26 Aug 2020 11:11:07 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: KrishnaShriram Introduction to Bayesian theory /slideshow/introduction-to-bayesian-theory/238267624 introductiontobayesiantheory-200826111107
Bayesian theory was developed to improve forecast accuracy by combining subjective prediction with improvement from newly collected data. Bayesian probability is used to improve forecasting in medicine. Bayesian theory provides a method to weigh the prior information (e.g. physical diagnosis) and new information (e.g. results from laboratory tests) to estimate a new probability for predicting the disease.]]>
Bayesian theory was developed to improve forecast accuracy by combining subjective prediction with improvement from newly collected data. Bayesian probability is used to improve forecasting in medicine. Bayesian theory provides a method to weigh the prior information (e.g. physical diagnosis) and new information (e.g. results from laboratory tests) to estimate a new probability for predicting the disease.]]> Wed, 26 Aug 2020 11:11:07 GMT /slideshow/introduction-to-bayesian-theory/238267624 KrishnaShriram@slideshare.net(KrishnaShriram) Introduction to Bayesian theory KrishnaShriram Bayesian theory was developed to improve forecast accuracy by combining subjective prediction with improvement from newly collected data. Bayesian probability is used to improve forecasting in medicine. Bayesian theory provides a method to weigh the prior information (e.g. physical diagnosis) and new information (e.g. results from laboratory tests) to estimate a new probability for predicting the disease. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontobayesiantheory-200826111107-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Bayesian theory was developed to improve forecast accuracy by combining subjective prediction with improvement from newly collected data. Bayesian probability is used to improve forecasting in medicine. Bayesian theory provides a method to weigh the prior information (e.g. physical diagnosis) and new information (e.g. results from laboratory tests) to estimate a new probability for predicting the disease.
Introduction to Bayesian theory from Krishna Shriram.D
]]> 2037 0 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontobayesiantheory-200826111107-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Population pharmacokinetics /slideshow/population-pharmacokinetics-238267452/238267452 populationpharmacokinetics-200826105914
Population pharmacokinetics (PopPK) is the study of variability in plasma drug concentrations between and within patient populations receiving therapeutic doses of a drug. • Population modelling provides estimates of typical drug levels and drug effects (PK or PK/PD parameters) in a specific population by identifying sources of variability (covariates) in a population and then quantifying the impact of each covariate through a modelling system. • Population pharmacokinetics can be used to assist with therapeutic drug monitoring (TDM) and the principles of dosage adjustments. • Population analysis identifies and quantitates this difference, assesses whether this difference will alter the dose-concentration-effect relationship, and then consequently determines if dose adjustment is needed. • A dosing regimen based on Pop PK or PK/PD analysis should be included in the drug label. ]]>
Population pharmacokinetics (PopPK) is the study of variability in plasma drug concentrations between and within patient populations receiving therapeutic doses of a drug. • Population modelling provides estimates of typical drug levels and drug effects (PK or PK/PD parameters) in a specific population by identifying sources of variability (covariates) in a population and then quantifying the impact of each covariate through a modelling system. • Population pharmacokinetics can be used to assist with therapeutic drug monitoring (TDM) and the principles of dosage adjustments. • Population analysis identifies and quantitates this difference, assesses whether this difference will alter the dose-concentration-effect relationship, and then consequently determines if dose adjustment is needed. • A dosing regimen based on Pop PK or PK/PD analysis should be included in the drug label. ]]> Wed, 26 Aug 2020 10:59:14 GMT /slideshow/population-pharmacokinetics-238267452/238267452 KrishnaShriram@slideshare.net(KrishnaShriram) Population pharmacokinetics KrishnaShriram Population pharmacokinetics (PopPK) is the study of variability in plasma drug concentrations between and within patient populations receiving therapeutic doses of a drug. • Population modelling provides estimates of typical drug levels and drug effects (PK or PK/PD parameters) in a specific population by identifying sources of variability (covariates) in a population and then quantifying the impact of each covariate through a modelling system. • Population pharmacokinetics can be used to assist with therapeutic drug monitoring (TDM) and the principles of dosage adjustments. • Population analysis identifies and quantitates this difference, assesses whether this difference will alter the dose-concentration-effect relationship, and then consequently determines if dose adjustment is needed. • A dosing regimen based on Pop PK or PK/PD analysis should be included in the drug label. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/populationpharmacokinetics-200826105914-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Population pharmacokinetics (PopPK) is the study of variability in plasma drug concentrations between and within patient populations receiving therapeutic doses of a drug. • Population modelling provides estimates of typical drug levels and drug effects (PK or PK/PD parameters) in a specific population by identifying sources of variability (covariates) in a population and then quantifying the impact of each covariate through a modelling system. • Population pharmacokinetics can be used to assist with therapeutic drug monitoring (TDM) and the principles of dosage adjustments. • Population analysis identifies and quantitates this difference, assesses whether this difference will alter the dose-concentration-effect relationship, and then consequently determines if dose adjustment is needed. • A dosing regimen based on Pop PK or PK/PD analysis should be included in the drug label.
Population pharmacokinetics from Krishna Shriram.D
]]> 477 0 https://cdn.slidesharecdn.com/ss_thumbnails/populationpharmacokinetics-200826105914-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-KrishnaShriram-48x48.jpg?cb=1718001166 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontobayesiantheory-200826111107-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/introduction-to-bayesian-theory/238267624 Introduction to Bayesi... https://cdn.slidesharecdn.com/ss_thumbnails/populationpharmacokinetics-200826105914-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/population-pharmacokinetics-238267452/238267452 Population pharmacokin...