please use RThe dataset diabetic (from the survival package) contains results from a clinical trial of laser coagulation for treatment of diabetic retinopathy (the Diabetic Retinopathy Study, or DRS). Each patient had one eye randomized to laser treatment while the other eye received no treatment. The study outcome is visual acuity dropping below 5/200 for two consecutive visits. The time-to-event variable is time (in months), the censoring variable is status (0=censored, 1=visual loss).Visualize the relationship between laser treatment and visual loss using a Kaplan-Meier plot.Calculate the median survival time for each treatment group and compare. Does laser treatment appear to delay visual loss?Use a log-rank test to test the hypothesis that laser treatment affects time to visual loss.Create a variable called juvenile that is equal to 1 for patients under the age of 20, and equal to zero otherwise. Run a Cox proportional hazards model to determine if there is an interaction between juvenile diabetes and laser treatment. Does the effect of laser treatment differ for juveniles vs. adults (e., does interaction exist)?

Answered: please use R The dataset diabetic…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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please use R

The dataset diabetic (from the survival package) contains results from a clinical trial of laser coagulation for treatment of diabetic retinopathy (the Diabetic Retinopathy Study, or DRS). Each patient had one eye randomized to laser treatment while the other eye received no treatment. The study outcome is visual acuity dropping below 5/200 for two consecutive visits. The time-to-event variable is time (in months), the censoring variable is status (0=censored, 1=visual loss).

Visualize the relationship between laser treatment and visual loss using a Kaplan-Meier plot.
Calculate the median survival time for each treatment group and compare. Does laser treatment appear to delay visual loss?
Use a log-rank test to test the hypothesis that laser treatment affects time to visual loss.
Create a variable called juvenile that is equal to 1 for patients under the age of 20, and equal to zero otherwise. Run a Cox proportional hazards model to determine if there is an interaction between juvenile diabetes and laser treatment. Does the effect of laser treatment differ for juveniles vs. adults (e., does interaction exist)?

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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Given the dataset diabetic (from the survival package) contains results from a clinical trial of laser coagulation for the treatment of diabetic retinopathy (the Diabetic Retinopathy Study, or DRS).