Table 4 above is displaying odds ratios for each predictor estimated by a multivariablelogistic regression model with all 6 predictors included at the same time. Based onthis model, what is the minimum number of in-hospital deaths they should have intheir dataset?A) 30B) 50C) 60D) 70 Table 4. Multivariable Logistic Regression for Predictorsof In-Hospital Death Among Those Receiving SurgeryaTime from initial hospital admissionto surgery, hAge per 10 yPresenting hypotension, shock,or tamponadePrior cardiac surgeryOdds ratio (95% CI)0.96 (0.94-0.99)1.51 (1.22-1.87)2.58 (1.53-4.35)2.80 (1.31-5.99)3.09 (1.83-5.23)1.05 (1.02-1.08)Preoperative malperfusionBody mass indexa C statistic: 0.787; Hosmer-Lemeshow P = .39.P value.02<.001<.001.008<.001.002

Table 4 presents odds ratios (95% CI) and p-values for predictors of in-hospital death from a…

Table 4 above is displaying odds ratios for each predictor estimated by a multivariablelogistic regression model with all 6 predictors included at the same time. Based onthis model, what is the minimum number of in-hospital deaths they should have intheir dataset? A) 30 B) 50 C) 60 D) 70

Table 4 above is displaying odds ratios for each predictor estimated by a multivariablelogistic regression model with all 6 predictors included at the same time. Based onthis model, what is the minimum number of in-hospital deaths they should have intheir dataset? A) 30 B) 50 C) 60 D) 70

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: Calculate the sample correlation coefficient r (show all your work). b) Calculate the regression…

A: The data of ages ( in years ) of 10 infants and the number of hours each slept in a day is given in…

Q: In a study of spot number in beetles, which have normally-distributed spot counts, you collect 46…

A: Given Collected beetles = 46 Average spot = 8.7 Regression estimate=0.83 Average of the first…

Q: A researcher is To evaluate its effectiveness, she obtains a sample of four volunteers. She…

A: We have used the excel data analysis tool to run the ANOVA analysis.The output is as under:

Q: We have the following data: P(A) = 0.36, P(A and B) = 0.12 and P(B) = 0.24 Find P(A/B)?

A: P(A)=0.36, P(A and B)=0.12 and P(B)=0.24 P(A|B)=?

Q: 2 pts The following is the result of the multiple linear regression analysis in STATISTICA, where…

A: Regression line consists of predictor and response variable. Predictor variable is also known as…

Q: In a quantitative dataset, which would be smaller, the standard deviation or the standard error of…

A: Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: The heights above sea level and average winter temperatures of cities in a particular country are…

A: Given that Sea level: AVG = 5400 ft, SD = 2100 ftAverage winter temperatures: AVG = 40 degrees F,…

Q: Question Two The following table gives the experience (in years) and the number of computers sold…

A: The regression equation, Y on XY=a+bXwhere a=intercept of regression line b=slope of…

Q: Find two lines of regressions from the following Data: Age of husband : 25, 21, 22.5, 26.3, 35.7,…

A: The provided information is as follows:The data set for the age of the husband and the age of the…

Q: In the 5 models above, which variable, by itself, explains the greatest proportion of total variance…

A: Predictor P for variable X3 is larger among all other variables. Hence variable X3 explains that…

Q: drug company wants to test a new cancer drug to find out if it improves life expectancy. Patients…

A: Hypothesis testing plays a major role in research and development. To diagnose the underlying cause…

Q: Questions is based on the results of the Coefficients and Statistics table from a Logistic…

A: Solution: The logistic regression output is given.

Q: The table below gives the age and bone density for five randomly selected women. Using this data,…

A: AgeBone Density3933859316603136531266311

Q: A researcher takes a sample of 150 employees of a company, the average age of company’s employees is…

A: Solution

Q: (a) Using the sample size of 50 people, calculate the tealc and p-value in the table given below.…

A: Here dependent variable (Y) is the state burglary rate per 100,000 people.There are four independent…

Q: Do the odds of churning increase or decrease when the customer is a senior citizen compared to a…

A: The table has various variables of a Logistic regression model. We are interested in the variable…

Q: a. Dependent variable: starting salary The regression equation is Ŷ = X + , where Ŷ is the…

A: a) The regression line is y = 38.739 + 4.0534X where Ŷ is the predicted value of starting salary…

Q: mean or expected value o zero O one any positive value

A: Given: Two statements are given

Q: How do I find the Lower and upper bound of a 95% prediction interval for the stopping interval if…

Q: 4. A pharmaceutical scientist has developed a drug that is expected to reduce hunger. To test the…

A: Given: Number of groups k=2 Total number of samples = 40 (20 samples in each group) f-value = 4…

Q: In a bivariate regression, the variable from which a prediction is made is called the predictor…

A: variable from which a prediction is made is called the predictor variable The variable to be…

Q: In the regression model ŷ = a + bx, a and b are the:

A: The regression model is y^=a+bx where, a is intercept and b is slope.

Q: The following table shows the starting salary and profile of a sample of 10 employees in a certain…

A: The data shows the starting salary and profile of a sample of 10 employees in a certain call center…

Q: For the 2001–2002 National Basketball Association season, Philadelphia 76ers Allen Iverson was the…

Q: Group of answer choices a. Binary Lostics Regression b. Non-parametric statistics c. ANOVA d,…

A: Which business research analysis assesses relationships between continuous data outputs and…

Q: Variation in gasoline mileage among makes and models of automobiles is influenced substantially by…

A: Given : Variation in gasoline mileage among makes and models of automobiles is influenced…

Q: Answer the questions with the data on picture, please. a) Determine the sample correlation…

A: x=16 ; sx=2 ; y=-6 ;sy=5 ;sxy=7 ; b1=-0.8;

Q: A study was made of movies in 2005. For each movie, the following were recorded: its budget (the…

A: The scatter plot is used to observe the relation in between variables. It consists of data points.…

Q: 9(20 pts). Correlation analysis and Simple Linear Regression. A study is con- ducted with a group of…

A: Analyzing the relationship between fat intake and cholesterol levels is crucial for understanding…

Q: Suppose that x and y are two variables of a population with x a predictor variable and y a response…

Q: Which of the following will help to mitigate confounding? A. Multiple regression model B.…

A: Which of the following will help to mitigate confounding? (A) Multiple regression model(B)…

Q: please answer question attach

A: (d)

Q: (1) An online retailer must decide whether to display advertisement A or advertisement B to each…

A: Answer:- 1)Classification problem. Here, we are more interested in prediction because the retailer…

Q: The electric energy consumed each month by a manufacturingwarehouse is imagined to be linked to the…

A: The given data represents multiple regression model. We have to test which variables are considered…

Q: A regression model to predict Y, the state burglary rate per 100,000 people, used the following four…

A: a) The number of independent variables is 4. The sample size n is 45. The degrees of freedom is…

Q: See the attached image for the introduction. Question: Fill in a blank ANOVA table.

Question

A) 30

B) 50

C) 60

D) 70

Table 4. Multivariable Logistic Regression for Predictors
of In-Hospital Death Among Those Receiving Surgerya
Time from initial hospital admission
to surgery, h
Age per 10 y
Presenting hypotension, shock,
or tamponade
Prior cardiac surgery
Odds ratio (95% CI)
0.96 (0.94-0.99)
1.51 (1.22-1.87)
2.58 (1.53-4.35)
2.80 (1.31-5.99)
3.09 (1.83-5.23)
1.05 (1.02-1.08)
Preoperative malperfusion
Body mass index
a C statistic: 0.787; Hosmer-Lemeshow P = .39.
P value
.02
<.001
<.001
.008
<.001
.002

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1: Given Information:

VIEW

Step 2: Determining the minimum number of deaths in-hospital

VIEW

Solution

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 3 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

If the regression line is not a "good fit" what would be better to use to approximate a response variable?
What does the correlation matrix for a multiple regression analysis contain?A. Multiple correlation coefficientsB. Simple correlation coefficientsC. Multiple coefficients of determinationD. Multiple standard errors of estimate
A researcher wants to make an equation that will predict a person's support for domestic surveillance from a variety of demographic characteristics (e.g., age, income). What method will they use? A) Multiple regression B) Correlation C) Two-factor ANOVA D) One-sample t-test
What is the odds ratio for a study with a logistic regression coefficient of -0.2524? a) 0.78 b) 1.00 c) -0.78 d) -2524
Parts b, c, and d only please.
The statistic used to test whether individual regression coefficients are different from zero in the population is: Select one: a. F O b. b Oc. R2 O d. t Clear my choice
The value of PRESS for five different regression models are A = 42.3, B = 47.4, C = 51.5, D =40.6, and E = 54.6. Based only on this statistic, which model is preferred?
d. Present major regression summary outputs for both regression lines showing: regression statistics, coefficients, standard error, t stats, p-values and 95% confidence interval.