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(solution) Using a recent research study, identify and comment on the topic


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Using a recent research study, identify and comment on the topic of Linear Regression. Tell us about the

 

X & Y variables identified in the study, discuss the logic that relates these variables (how X can predict Y),

 

the type of regression used for the study, the level of significance and how the conclusion was reached.

 

Remember to include the citation (for others to reference) and the original post must be a minimum of

 

150 words to receive full credit.

 

A linear regression model can estimate hip fracture incidence

 

Reference:

 

Blanco, J. F., Corte?s, J., Diaz-Alvarez, A., Pescador, D., & del, P. J. (December 01, 2011). A linear regression

 

model can estimate hip fracture incidence. Archives of Osteoporosis, 6, 215-216.

 

Cohen, J., Cohen P., West, S.G., & Aiken, L.S. (2003). Applied multiple regression/correlation analysis for

 

the behavioral sciences. (2nd ed.) Hillsdale, NJ: Lawrence Erlbaum Associates

 

In the article ?A linear regression model can estimate hip fracture incidence? the doctors used a simple

 

linear regression model to figure out the incidence of hip fractures in the region. Determining the

 

incidence of hip fractures was important before launching a new successful program in the community.

 

We know from our readings that a linear regression is a valuable tool to help businesses with strategic

 

planning and developing. Linear regression is also an approach for modeling the relationship between a

 

scalar dependent variable y and one or more explanatory variables (or independent variable) denoted X.

 

In linear regression, the relationships are modeled using linear predictor functions whose unknown

 

model parameters are estimated from the data collection (Cohen, 2003).

 

The analyst collected data to determine the number of hip fractures from 1994-2002 also using a linear

 

regression model to establish the potential hip fractures up to 2015. Following the same methods, the

 

same data was collected during the period of 2004-2009 in order to ascertain the proposed model

 

proved to be exact or not. Since the goal is forecasting, linear regression can be used to fit a predictive

 

model to an observed data set of y and X values. After developing such a model, if an additional value of

 

X is then given without its accompanying value of y, the fitted model can be used to make a prediction of

 

the value of y. In the data collection the y is described as the observed incidences of hip fractures and

 

the X is described as estimate incidences due to total number of reported fractures. The X can predict

 

the y because the total number of reported fractures can determine what percentage could lead to

 

actually having a hip fracture.

 

After the analysis is complete, the article reports that the results support that the estimation of hip

 

fracture incidence by constructing a mathematical regression model that can help health authorities to

 

establish early intervention strategies.

 

Hip fractures are a real health problem in the elderly [1]. Before launching a program for hip fracture

 

prevention, knowing the incidence of hip fractures in a determined region is mandatory. In 2006 we

 

published in Archives of Osteoporosis a manuscript on the incidence of osteoporotic hip fractures in our

 

area (Salamanca, Spain) over the period 1994?2002, establishing a mathematical regression model to

 


 

estimate the number of fractures up to 2015 [2]. Following the same methods used in this previous work

 

[2], we collected data on hip fractures during the period 2004?2009 in order to ascertain whether the

 

proposed model proved to be exact or not. These data are presented in Tables 1 and 2, and they show

 

that the incidence of osteoporotic hip fractures in 2004?2009 concurs with the estimation of our

 

mathematical model. Although incidence of fractures is increasing with time, it seems to reach a plateau

 

or even showing some decrease. Some authors have pointed out the fact that the incidence of hip

 

fractures is declining in the last few years [3, 4]. This change in the trend towards a decrease in hip

 

fracture incidence is not homogeneous and may vary among countries. In addition, the gender should

 

also be taken into account [5, 6]. In Spain, the data available show differences between regions [7],

 

although the trend appears similar to our study [8].

 


 

 


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