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[solution]: Please assist me with my biostatistics questions. I need this


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Please assist me with my biostatistics questions. I need this done today. 


1) An open label study (where participant are aware of the treatment they are taking) is conducted to

 

assess the time relief following treatment in patients with arthritis. The following linear regression

 

equations are estimated relating time to pain relief measured in minutes (dependent variable) to

 

participant?s age (in years) gender (coded 1 for males and 0 for females) and severity of diseases (a score

 

ranging from 0 t0 100 with higher scores indicative of more severe arthritis.

 

Time to pain Relief = - 24.2 +0.9 Age

 

Time to pain Relief= 11.8 +19.3 male Gender

 

Time to pain Relief= 3.8 +0.4 severity

 

Time to pain Relief = -19.8 +0.50 Age +10.9 male Gender +0.2 severity

 

A) What is expected time to pain relief for a male following treatment?

 

B) What is the expected time to pain relief for a participant aged 50 following treatment

 

2) A study is conducted in patients with HIV. The primary outcome is CD4 cell count which is a measure

 

of the stage of the disease. Lower CD4 counts are associated with more advanced disease. The

 

investigators are interested in the association between vitamins and mineral supplements and CD4

 

count. A multiple regression analysis is performed relating CD4 count to use of supplements ( coded as

 

1=yes, 0=no) and to duration of HIV in years ( i.e. the number of years between the diagnosis of HIV and

 

the study date) for the analysis, y=CD4 count. Y=302 +15.1 supplements- 18.6 duration of HIV.

 

A) What is the expected CD4 count for a patient taking supplements who has had HIV for 2.5 years.

 

B) What is the expected CD4 count for a patient not taking supplement who was diagnosed with HIV

 

at study enrollment?

 

C) What is the expected CD4 count for a patient not taking supplements who has had HIV for 2.5 years

 

3) A randomized trial is conducted to evaluate the efficacy of a new cholesterol lowering medication. The

 

primary outcome is incident coronary artery disease. Participants are free of coronary artery disease at

 

the start of the study and randomized to receive either the new medication or a placebo. Participants

 

are followed for a maximum of 10 years for the development of coronary artery disease.

 

The following data are:

 

Number participants

 

Cholesterol medication

 

Placebo

 


 

400

 

400

 


 

number with coronary artery disease

 

28

 

42

 


 

A) Compute the Relative Risk of coronary artery disease in patients receiving the new medication as

 

compared to placebo.

 

Relative Risk =

 


 

B) Compute the Odd ratio of coronary artery disease in patients receiving the new medications as

 

compared to placebo

 

Odds Ratio =

 

4) A national survey is conducted to assess the association between hypertension and stroke in persons

 

over 75 years of age with a family history of stroke. Development of stroke is monitored over a 5 years

 

follow up period. The data are summarized below and the numbers are in millions.

 

Developed stroke

 


 

did not develop stroke

 


 

Hypertension

 


 

12

 


 

37

 


 

No Hypertension

 


 

4

 


 

26

 


 

A) Compute the cumulative incidence of stroke in persons over 75 years of age

 

Cumulative Incidence=

 

B) Compute the Relative Risk of stroke in hypertensive as compared to non- hypertensive persons

 

Relative Risk=

 

C) Compute the Odds Ratio of stroke in hypertensive as compared to non- hypertensive persons

 

Odds Ratio =

 


 

5) A small cohort study is conducted in 13 patients with an aggressive cellular disorder linked cancer. The

 

clinical courses of the patients are depicted graphically below.

 

A) Compute the prevalence of cancer at 12 months

 

Prevalence =

 

B Compute the cumulative Incidence of cancer at 12 months

 

Cumulative incidence 12 mths =

 

C) Compute the incidence rate (per month) of death

 

Incidence Rate = --------------per 1,000 person months.

 


 

 


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