Bone Marrow Transplantation for Leukemia.ppt by tongxiamy


									Seminar #12

              Rhajiv Ratnatunga
              Honors STAT 1000
   Bone marrow transplantation is one of the
    most common treatments for acute
 The purpose of this study was to consider the
  effects of bone marrow transplantation with a
  radiation-free conditioning regimen.
 Patients were given different drugs in two groups at
  four different hospitals (two in US and two in
 137 patients were studied (97 in the US and 40 in
  Australia) from 1984 to 1989.
   This study was….
          a) Retrospective observational study
          b) Prospective observational study

          c) Experiment

       c – This was an experiment because the experimenters controlled
       different variables (specifically, the types of drugs given) in order to
       see their effect on recovery from or relapse into acute leukemia. The
       study was two sample since the study looked at the effects of two
       independent drug treatments.
   The experimenters grouped individuals into
    many different risk categories.
   Donor age and recipient age was one of the
    risk categories.
   Since we start with a recipient who needs a
          The explanatory variable is     recipient age

          The response variable is      donor age.
                                      S = 6.55008
The regression equation is
                                      R-Sq = 54.0%
Recipient = 8.89 + 0.684 Recipients
                                      r = .734846 (fairly strong + relationship)
   Positive slope of .790 means that for every
    additional year in the age of the donor, we
    expect the age of the recipient to go up
    around 9.6 months.
   Fairly strong positive correlation supports
    this relationship.
   None of the recipients were less than 1 year
   Intercept is of no interpretive value since it
    deals with a recipient age of 0
   The s value of 6.55008 meant that ages
    predicted by the regression line tended to be
    off on average by around 6.5 years from the
    actual ages.
   This difference makes sense when looking at
    the r value of the correlation r = .734846
    (fairly strong + relationship)
Why are ages positively correlated?
 Bone marrow transplantation need exact
  matches of Human leukocyte antigen
 Highest percentage of matches found


Parent donation vs. Sibling donation
   Was this study reported from a sample or population?
   The experimenters tried to categorize risk
    factors prior to transplantation in order to
    reduce confounding variables.
   Objective determinations such as “death”
    and “remission” do not involve bias.

To top